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@ -22,7 +22,8 @@ As a large portion of the translation and conversion was done with the assistanc
You can visit the deployed documentation site via the following link:
https://promptsdoc.itycon.cn/
**(You can replace this with your GitHub Pages link)**
`https://[Your-Username].github.io/system-prompts-and-models-of-ai-tools/`
---

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@ -18,7 +18,7 @@
## 访问线上网站
https://promptsdoc.itycon.cn/
您可以通过以下链接访问部署好的文档网站
---

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# 项目中的AI工具列表
## AI工具名称
- Amp
- Anthropic
- Augment Code
- Claude Code
- Cluely
- CodeBuddy Prompts
- Comet Assistant
- Cursor Prompts
- Devin AI
- Junie
- Kiro
- Manus Agent Tools & Prompt
- Open Source prompts (包含 Bolt, Cline, Codex CLI, Gemini CLI, Lumo, RooCode)
- Perplexity
- Replit
- VSCode Agent
- v0 Prompts and Tools
- Warp.dev
- Z.ai Code
- Leap.new
- Lovable
- Poke
- Qoder
- Same.dev
- Trae
- Traycer AI
- Windsurf
- Xcode
- NotionAi

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@ -45,31 +45,10 @@ function getSidebar(dir, sidebarTitle) {
export default defineConfig({
head: [
['link', { rel: 'icon', href: '/logo.svg' }],
// Open Graph / Facebook Meta Tags
['meta', { property: 'og:type', content: 'website' }],
['meta', { property: 'og:url', content: 'https://promptsdoc.itycon.cn/' }], // Use the provided hostname
['meta', { property: 'og:title', content: 'AI System Prompts Hub' }], // Uses global title
['meta', { property: 'og:description', content: 'A collection of system prompts for various AI tools.' }], // Uses global description
['meta', { property: 'og:image', content: 'https://promptsdoc.itycon.cn/logo.svg' }], // Placeholder, consider a more descriptive image
// Twitter Meta Tags
['meta', { property: 'twitter:card', content: 'summary_large_image' }],
['meta', { property: 'twitter:url', content: 'https://promptsdoc.itycon.cn/' }], // Use the provided hostname
['meta', { property: 'twitter:title', content: 'AI System Prompts Hub' }], // Uses global title
['meta', { property: 'twitter:description', content: 'A collection of system prompts for various AI tools.' }], // Uses global description
['meta', { property: 'twitter:image', content: 'https://promptsdoc.itycon.cn/logo.svg' }], // Placeholder, consider a more descriptive image
// Canonical URL
['link', { rel: 'canonical', href: 'https://promptsdoc.itycon.cn' + (typeof window !== 'undefined' ? window.location.pathname : '') }],
// Import custom styles
['link', { rel: 'stylesheet', href: '/styles/custom.css' }],
['link', { rel: 'icon', href: '/logo.svg' }]
],
title: 'AI System Prompts Hub',
description: 'A collection of system prompts for various AI tools.',
lastUpdated: true, // Enable last updated timestamp
sitemap: {
hostname: 'https://promptsdoc.itycon.cn'
},
themeConfig: {
logo: '/logo.svg',
@ -139,7 +118,7 @@ export default defineConfig({
label: '简体中文',
lang: 'zh-CN',
link: '/zh/',
title: 'AI 系统提示词仓库',
title: 'AI 系统提示词中心',
themeConfig: {
nav: [
{ text: '首页', link: '/zh/' },

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import{_ as t,c as i,o,ae as n}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{"layout":"page","sidebar":false,"outline":false,"docFooter":{"prev":false,"next":false}},"headers":[],"relativePath":"en/about.md","filePath":"en/about.md","lastUpdated":1760501325000}'),a={name:"en/about.md"};function s(r,e,l,d,c,m){return o(),i("div",null,[...e[0]||(e[0]=[n('<div class="timeline-section"><h2>🛠️ Implementation Roadmap</h2><div class="timeline"><div class="timeline-item"><div class="timeline-content"><h3>1. Fork Official Repository</h3><p>Fork the <a href="https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools" target="_blank">official repository</a> to your personal account, establishing the foundation for secondary development.</p></div></div><div class="timeline-item"><div class="timeline-content"><h3>2. Convert Document Format</h3><p>Use custom scripts in the <code>scripts</code> directory to batch convert source files into a unified Markdown format, generating both &#39;zh&#39; and &#39;en&#39; document folders.</p></div></div><div class="timeline-item"><div class="timeline-content"><h3>3. Translation and Localization</h3><p>Translate and proofread the generated Markdown documents, completing the localization to prepare for a bilingual website.</p></div></div><div class="timeline-item"><div class="timeline-content"><h3>4. Build Documentation Website</h3><p>Build a bilingual static website based on VitePress, with deep customization including theme, navigation, and homepage layout.</p></div></div><div class="timeline-item"><div class="timeline-content"><h3>5. Configure Automatic Synchronization</h3><p>Configure GitHub Actions to automatically detect updates in the upstream repository and generate intuitive update reports for review and manual synchronization.</p></div></div><div class="timeline-item"><div class="timeline-content"><h3>6. Deploy to Vercel</h3><p>After the project builds successfully locally, deploy it online via Vercel. There&#39;s a certain free tier, allowing for almost 0 cost successful operation.</p></div></div></div></div><div style="max-width:800px;margin:60px auto;text-align:left;"><p style="font-size:1.1em;line-height:1.7;color:var(--vp-c-text-2);text-indent:2em;"> This project is primarily based on the open-source project &quot;system prompts and models of ai tools&quot;. Building upon the original project, the documentation has been further summarized and localized. Therefore, my summary focuses on the Chinese version, and the English part might not be entirely accurate. However, for native prompts, it is best to refer back to the original English text in the repository. The project has been completely refactored into a modern static documentation website using the VitePress tech stack, aiming to provide a better browsing and reading experience. Custom scripts in the `scripts` directory are used to batch convert source files into a unified Markdown format, generating both &#39;zh&#39; and &#39;en&#39; document folders. The generated Markdown documents are translated and proofread, completing the localization to prepare for a bilingual website. A bilingual static website is built based on VitePress, with deep customization including theme, navigation, and homepage layout. Finally, it is deployed on Vercel to save deployment costs. However, since most translations are done by AI, some translations might contain errors. If in doubt, it is recommended to directly check the content of the original repository. </p></div>',2)])])}const u=t(a,[["render",s]]);export{h as __pageData,u as default};

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import{_ as t,c as i,o,ae as n}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{"layout":"page","sidebar":false,"outline":false,"docFooter":{"prev":false,"next":false}},"headers":[],"relativePath":"en/about.md","filePath":"en/about.md","lastUpdated":1760501325000}'),a={name:"en/about.md"};function s(r,e,l,d,c,m){return o(),i("div",null,[...e[0]||(e[0]=[n("",2)])])}const u=t(a,[["render",s]]);export{h as __pageData,u as default};

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@ -0,0 +1 @@
import{_ as t,c as i,o,ae as a}from"./chunks/framework.CBTkueSR.js";const u=JSON.parse('{"title":"","description":"","frontmatter":{"layout":"page","sidebar":false,"outline":false,"docFooter":{"prev":false,"next":false}},"headers":[],"relativePath":"en/about.md","filePath":"en/about.md"}'),n={name:"en/about.md"};function s(r,e,d,c,l,m){return o(),i("div",null,[...e[0]||(e[0]=[a('<div class="timeline-section"><h2>🛠️ Implementation Route</h2><div class="timeline"><div class="timeline-item"><div class="timeline-content"><h3>1. Fork Official Repository</h3><p>Forked the <a href="https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools" target="_blank">official repository</a> to my personal account to establish a basis for secondary development.</p></div></div><div class="timeline-item"><div class="timeline-content"><h3>2. Convert Document Format</h3><p>Used a custom script in the <code>scripts</code> directory to batch convert source files into a unified Markdown format and generate two document folders, zh and en.</p></div></div><div class="timeline-item"><div class="timeline-content"><h3>3. Translation &amp; Localization</h3><p>Translated and proofread the generated Markdown documents to prepare for a bilingual website.</p></div></div><div class="timeline-item"><div class="timeline-content"><h3>4. Build Documentation Site</h3><p>Built a bilingual static site based on VitePress, with deep customization for the theme, navigation, and homepage layout.</p></div></div><div class="timeline-item"><div class="timeline-content"><h3>5. Configure Auto-Sync</h3><p>Configured a GitHub Action to automatically detect upstream updates and generate intuitive reports for review and manual synchronization.</p></div></div></div></div><div style="max-width:800px;margin:60px auto;text-align:center;"><p style="font-size:1.1em;line-height:1.7;color:var(--vp-c-text-2);"> Based on the original project, I have completely refactored it into a modern static documentation website using the <strong>VitePress</strong> tech stack, aiming to provide a better browsing and reading experience. Using custom scripts in the `scripts` directory, the source files are batch converted into a unified Markdown format, and two document folders, zh and en, are generated. The generated Markdown documents are translated and proofread to complete the Chinese localization in preparation for the subsequent bilingual website. A bilingual static website is built based on VitePress, with deep customization including theme, navigation, and homepage layout. However, since most of the translation and conversion was done by AI, some errors may exist. If you have any doubts, it is recommended to check the content of the original repository directly. </p></div>',2)])])}const h=t(n,[["render",s]]);export{u as __pageData,h as default};

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@ -0,0 +1 @@
import{_ as t,c as i,o,ae as a}from"./chunks/framework.CBTkueSR.js";const u=JSON.parse('{"title":"","description":"","frontmatter":{"layout":"page","sidebar":false,"outline":false,"docFooter":{"prev":false,"next":false}},"headers":[],"relativePath":"en/about.md","filePath":"en/about.md"}'),n={name:"en/about.md"};function s(r,e,d,c,l,m){return o(),i("div",null,[...e[0]||(e[0]=[a("",2)])])}const h=t(n,[["render",s]]);export{u as __pageData,h as default};

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import{_ as n,c as a,o as i,ae as l}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/amp/claude-4-sonnet.md","filePath":"en/amp/claude-4-sonnet.md","lastUpdated":1760155324000}'),e={name:"en/amp/claude-4-sonnet.md"};function p(t,s,h,k,r,F){return i(),a("div",null,[...s[0]||(s[0]=[l("",3)])])}const o=n(e,[["render",p]]);export{d as __pageData,o as default};

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@ -1,4 +1,4 @@
import{_ as n,c as a,o as i,ae as l}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/amp/claude-4-sonnet.md","filePath":"en/amp/claude-4-sonnet.md","lastUpdated":1760155324000}'),e={name:"en/amp/claude-4-sonnet.md"};function p(t,s,h,k,r,F){return i(),a("div",null,[...s[0]||(s[0]=[l(`<h2 id="claude-4-sonnet-yaml" tabindex="-1">claude-4-sonnet.yaml <a class="header-anchor" href="#claude-4-sonnet-yaml" aria-label="Permalink to &quot;claude-4-sonnet.yaml&quot;"></a></h2><div class="language-yaml vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">yaml</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#22863A;--shiki-dark:#85E89D;">system</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">:</span></span>
import{_ as n,c as a,o as i,ae as l}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/amp/claude-4-sonnet.md","filePath":"en/amp/claude-4-sonnet.md"}'),e={name:"en/amp/claude-4-sonnet.md"};function p(t,s,h,k,r,F){return i(),a("div",null,[...s[0]||(s[0]=[l(`<h2 id="claude-4-sonnet-yaml" tabindex="-1">claude-4-sonnet.yaml <a class="header-anchor" href="#claude-4-sonnet-yaml" aria-label="Permalink to &quot;claude-4-sonnet.yaml&quot;"></a></h2><div class="language-yaml vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">yaml</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#22863A;--shiki-dark:#85E89D;">system</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">:</span></span>
<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;"> - </span><span style="--shiki-light:#22863A;--shiki-dark:#85E89D;">type</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">text</span></span>
<span class="line"><span style="--shiki-light:#22863A;--shiki-dark:#85E89D;"> text</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">&gt;</span></span>
<span class="line"></span>

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@ -0,0 +1 @@
import{_ as n,c as a,o as i,ae as l}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/amp/claude-4-sonnet.md","filePath":"en/amp/claude-4-sonnet.md"}'),e={name:"en/amp/claude-4-sonnet.md"};function p(t,s,h,k,r,F){return i(),a("div",null,[...s[0]||(s[0]=[l("",3)])])}const o=n(e,[["render",p]]);export{d as __pageData,o as default};

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@ -1,4 +1,4 @@
import{_ as a,c as n,o as i,ae as l}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/amp/gpt-5.md","filePath":"en/amp/gpt-5.md","lastUpdated":1760155324000}'),p={name:"en/amp/gpt-5.md"};function e(t,s,h,k,r,F){return i(),n("div",null,[...s[0]||(s[0]=[l(`<h2 id="gpt-5-yaml" tabindex="-1">gpt-5.yaml <a class="header-anchor" href="#gpt-5-yaml" aria-label="Permalink to &quot;gpt-5.yaml&quot;"></a></h2><div class="language-yaml vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">yaml</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#22863A;--shiki-dark:#85E89D;">~debug</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">:</span></span>
import{_ as a,c as n,o as i,ae as l}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/amp/gpt-5.md","filePath":"en/amp/gpt-5.md"}'),p={name:"en/amp/gpt-5.md"};function e(t,s,h,k,r,F){return i(),n("div",null,[...s[0]||(s[0]=[l(`<h2 id="gpt-5-yaml" tabindex="-1">gpt-5.yaml <a class="header-anchor" href="#gpt-5-yaml" aria-label="Permalink to &quot;gpt-5.yaml&quot;"></a></h2><div class="language-yaml vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">yaml</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#22863A;--shiki-dark:#85E89D;">~debug</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">:</span></span>
<span class="line"><span style="--shiki-light:#22863A;--shiki-dark:#85E89D;"> lastInferenceUsage</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">*</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">ref_0</span></span>
<span class="line"><span style="--shiki-light:#22863A;--shiki-dark:#85E89D;"> lastInferenceInput</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">:</span></span>
<span class="line"><span style="--shiki-light:#22863A;--shiki-dark:#85E89D;"> model</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">gpt-5</span></span>

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import{_ as a,c as n,o as i,ae as l}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/amp/gpt-5.md","filePath":"en/amp/gpt-5.md"}'),p={name:"en/amp/gpt-5.md"};function e(t,s,h,k,r,F){return i(),n("div",null,[...s[0]||(s[0]=[l("",3)])])}const E=a(p,[["render",e]]);export{d as __pageData,E as default};

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import{_ as a,c as n,o as i,ae as l}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/amp/gpt-5.md","filePath":"en/amp/gpt-5.md","lastUpdated":1760155324000}'),p={name:"en/amp/gpt-5.md"};function e(t,s,h,k,r,F){return i(),n("div",null,[...s[0]||(s[0]=[l("",3)])])}const E=a(p,[["render",e]]);export{d as __pageData,E as default};

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import{_ as t,c as o,o as a,ae as s}from"./chunks/framework.CBTkueSR.js";const i="/assets/view-thread-yaml.Bu7VY5Z2.png",u=JSON.parse('{"title":"Amp (EN)","description":"","frontmatter":{},"headers":[],"relativePath":"en/amp/index.md","filePath":"en/amp/index.md","lastUpdated":1760450691000}'),n={name:"en/amp/index.md"};function r(l,e,d,p,c,h){return a(),o("div",null,[...e[0]||(e[0]=[s('<h1 id="amp-en" tabindex="-1">Amp (EN) <a class="header-anchor" href="#amp-en" aria-label="Permalink to &quot;Amp (EN)&quot;"></a></h1><h1 id="how-to-obtain-the-system-prompt-for-amp" tabindex="-1">How to obtain the system prompt for <a href="https://ampcode.com" target="_blank" rel="noreferrer">Amp</a> <a class="header-anchor" href="#how-to-obtain-the-system-prompt-for-amp" aria-label="Permalink to &quot;How to obtain the system prompt for [Amp](https://ampcode.com)&quot;"></a></h1><ol><li>Login with Amp using VScode</li><li>Issue a short query into Amp</li><li>Hold down Alt (windows) or Option (macOS) and click on the workspace button</li></ol><p><img src="'+i+`" alt=""></p><ol start="4"><li>Click view Thread YAML</li></ol><h1 id="notes" tabindex="-1">Notes <a class="header-anchor" href="#notes" aria-label="Permalink to &quot;Notes&quot;"></a></h1><p>The system prompt used by Amp is tuned to Sonnet 4.x and has other LLMs registered into it as tools (&quot;the oracle&quot;). To obtain the <code>GPT-5</code> tuned system prompt then you need to configure VSCode user settings with the following and then follow the steps above again</p><div class="language-json vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">json</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">{</span></span>
import{_ as t,c as o,o as a,ae as s}from"./chunks/framework.CBTkueSR.js";const i="/assets/view-thread-yaml.Bu7VY5Z2.png",u=JSON.parse('{"title":"Amp (EN)","description":"","frontmatter":{},"headers":[],"relativePath":"en/amp/index.md","filePath":"en/amp/index.md"}'),n={name:"en/amp/index.md"};function r(l,e,p,d,c,h){return a(),o("div",null,[...e[0]||(e[0]=[s('<h1 id="amp-en" tabindex="-1">Amp (EN) <a class="header-anchor" href="#amp-en" aria-label="Permalink to &quot;Amp (EN)&quot;"></a></h1><h1 id="how-to-obtain-the-system-prompt-for-amp" tabindex="-1">How to obtain the system prompt for <a href="https://ampcode.com" target="_blank" rel="noreferrer">Amp</a> <a class="header-anchor" href="#how-to-obtain-the-system-prompt-for-amp" aria-label="Permalink to &quot;How to obtain the system prompt for [Amp](https://ampcode.com)&quot;"></a></h1><ol><li>Login with Amp using VScode</li><li>Issue a short query into Amp</li><li>Hold down Alt (windows) or Option (macOS) and click on the workspace button</li></ol><p><img src="'+i+`" alt=""></p><ol start="4"><li>Click view Thread YAML</li></ol><h1 id="notes" tabindex="-1">Notes <a class="header-anchor" href="#notes" aria-label="Permalink to &quot;Notes&quot;"></a></h1><p>The system prompt used by Amp is tuned to Sonnet 4.x and has other LLMs registered into it as tools (&quot;the oracle&quot;). To obtain the <code>GPT-5</code> tuned system prompt then you need to configure VSCode user settings with the following and then follow the steps above again</p><div class="language-json vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">json</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">{</span></span>
<span class="line"><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> &quot;amp.url&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">&quot;https://ampcode.com/&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">,</span></span>
<span class="line"><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> &quot;amp.gpt5&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">true</span></span>
<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">}</span></span></code></pre></div><h2 id="summary-of-product-tool-documents" tabindex="-1">Summary of Product Tool Documents <a class="header-anchor" href="#summary-of-product-tool-documents" aria-label="Permalink to &quot;Summary of Product Tool Documents&quot;"></a></h2><p>This directory contains system prompts designed for the AI coding agent &quot;Amp&quot;. Built by Sourcegraph, Amp is designed to help users with software engineering tasks. The files in this directory demonstrate how Amp is configured and optimized for different underlying large language models.</p><ul><li><p><strong><code>claude-4-sonnet.md</code></strong>: This is the system prompt configured for Amp, targeting Anthropic&#39;s Claude Sonnet 4 model. It defines in detail Amp&#39;s agent behavior, task management (<code>todo_write</code> tool), code conventions, and communication style. A core feature is the frequent use of the <code>oracle</code> tool, an expert consultant played by another LLM (in this case, GPT-5), used for guidance in planning, reviewing, and debugging complex tasks.</p></li><li><p><strong><code>gpt-5.md</code></strong>: This is the system prompt configured for Amp, targeting OpenAI&#39;s GPT-5 model. This version also defines Amp&#39;s agent behavior but places more emphasis on a Parallel Execution Policy, rapid context understanding, and strict Guardrails. It also mentions the use of an <code>oracle</code> (possibly played by Claude Sonnet 4 here) and other sub-agents (<code>Task</code>, <code>Codebase Search</code>) to complete tasks collaboratively.</p></li></ul><p>In summary, the <code>amp</code> directory showcases a flexible, multi-model collaborative AI agent architecture by providing customized system prompts for different LLMs. It utilizes a primary model (like Claude Sonnet 4) to execute tasks while using another powerful model (like GPT-5) as an &quot;oracle&quot; tool to provide expert advice, thereby achieving more powerful and reliable programming assistance capabilities.</p>`,12)])])}const g=t(n,[["render",r]]);export{u as __pageData,g as default};

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import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/anthropic/Claude Code 2.0.md","filePath":"en/anthropic/Claude Code 2.0.md","lastUpdated":1760450691000}'),t={name:"en/anthropic/Claude Code 2.0.md"};function l(o,s,i,c,r,u){return e(),a("div",null,[...s[0]||(s[0]=[p(`<h2 id="claude-code-2-0-txt" tabindex="-1">Claude Code 2.0.txt <a class="header-anchor" href="#claude-code-2-0-txt" aria-label="Permalink to &quot;Claude Code 2.0.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span># Claude Code Version 2.0.0</span></span>
import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/anthropic/Claude Code 2.0.md","filePath":"en/anthropic/Claude Code 2.0.md"}'),t={name:"en/anthropic/Claude Code 2.0.md"};function l(o,s,i,c,r,u){return e(),a("div",null,[...s[0]||(s[0]=[p(`<h2 id="claude-code-2-0-txt" tabindex="-1">Claude Code 2.0.txt <a class="header-anchor" href="#claude-code-2-0-txt" aria-label="Permalink to &quot;Claude Code 2.0.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span># Claude Code Version 2.0.0</span></span>
<span class="line"><span></span></span>
<span class="line"><span>Release Date: 2025-09-29</span></span>
<span class="line"><span></span></span>

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import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/anthropic/Claude Code 2.0.md","filePath":"en/anthropic/Claude Code 2.0.md"}'),t={name:"en/anthropic/Claude Code 2.0.md"};function l(o,s,i,c,r,u){return e(),a("div",null,[...s[0]||(s[0]=[p("",2)])])}const m=n(t,[["render",l]]);export{h as __pageData,m as default};

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import{_ as n,c as a,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/anthropic/Sonnet 4.5 Prompt.md","filePath":"en/anthropic/Sonnet 4.5 Prompt.md","lastUpdated":1760450691000}'),o={name:"en/anthropic/Sonnet 4.5 Prompt.md"};function i(p,s,l,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[t(`<h2 id="sonnet-4-5-prompt-txt" tabindex="-1">Sonnet 4.5 Prompt.txt <a class="header-anchor" href="#sonnet-4-5-prompt-txt" aria-label="Permalink to &quot;Sonnet 4.5 Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>The assistant is Claude, created by Anthropic. The current date is Monday, September 29, 2025.</span></span>
import{_ as n,c as a,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/anthropic/Sonnet 4.5 Prompt.md","filePath":"en/anthropic/Sonnet 4.5 Prompt.md"}'),o={name:"en/anthropic/Sonnet 4.5 Prompt.md"};function i(p,s,l,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[t(`<h2 id="sonnet-4-5-prompt-txt" tabindex="-1">Sonnet 4.5 Prompt.txt <a class="header-anchor" href="#sonnet-4-5-prompt-txt" aria-label="Permalink to &quot;Sonnet 4.5 Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>The assistant is Claude, created by Anthropic. The current date is Monday, September 29, 2025.</span></span>
<span class="line"><span></span></span>
<span class="line"><span>Claude&#39;s knowledge base was last updated in January 2025. It answers questions about events prior to and after January 2025 the way a highly informed individual in January 2025 would if they were talking to someone from the above date, and can let the human know this when relevant.</span></span>
<span class="line"><span></span></span>

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import{_ as n,c as a,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/anthropic/Sonnet 4.5 Prompt.md","filePath":"en/anthropic/Sonnet 4.5 Prompt.md"}'),o={name:"en/anthropic/Sonnet 4.5 Prompt.md"};function i(p,s,l,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[t("",2)])])}const m=n(o,[["render",i]]);export{h as __pageData,m as default};

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import{_ as n,c as a,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/anthropic/Sonnet 4.5 Prompt.md","filePath":"en/anthropic/Sonnet 4.5 Prompt.md","lastUpdated":1760450691000}'),o={name:"en/anthropic/Sonnet 4.5 Prompt.md"};function i(p,s,l,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[t("",2)])])}const m=n(o,[["render",i]]);export{h as __pageData,m as default};

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import{_ as t,c as o,o as a,ae as n}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"Anthropic","description":"","frontmatter":{},"headers":[],"relativePath":"en/anthropic/index.md","filePath":"en/anthropic/index.md"}'),i={name:"en/anthropic/index.md"};function s(r,e,d,c,l,p){return a(),o("div",null,[...e[0]||(e[0]=[n('<h1 id="anthropic" tabindex="-1">Anthropic <a class="header-anchor" href="#anthropic" aria-label="Permalink to &quot;Anthropic&quot;"></a></h1><ul><li><a href="./Claude Code 2.0.html">Claude Code 2.0</a></li><li><a href="./Sonnet 4.5 Prompt.html">Sonnet 4.5 Prompt</a></li></ul><h2 id="summary-of-product-tool-documents" tabindex="-1">Summary of Product Tool Documents <a class="header-anchor" href="#summary-of-product-tool-documents" aria-label="Permalink to &quot;Summary of Product Tool Documents&quot;"></a></h2><p>This directory contains two core system prompts designed for Claude, the AI assistant developed by Anthropic, corresponding to its specific applications in different products or versions.</p><ul><li><p><strong><code>Claude Code 2.0.md</code></strong>: This file defines the system prompt for an interactive CLI tool named &quot;Claude Code&quot;. The prompt positions Claude as a software engineering task assistant, emphasizing its concise, direct communication style and structured task processing flow. It mandates the use of the <code>TodoWrite</code> tool for task planning and tracking, and running validation steps like lint and typecheck after code changes to ensure code quality. Additionally, it specifies how to answer questions about the product itself by consulting the official documentation via the <code>WebFetch</code> tool.</p></li><li><p><strong><code>Sonnet 4.5 Prompt.md</code></strong>: This file is the system prompt for the general-purpose Claude assistant based on the Sonnet 4.5 model. It defines Claude&#39;s identity as a knowledgeable, empathetic, and intellectually curious conversational partner. The prompt details Claude&#39;s behavioral guidelines, including its knowledge cutoff date, content safety policies, response tone and format, and when to use web search (<code>web_search</code>). Particularly noteworthy is its introduction of the concept of &quot;Artifacts,&quot; guiding Claude on how to encapsulate substantial, high-quality output (such as code, documents, reports) within <code>&lt;artifact&gt;</code> tags, and providing detailed implementation specifications for different types of artifacts (code, Markdown, HTML, React components, etc.).</p></li></ul><p>In summary, through these two prompts, the <code>anthropic</code> directory showcases two forms of the Claude model in different application scenarios: one is a rigorous, process-oriented CLI code assistant (Claude Code), and the other is a powerful, general-purpose conversational assistant (Sonnet 4.5) that focuses on high-quality content generation and user experience.</p>',6)])])}const m=t(i,[["render",s]]);export{h as __pageData,m as default};

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import{_ as t,c as o,o as a,ae as n}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"Anthropic","description":"","frontmatter":{},"headers":[],"relativePath":"en/anthropic/index.md","filePath":"en/anthropic/index.md"}'),i={name:"en/anthropic/index.md"};function s(r,e,d,c,l,p){return a(),o("div",null,[...e[0]||(e[0]=[n("",6)])])}const m=t(i,[["render",s]]);export{h as __pageData,m as default};

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import{_ as t,c as o,o as a,ae as n}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"Anthropic","description":"","frontmatter":{},"headers":[],"relativePath":"en/anthropic/index.md","filePath":"en/anthropic/index.md","lastUpdated":1760450691000}'),i={name:"en/anthropic/index.md"};function s(r,e,d,c,l,p){return a(),o("div",null,[...e[0]||(e[0]=[n('<h1 id="anthropic" tabindex="-1">Anthropic <a class="header-anchor" href="#anthropic" aria-label="Permalink to &quot;Anthropic&quot;"></a></h1><ul><li><a href="./Claude Code 2.0.html">Claude Code 2.0</a></li><li><a href="./Sonnet 4.5 Prompt.html">Sonnet 4.5 Prompt</a></li></ul><h2 id="summary-of-product-tool-documents" tabindex="-1">Summary of Product Tool Documents <a class="header-anchor" href="#summary-of-product-tool-documents" aria-label="Permalink to &quot;Summary of Product Tool Documents&quot;"></a></h2><p>This directory contains two core system prompts designed for Claude, the AI assistant developed by Anthropic, corresponding to its specific applications in different products or versions.</p><ul><li><p><strong><code>Claude Code 2.0.md</code></strong>: This file defines the system prompt for an interactive CLI tool named &quot;Claude Code&quot;. The prompt positions Claude as a software engineering task assistant, emphasizing its concise, direct communication style and structured task processing flow. It mandates the use of the <code>TodoWrite</code> tool for task planning and tracking, and running validation steps like lint and typecheck after code changes to ensure code quality. Additionally, it specifies how to answer questions about the product itself by consulting the official documentation via the <code>WebFetch</code> tool.</p></li><li><p><strong><code>Sonnet 4.5 Prompt.md</code></strong>: This file is the system prompt for the general-purpose Claude assistant based on the Sonnet 4.5 model. It defines Claude&#39;s identity as a knowledgeable, empathetic, and intellectually curious conversational partner. The prompt details Claude&#39;s behavioral guidelines, including its knowledge cutoff date, content safety policies, response tone and format, and when to use web search (<code>web_search</code>). Particularly noteworthy is its introduction of the concept of &quot;Artifacts,&quot; guiding Claude on how to encapsulate substantial, high-quality output (such as code, documents, reports) within <code>&lt;artifact&gt;</code> tags, and providing detailed implementation specifications for different types of artifacts (code, Markdown, HTML, React components, etc.).</p></li></ul><p>In summary, through these two prompts, the <code>anthropic</code> directory showcases two forms of the Claude model in different application scenarios: one is a rigorous, process-oriented CLI code assistant (Claude Code), and the other is a powerful, general-purpose conversational assistant (Sonnet 4.5) that focuses on high-quality content generation and user experience.</p>',6)])])}const m=t(i,[["render",s]]);export{h as __pageData,m as default};

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import{_ as t,c as o,o as a,ae as n}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"Anthropic","description":"","frontmatter":{},"headers":[],"relativePath":"en/anthropic/index.md","filePath":"en/anthropic/index.md","lastUpdated":1760450691000}'),i={name:"en/anthropic/index.md"};function s(r,e,d,c,l,p){return a(),o("div",null,[...e[0]||(e[0]=[n("",6)])])}const m=t(i,[["render",s]]);export{h as __pageData,m as default};

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import{_ as a,c as t,o as s,ae as n}from"./chunks/framework.CBTkueSR.js";const o="/assets/Latitude_logo.UjBOFUCJ.png",u=JSON.parse('{"title":"assets (EN)","description":"","frontmatter":{},"headers":[],"relativePath":"en/assets/index.md","filePath":"en/assets/index.md"}'),r={name:"en/assets/index.md"};function i(_,e,l,d,c,p){return s(),t("div",null,[...e[0]||(e[0]=[n('<h1 id="assets-en" tabindex="-1">assets (EN) <a class="header-anchor" href="#assets-en" aria-label="Permalink to &quot;assets (EN)&quot;"></a></h1><h2 id="内容列表" tabindex="-1">内容列表 <a class="header-anchor" href="#内容列表" aria-label="Permalink to &quot;内容列表&quot;"></a></h2><ul><li>🖼️ <img src="'+o+'" alt="Latitude_logo.png"></li></ul><p><em>完整还原。</em></p>',4)])])}const h=a(r,[["render",i]]);export{u as __pageData,h as default};

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import{_ as a,c as t,o as s,ae as n}from"./chunks/framework.CBTkueSR.js";const o="/assets/Latitude_logo.UjBOFUCJ.png",u=JSON.parse('{"title":"assets (EN)","description":"","frontmatter":{},"headers":[],"relativePath":"en/assets/index.md","filePath":"en/assets/index.md","lastUpdated":1760450691000}'),r={name:"en/assets/index.md"};function i(d,e,l,_,c,p){return s(),t("div",null,[...e[0]||(e[0]=[n("",4)])])}const h=a(r,[["render",i]]);export{u as __pageData,h as default};
import{_ as a,c as t,o as s,ae as n}from"./chunks/framework.CBTkueSR.js";const o="/assets/Latitude_logo.UjBOFUCJ.png",u=JSON.parse('{"title":"assets (EN)","description":"","frontmatter":{},"headers":[],"relativePath":"en/assets/index.md","filePath":"en/assets/index.md"}'),r={name:"en/assets/index.md"};function i(_,e,l,d,c,p){return s(),t("div",null,[...e[0]||(e[0]=[n("",4)])])}const h=a(r,[["render",i]]);export{u as __pageData,h as default};

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import{_ as a,c as t,o as s,ae as n}from"./chunks/framework.CBTkueSR.js";const o="/assets/Latitude_logo.UjBOFUCJ.png",u=JSON.parse('{"title":"assets (EN)","description":"","frontmatter":{},"headers":[],"relativePath":"en/assets/index.md","filePath":"en/assets/index.md","lastUpdated":1760450691000}'),r={name:"en/assets/index.md"};function i(d,e,l,_,c,p){return s(),t("div",null,[...e[0]||(e[0]=[n('<h1 id="assets-en" tabindex="-1">assets (EN) <a class="header-anchor" href="#assets-en" aria-label="Permalink to &quot;assets (EN)&quot;"></a></h1><h2 id="内容列表" tabindex="-1">内容列表 <a class="header-anchor" href="#内容列表" aria-label="Permalink to &quot;内容列表&quot;"></a></h2><ul><li>🖼️ <img src="'+o+'" alt="Latitude_logo.png"></li></ul><p><em>完整还原。</em></p>',4)])])}const h=a(r,[["render",i]]);export{u as __pageData,h as default};

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import{_ as s,c as n,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"Recovering from difficulties","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/claude-4-sonnet-agent-prompts.md","filePath":"en/augment-code/claude-4-sonnet-agent-prompts.md","lastUpdated":1760450691000}'),o={name:"en/augment-code/claude-4-sonnet-agent-prompts.md"};function p(i,a,l,r,c,u){return e(),n("div",null,[...a[0]||(a[0]=[t(`<h2 id="claude-4-sonnet-agent-prompts-txt" tabindex="-1">claude-4-sonnet-agent-prompts.txt <a class="header-anchor" href="#claude-4-sonnet-agent-prompts-txt" aria-label="Permalink to &quot;claude-4-sonnet-agent-prompts.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span># Role</span></span>
import{_ as s,c as n,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"Recovering from difficulties","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/claude-4-sonnet-agent-prompts.md","filePath":"en/augment-code/claude-4-sonnet-agent-prompts.md"}'),o={name:"en/augment-code/claude-4-sonnet-agent-prompts.md"};function p(i,a,l,r,c,u){return e(),n("div",null,[...a[0]||(a[0]=[t(`<h2 id="claude-4-sonnet-agent-prompts-txt" tabindex="-1">claude-4-sonnet-agent-prompts.txt <a class="header-anchor" href="#claude-4-sonnet-agent-prompts-txt" aria-label="Permalink to &quot;claude-4-sonnet-agent-prompts.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span># Role</span></span>
<span class="line"><span>You are Augment Agent developed by Augment Code, an agentic coding AI assistant with access to the developer&#39;s codebase through Augment&#39;s world-leading context engine and integrations.</span></span>
<span class="line"><span>You can read from and write to the codebase using the provided tools.</span></span>
<span class="line"><span>The current date is 1848-15-03.</span></span>

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import{_ as s,c as n,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"Recovering from difficulties","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/claude-4-sonnet-agent-prompts.md","filePath":"en/augment-code/claude-4-sonnet-agent-prompts.md","lastUpdated":1760450691000}'),o={name:"en/augment-code/claude-4-sonnet-agent-prompts.md"};function p(i,a,l,r,c,u){return e(),n("div",null,[...a[0]||(a[0]=[t("",17)])])}const m=s(o,[["render",p]]);export{h as __pageData,m as default};

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import{_ as i,c as a,o as n,ae as t}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/claude-4-sonnet-tools.md","filePath":"en/augment-code/claude-4-sonnet-tools.md","lastUpdated":1760450691000}'),h={name:"en/augment-code/claude-4-sonnet-tools.md"};function l(p,s,k,e,E,r){return n(),a("div",null,[...s[0]||(s[0]=[t(`<h2 id="claude-sonnet-4-tools-document-summary" tabindex="-1">Claude Sonnet 4 Tools Document Summary <a class="header-anchor" href="#claude-sonnet-4-tools-document-summary" aria-label="Permalink to &quot;Claude Sonnet 4 Tools Document Summary&quot;"></a></h2><p>This document contains the collection of tools available for the Claude Sonnet 4 model, which provide the AI assistant with rich code manipulation and system interaction capabilities. The tools cover various aspects from file editing, process management, web browsing to code retrieval, enabling the AI to perform precise programming tasks in complex development environments. Special emphasis is placed on secure file editing mechanisms and integration with version control systems.</p><h2 id="claude-4-sonnet-tools-json" tabindex="-1">claude-4-sonnet-tools.json <a class="header-anchor" href="#claude-4-sonnet-tools-json" aria-label="Permalink to &quot;claude-4-sonnet-tools.json&quot;"></a></h2><div class="language-json vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">json</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">{</span></span>
import{_ as i,c as a,o as n,ae as t}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/claude-4-sonnet-tools.md","filePath":"en/augment-code/claude-4-sonnet-tools.md"}'),h={name:"en/augment-code/claude-4-sonnet-tools.md"};function l(p,s,k,e,E,r){return n(),a("div",null,[...s[0]||(s[0]=[t(`<h2 id="claude-sonnet-4-tools-document-summary" tabindex="-1">Claude Sonnet 4 Tools Document Summary <a class="header-anchor" href="#claude-sonnet-4-tools-document-summary" aria-label="Permalink to &quot;Claude Sonnet 4 Tools Document Summary&quot;"></a></h2><p>This document contains the collection of tools available for the Claude Sonnet 4 model, which provide the AI assistant with rich code manipulation and system interaction capabilities. The tools cover various aspects from file editing, process management, web browsing to code retrieval, enabling the AI to perform precise programming tasks in complex development environments. Special emphasis is placed on secure file editing mechanisms and integration with version control systems.</p><h2 id="claude-4-sonnet-tools-json" tabindex="-1">claude-4-sonnet-tools.json <a class="header-anchor" href="#claude-4-sonnet-tools-json" aria-label="Permalink to &quot;claude-4-sonnet-tools.json&quot;"></a></h2><div class="language-json vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">json</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">{</span></span>
<span class="line"><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> &quot;tools&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: [</span></span>
<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;"> {</span></span>
<span class="line"><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> &quot;name&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">&quot;str-replace-editor&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">,</span></span>

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import{_ as i,c as a,o as n,ae as t}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/claude-4-sonnet-tools.md","filePath":"en/augment-code/claude-4-sonnet-tools.md","lastUpdated":1760450691000}'),h={name:"en/augment-code/claude-4-sonnet-tools.md"};function l(p,s,k,e,E,r){return n(),a("div",null,[...s[0]||(s[0]=[t("",4)])])}const F=i(h,[["render",l]]);export{d as __pageData,F as default};
import{_ as i,c as a,o as n,ae as t}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/claude-4-sonnet-tools.md","filePath":"en/augment-code/claude-4-sonnet-tools.md"}'),h={name:"en/augment-code/claude-4-sonnet-tools.md"};function l(p,s,k,e,E,r){return n(),a("div",null,[...s[0]||(s[0]=[t("",4)])])}const F=i(h,[["render",l]]);export{d as __pageData,F as default};

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import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/gpt-5-agent-prompts.md","filePath":"en/augment-code/gpt-5-agent-prompts.md","lastUpdated":1760450691000}'),t={name:"en/augment-code/gpt-5-agent-prompts.md"};function i(l,s,o,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[p(`<h2 id="gpt-5-agent-prompts-txt" tabindex="-1">gpt-5-agent-prompts.txt <a class="header-anchor" href="#gpt-5-agent-prompts-txt" aria-label="Permalink to &quot;gpt-5-agent-prompts.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span># Role</span></span>
import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/gpt-5-agent-prompts.md","filePath":"en/augment-code/gpt-5-agent-prompts.md"}'),t={name:"en/augment-code/gpt-5-agent-prompts.md"};function i(l,s,o,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[p(`<h2 id="gpt-5-agent-prompts-txt" tabindex="-1">gpt-5-agent-prompts.txt <a class="header-anchor" href="#gpt-5-agent-prompts-txt" aria-label="Permalink to &quot;gpt-5-agent-prompts.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span># Role</span></span>
<span class="line"><span>You are Augment Agent developed by Augment Code, an agentic coding AI assistant with access to the developer&#39;s codebase through Augment&#39;s world-leading context engine and integrations.</span></span>
<span class="line"><span>You can read from and write to the codebase using the provided tools.</span></span>
<span class="line"><span>The current date is 2025-08-18.</span></span>

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import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/gpt-5-agent-prompts.md","filePath":"en/augment-code/gpt-5-agent-prompts.md","lastUpdated":1760450691000}'),t={name:"en/augment-code/gpt-5-agent-prompts.md"};function i(l,s,o,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[p("",2)])])}const g=n(t,[["render",i]]);export{h as __pageData,g as default};
import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/gpt-5-agent-prompts.md","filePath":"en/augment-code/gpt-5-agent-prompts.md"}'),t={name:"en/augment-code/gpt-5-agent-prompts.md"};function i(l,s,o,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[p("",2)])])}const g=n(t,[["render",i]]);export{h as __pageData,g as default};

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import{_ as i,c as a,o as n,ae as t}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/gpt-5-tools.md","filePath":"en/augment-code/gpt-5-tools.md","lastUpdated":1760450691000}'),p={name:"en/augment-code/gpt-5-tools.md"};function h(l,s,k,E,e,r){return n(),a("div",null,[...s[0]||(s[0]=[t("",4)])])}const y=i(p,[["render",h]]);export{d as __pageData,y as default};

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import{_ as i,c as a,o as n,ae as t}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/gpt-5-tools.md","filePath":"en/augment-code/gpt-5-tools.md","lastUpdated":1760450691000}'),p={name:"en/augment-code/gpt-5-tools.md"};function h(l,s,k,E,e,r){return n(),a("div",null,[...s[0]||(s[0]=[t(`<h2 id="gpt-5-tools-document-summary" tabindex="-1">GPT-5 Tools Document Summary <a class="header-anchor" href="#gpt-5-tools-document-summary" aria-label="Permalink to &quot;GPT-5 Tools Document Summary&quot;"></a></h2><p>This document contains the collection of tools available for the GPT-5 model, which provide the AI assistant with the ability to interact with the codebase, file system, process management, and network resources. The tools cover a variety of functions from file viewing, code editing, process control to web search, enabling the AI to perform complex programming tasks in a development environment.</p><h2 id="gpt-5-tools-json" tabindex="-1">gpt-5-tools.json <a class="header-anchor" href="#gpt-5-tools-json" aria-label="Permalink to &quot;gpt-5-tools.json&quot;"></a></h2><div class="language-json vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">json</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">{</span></span>
import{_ as i,c as a,o as n,ae as t}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/gpt-5-tools.md","filePath":"en/augment-code/gpt-5-tools.md"}'),p={name:"en/augment-code/gpt-5-tools.md"};function h(l,s,k,E,e,r){return n(),a("div",null,[...s[0]||(s[0]=[t(`<h2 id="gpt-5-tools-document-summary" tabindex="-1">GPT-5 Tools Document Summary <a class="header-anchor" href="#gpt-5-tools-document-summary" aria-label="Permalink to &quot;GPT-5 Tools Document Summary&quot;"></a></h2><p>This document contains the collection of tools available for the GPT-5 model, which provide the AI assistant with the ability to interact with the codebase, file system, process management, and network resources. The tools cover a variety of functions from file viewing, code editing, process control to web search, enabling the AI to perform complex programming tasks in a development environment.</p><h2 id="gpt-5-tools-json" tabindex="-1">gpt-5-tools.json <a class="header-anchor" href="#gpt-5-tools-json" aria-label="Permalink to &quot;gpt-5-tools.json&quot;"></a></h2><div class="language-json vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">json</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">{</span></span>
<span class="line"><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> &quot;tools&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: [</span></span>
<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;"> {</span></span>
<span class="line"><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> &quot;type&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">&quot;function&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">,</span></span>

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import{_ as i,c as a,o as n,ae as t}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/gpt-5-tools.md","filePath":"en/augment-code/gpt-5-tools.md"}'),p={name:"en/augment-code/gpt-5-tools.md"};function h(l,s,k,E,e,r){return n(),a("div",null,[...s[0]||(s[0]=[t("",4)])])}const y=i(p,[["render",h]]);export{d as __pageData,y as default};

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import{_ as t,c as o,o as n,ae as a}from"./chunks/framework.CBTkueSR.js";const u=JSON.parse('{"title":"Augment Code","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/index.md","filePath":"en/augment-code/index.md"}'),i={name:"en/augment-code/index.md"};function s(d,e,r,l,c,m){return n(),o("div",null,[...e[0]||(e[0]=[a('<h1 id="augment-code" tabindex="-1">Augment Code <a class="header-anchor" href="#augment-code" aria-label="Permalink to &quot;Augment Code&quot;"></a></h1><ul><li><a href="./claude-4-sonnet-agent-prompts.html">claude-4-sonnet-agent-prompts</a></li><li><a href="./claude-4-sonnet-tools.html">claude-4-sonnet-tools</a></li><li><a href="./gpt-5-agent-prompts.html">gpt-5-agent-prompts</a></li><li><a href="./gpt-5-tools.html">gpt-5-tools</a></li></ul><h2 id="summary-of-product-tool-documents" tabindex="-1">Summary of Product Tool Documents <a class="header-anchor" href="#summary-of-product-tool-documents" aria-label="Permalink to &quot;Summary of Product Tool Documents&quot;"></a></h2><p>This directory contains system prompts and tool definitions designed for the AI coding assistant &quot;Augment Agent,&quot; developed by Augment Code. The assistant is designed to access a developer&#39;s codebase through its context engine and integrations. The core of this directory is to provide customized configurations for different underlying large language models.</p><ul><li><p><strong>Claude 4 Sonnet Version</strong>:</p><ul><li><strong><code>claude-4-sonnet-agent-prompts.md</code></strong>: This is the core system prompt for the Claude 4 Sonnet model. It defines the identity of the Augment Agent, the initial task workflow (emphasizing information gathering), planning and task management (using tools like <code>add_tasks</code>, <code>update_tasks</code>), code editing specifications, and package management principles.</li><li><strong><code>claude-4-sonnet-tools.md</code></strong>: Defines in detail the set of available tools under this configuration in JSON format. These tools include a powerful file editing tool <code>str-replace-editor</code>, process management tools (<code>launch-process</code>, <code>kill-process</code>), code retrieval tools (<code>codebase-retrieval</code>, <code>git-commit-retrieval</code>), and task management tools.</li></ul></li><li><p><strong>GPT-5 Version</strong>:</p><ul><li><strong><code>gpt-5-agent-prompts.md</code></strong>: This is the system prompt for the GPT-5 model. Similar to the Claude version, it also defines the agent&#39;s identity and behavior, but provides more specific guidance on information gathering strategies, planning and task management (especially the trigger conditions and usage of the task list), and code editing (<code>str_replace_editor</code>).</li><li><strong><code>gpt-5-tools.md</code></strong>: Defines the toolset under the GPT-5 configuration, whose functionality is basically the same as the Claude version, but there may be slight differences in tool descriptions and parameters to better adapt to the capabilities of the GPT-5 model.</li></ul></li></ul><p>In summary, the <code>augment-code</code> directory demonstrates a flexible AI agent architecture that can be adapted to different models by providing customized prompts and tool definitions for different LLMs, enabling it to consistently perform advanced development tasks such as code understanding, planning, editing, and validation.</p>',6)])])}const p=t(i,[["render",s]]);export{u as __pageData,p as default};

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import{_ as t,c as o,o as n,ae as a}from"./chunks/framework.CBTkueSR.js";const u=JSON.parse('{"title":"Augment Code","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/index.md","filePath":"en/augment-code/index.md"}'),i={name:"en/augment-code/index.md"};function s(d,e,r,l,c,m){return n(),o("div",null,[...e[0]||(e[0]=[a("",6)])])}const p=t(i,[["render",s]]);export{u as __pageData,p as default};

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import{_ as t,c as o,o as n,ae as a}from"./chunks/framework.CBTkueSR.js";const p=JSON.parse('{"title":"Augment Code","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/index.md","filePath":"en/augment-code/index.md","lastUpdated":1760450691000}'),i={name:"en/augment-code/index.md"};function s(d,e,r,l,c,m){return n(),o("div",null,[...e[0]||(e[0]=[a('<h1 id="augment-code" tabindex="-1">Augment Code <a class="header-anchor" href="#augment-code" aria-label="Permalink to &quot;Augment Code&quot;"></a></h1><ul><li><a href="./claude-4-sonnet-agent-prompts.html">claude-4-sonnet-agent-prompts</a></li><li><a href="./claude-4-sonnet-tools.html">claude-4-sonnet-tools</a></li><li><a href="./gpt-5-agent-prompts.html">gpt-5-agent-prompts</a></li><li><a href="./gpt-5-tools.html">gpt-5-tools</a></li></ul><h2 id="summary-of-product-tool-documents" tabindex="-1">Summary of Product Tool Documents <a class="header-anchor" href="#summary-of-product-tool-documents" aria-label="Permalink to &quot;Summary of Product Tool Documents&quot;"></a></h2><p>This directory contains system prompts and tool definitions designed for the AI coding assistant &quot;Augment Agent,&quot; developed by Augment Code. The assistant is designed to access a developer&#39;s codebase through its context engine and integrations. The core of this directory is to provide customized configurations for different underlying large language models.</p><ul><li><p><strong>Claude 4 Sonnet Version</strong>:</p><ul><li><strong><code>claude-4-sonnet-agent-prompts.md</code></strong>: This is the core system prompt for the Claude 4 Sonnet model. It defines the identity of the Augment Agent, the initial task workflow (emphasizing information gathering), planning and task management (using tools like <code>add_tasks</code>, <code>update_tasks</code>), code editing specifications, and package management principles.</li><li><strong><code>claude-4-sonnet-tools.md</code></strong>: Defines in detail the set of available tools under this configuration in JSON format. These tools include a powerful file editing tool <code>str-replace-editor</code>, process management tools (<code>launch-process</code>, <code>kill-process</code>), code retrieval tools (<code>codebase-retrieval</code>, <code>git-commit-retrieval</code>), and task management tools.</li></ul></li><li><p><strong>GPT-5 Version</strong>:</p><ul><li><strong><code>gpt-5-agent-prompts.md</code></strong>: This is the system prompt for the GPT-5 model. Similar to the Claude version, it also defines the agent&#39;s identity and behavior, but provides more specific guidance on information gathering strategies, planning and task management (especially the trigger conditions and usage of the task list), and code editing (<code>str_replace_editor</code>).</li><li><strong><code>gpt-5-tools.md</code></strong>: Defines the toolset under the GPT-5 configuration, whose functionality is basically the same as the Claude version, but there may be slight differences in tool descriptions and parameters to better adapt to the capabilities of the GPT-5 model.</li></ul></li></ul><p>In summary, the <code>augment-code</code> directory demonstrates a flexible AI agent architecture that can be adapted to different models by providing customized prompts and tool definitions for different LLMs, enabling it to consistently perform advanced development tasks such as code understanding, planning, editing, and validation.</p>',6)])])}const u=t(i,[["render",s]]);export{p as __pageData,u as default};

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import{_ as t,c as o,o as n,ae as a}from"./chunks/framework.CBTkueSR.js";const p=JSON.parse('{"title":"Augment Code","description":"","frontmatter":{},"headers":[],"relativePath":"en/augment-code/index.md","filePath":"en/augment-code/index.md","lastUpdated":1760450691000}'),i={name:"en/augment-code/index.md"};function s(d,e,r,l,c,m){return n(),o("div",null,[...e[0]||(e[0]=[a("",6)])])}const u=t(i,[["render",s]]);export{p as __pageData,u as default};

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import{_ as n,c as a,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/claude-code/claude-code-system-prompt.md","filePath":"en/claude-code/claude-code-system-prompt.md","lastUpdated":1760450691000}'),p={name:"en/claude-code/claude-code-system-prompt.md"};function i(o,s,l,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[t(`<h2 id="claude-code-system-prompt-txt" tabindex="-1">claude-code-system-prompt.txt <a class="header-anchor" href="#claude-code-system-prompt-txt" aria-label="Permalink to &quot;claude-code-system-prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>You are an interactive CLI tool that helps users with software engineering tasks. Use the instructions below and the tools available to you to assist the user.</span></span>
import{_ as n,c as a,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/claude-code/claude-code-system-prompt.md","filePath":"en/claude-code/claude-code-system-prompt.md"}'),p={name:"en/claude-code/claude-code-system-prompt.md"};function i(o,s,l,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[t(`<h2 id="claude-code-system-prompt-txt" tabindex="-1">claude-code-system-prompt.txt <a class="header-anchor" href="#claude-code-system-prompt-txt" aria-label="Permalink to &quot;claude-code-system-prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>You are an interactive CLI tool that helps users with software engineering tasks. Use the instructions below and the tools available to you to assist the user.</span></span>
<span class="line"><span></span></span>
<span class="line"><span>IMPORTANT: Assist with defensive security tasks only. Refuse to create, modify, or improve code that may be used maliciously. Allow security analysis, detection rules, vulnerability explanations, defensive tools, and security documentation.</span></span>
<span class="line"><span>IMPORTANT: You must NEVER generate or guess URLs for the user unless you are confident that the URLs are for helping the user with programming. You may use URLs provided by the user in their messages or local files.</span></span>

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import{_ as n,c as a,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/claude-code/claude-code-system-prompt.md","filePath":"en/claude-code/claude-code-system-prompt.md","lastUpdated":1760450691000}'),p={name:"en/claude-code/claude-code-system-prompt.md"};function i(o,s,l,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[t("",2)])])}const m=n(p,[["render",i]]);export{h as __pageData,m as default};
import{_ as n,c as a,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/claude-code/claude-code-system-prompt.md","filePath":"en/claude-code/claude-code-system-prompt.md"}'),p={name:"en/claude-code/claude-code-system-prompt.md"};function i(o,s,l,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[t("",2)])])}const m=n(p,[["render",i]]);export{h as __pageData,m as default};

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import{_ as i,c as a,o as t,ae as n}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/claude-code/claude-code-tools.md","filePath":"en/claude-code/claude-code-tools.md","lastUpdated":1760450691000}'),h={name:"en/claude-code/claude-code-tools.md"};function l(e,s,k,p,r,F){return t(),a("div",null,[...s[0]||(s[0]=[n(`<h2 id="claude-code-tool-definitions" tabindex="-1">Claude Code Tool Definitions <a class="header-anchor" href="#claude-code-tool-definitions" aria-label="Permalink to &quot;Claude Code Tool Definitions&quot;"></a></h2><p>This document defines the following tools:</p><ul><li><code>Task</code>: Launch a new agent to autonomously handle complex multi-step tasks</li><li><code>Bash</code>: Execute a given bash command</li><li><code>Glob</code>: Fast file pattern matching tool</li><li><code>Grep</code>: Powerful search tool based on ripgrep</li><li><code>LS</code>: List files and directories in a given path</li><li><code>ExitPlanMode</code>: Use at the end of plan mode</li><li><code>Read</code>: Read a file from the local filesystem</li><li><code>Edit</code>: Perform exact string replacements in a file</li><li><code>MultiEdit</code>: Make multiple edits to a single file at once</li><li><code>Write</code>: Write a file to the local filesystem</li><li><code>NotebookEdit</code>: Replace the contents of a specific cell in a Jupyter notebook</li><li><code>WebFetch</code>: Fetch content from a specified URL</li><li><code>TodoWrite</code>: Create and manage a structured task list</li><li><code>WebSearch</code>: Allow Claude to search the web</li><li><code>BashOutput</code>: Retrieve output from a background bash shell</li><li><code>KillBash</code>: Kill a running background bash shell</li></ul><h2 id="claude-code-tools-json" tabindex="-1">claude-code-tools.json <a class="header-anchor" href="#claude-code-tools-json" aria-label="Permalink to &quot;claude-code-tools.json&quot;"></a></h2><div class="language-json vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">json</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">{</span></span>
import{_ as i,c as a,o as t,ae as n}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/claude-code/claude-code-tools.md","filePath":"en/claude-code/claude-code-tools.md"}'),h={name:"en/claude-code/claude-code-tools.md"};function l(e,s,k,p,r,F){return t(),a("div",null,[...s[0]||(s[0]=[n(`<h2 id="claude-code-tool-definitions" tabindex="-1">Claude Code Tool Definitions <a class="header-anchor" href="#claude-code-tool-definitions" aria-label="Permalink to &quot;Claude Code Tool Definitions&quot;"></a></h2><p>This document defines the following tools:</p><ul><li><code>Task</code>: Launch a new agent to autonomously handle complex multi-step tasks</li><li><code>Bash</code>: Execute a given bash command</li><li><code>Glob</code>: Fast file pattern matching tool</li><li><code>Grep</code>: Powerful search tool based on ripgrep</li><li><code>LS</code>: List files and directories in a given path</li><li><code>ExitPlanMode</code>: Use at the end of plan mode</li><li><code>Read</code>: Read a file from the local filesystem</li><li><code>Edit</code>: Perform exact string replacements in a file</li><li><code>MultiEdit</code>: Make multiple edits to a single file at once</li><li><code>Write</code>: Write a file to the local filesystem</li><li><code>NotebookEdit</code>: Replace the contents of a specific cell in a Jupyter notebook</li><li><code>WebFetch</code>: Fetch content from a specified URL</li><li><code>TodoWrite</code>: Create and manage a structured task list</li><li><code>WebSearch</code>: Allow Claude to search the web</li><li><code>BashOutput</code>: Retrieve output from a background bash shell</li><li><code>KillBash</code>: Kill a running background bash shell</li></ul><h2 id="claude-code-tools-json" tabindex="-1">claude-code-tools.json <a class="header-anchor" href="#claude-code-tools-json" aria-label="Permalink to &quot;claude-code-tools.json&quot;"></a></h2><div class="language-json vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">json</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">{</span></span>
<span class="line"><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> &quot;tools&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: [</span></span>
<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;"> {</span></span>
<span class="line"><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> &quot;name&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">&quot;Task&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">,</span></span>

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import{_ as i,c as a,o as t,ae as n}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/claude-code/claude-code-tools.md","filePath":"en/claude-code/claude-code-tools.md"}'),h={name:"en/claude-code/claude-code-tools.md"};function l(e,s,k,p,r,F){return t(),a("div",null,[...s[0]||(s[0]=[n("",5)])])}const E=i(h,[["render",l]]);export{d as __pageData,E as default};

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import{_ as i,c as a,o as t,ae as n}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/claude-code/claude-code-tools.md","filePath":"en/claude-code/claude-code-tools.md","lastUpdated":1760450691000}'),h={name:"en/claude-code/claude-code-tools.md"};function l(e,s,k,p,r,F){return t(),a("div",null,[...s[0]||(s[0]=[n("",5)])])}const E=i(h,[["render",l]]);export{d as __pageData,E as default};

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import{_ as o,c as t,o as a,ae as d}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"Claude Code","description":"","frontmatter":{},"headers":[],"relativePath":"en/claude-code/index.md","filePath":"en/claude-code/index.md","lastUpdated":1760450691000}'),s={name:"en/claude-code/index.md"};function c(i,e,n,r,l,u){return a(),t("div",null,[...e[0]||(e[0]=[d('<h1 id="claude-code" tabindex="-1">Claude Code <a class="header-anchor" href="#claude-code" aria-label="Permalink to &quot;Claude Code&quot;"></a></h1><ul><li><a href="./claude-code-system-prompt.html">claude-code-system-prompt</a></li><li><a href="./claude-code-tools.html">claude-code-tools</a></li></ul><h2 id="summary-of-product-tool-documents" tabindex="-1">Summary of Product Tool Documents <a class="header-anchor" href="#summary-of-product-tool-documents" aria-label="Permalink to &quot;Summary of Product Tool Documents&quot;"></a></h2><p>This directory contains the core system prompts and toolset definitions designed for the AI programming assistant &quot;Claude Code&quot;. Claude Code is positioned as an interactive command-line interface (CLI) tool designed to help users with various software engineering tasks.</p><ul><li><p><strong><code>claude-code-system-prompt.md</code></strong>: This is the core system prompt for Claude Code, defining its identity, communication style (concise, direct), and code of conduct. The prompt emphasizes understanding the codebase through search tools before executing tasks and using the <code>TodoWrite</code> tool for task planning and tracking. It also stipulates that after making code changes, validation steps such as lint and typecheck must be run to ensure code quality.</p></li><li><p><strong><code>claude-code-tools.md</code></strong>: Defines in detail the set of tools available to Claude Code in JSON format. These tools are comprehensive, covering everything from code exploration (<code>Glob</code>, <code>Grep</code>, <code>LS</code>), file operations (<code>Read</code>, <code>Edit</code>, <code>Write</code>) to task execution and management (<code>Task</code>, <code>Bash</code>, <code>TodoWrite</code>). Particularly noteworthy is the <code>Task</code> tool, which can launch a dedicated sub-agent to handle complex tasks, as well as the <code>WebFetch</code> and <code>WebSearch</code> tools for retrieving information from the web.</p></li></ul><p>In summary, these two files together depict a powerful and rigorously workflow-oriented CLI code assistant. Through a rich toolset and mandatory requirements for task planning and code validation, it aims to systematically and with high quality fulfill users&#39; development requests.</p>',6)])])}const p=o(s,[["render",c]]);export{h as __pageData,p as default};

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import{_ as o,c as t,o as a,ae as d}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"Claude Code","description":"","frontmatter":{},"headers":[],"relativePath":"en/claude-code/index.md","filePath":"en/claude-code/index.md","lastUpdated":1760450691000}'),s={name:"en/claude-code/index.md"};function c(i,e,n,r,l,u){return a(),t("div",null,[...e[0]||(e[0]=[d("",6)])])}const p=o(s,[["render",c]]);export{h as __pageData,p as default};

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import{_ as o,c as t,o as a,ae as d}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"Claude Code","description":"","frontmatter":{},"headers":[],"relativePath":"en/claude-code/index.md","filePath":"en/claude-code/index.md"}'),s={name:"en/claude-code/index.md"};function c(i,e,n,r,l,u){return a(),t("div",null,[...e[0]||(e[0]=[d('<h1 id="claude-code" tabindex="-1">Claude Code <a class="header-anchor" href="#claude-code" aria-label="Permalink to &quot;Claude Code&quot;"></a></h1><ul><li><a href="./claude-code-system-prompt.html">claude-code-system-prompt</a></li><li><a href="./claude-code-tools.html">claude-code-tools</a></li></ul><h2 id="summary-of-product-tool-documents" tabindex="-1">Summary of Product Tool Documents <a class="header-anchor" href="#summary-of-product-tool-documents" aria-label="Permalink to &quot;Summary of Product Tool Documents&quot;"></a></h2><p>This directory contains the core system prompts and toolset definitions designed for the AI programming assistant &quot;Claude Code&quot;. Claude Code is positioned as an interactive command-line interface (CLI) tool designed to help users with various software engineering tasks.</p><ul><li><p><strong><code>claude-code-system-prompt.md</code></strong>: This is the core system prompt for Claude Code, defining its identity, communication style (concise, direct), and code of conduct. The prompt emphasizes understanding the codebase through search tools before executing tasks and using the <code>TodoWrite</code> tool for task planning and tracking. It also stipulates that after making code changes, validation steps such as lint and typecheck must be run to ensure code quality.</p></li><li><p><strong><code>claude-code-tools.md</code></strong>: Defines in detail the set of tools available to Claude Code in JSON format. These tools are comprehensive, covering everything from code exploration (<code>Glob</code>, <code>Grep</code>, <code>LS</code>), file operations (<code>Read</code>, <code>Edit</code>, <code>Write</code>) to task execution and management (<code>Task</code>, <code>Bash</code>, <code>TodoWrite</code>). Particularly noteworthy is the <code>Task</code> tool, which can launch a dedicated sub-agent to handle complex tasks, as well as the <code>WebFetch</code> and <code>WebSearch</code> tools for retrieving information from the web.</p></li></ul><p>In summary, these two files together depict a powerful and rigorously workflow-oriented CLI code assistant. Through a rich toolset and mandatory requirements for task planning and code validation, it aims to systematically and with high quality fulfill users&#39; development requests.</p>',6)])])}const p=o(s,[["render",c]]);export{h as __pageData,p as default};

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import{_ as o,c as t,o as a,ae as d}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"Claude Code","description":"","frontmatter":{},"headers":[],"relativePath":"en/claude-code/index.md","filePath":"en/claude-code/index.md"}'),s={name:"en/claude-code/index.md"};function c(i,e,n,r,l,u){return a(),t("div",null,[...e[0]||(e[0]=[d("",6)])])}const p=o(s,[["render",c]]);export{h as __pageData,p as default};

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import{_ as s,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cluely/Default Prompt.md","filePath":"en/cluely/Default Prompt.md","lastUpdated":1760450691000}'),t={name:"en/cluely/Default Prompt.md"};function l(i,n,o,c,r,u){return e(),a("div",null,[...n[0]||(n[0]=[p(`<h2 id="default-prompt-txt" tabindex="-1">Default Prompt.txt <a class="header-anchor" href="#default-prompt-txt" aria-label="Permalink to &quot;Default Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>&lt;core_identity&gt;</span></span>
import{_ as s,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cluely/Default Prompt.md","filePath":"en/cluely/Default Prompt.md"}'),t={name:"en/cluely/Default Prompt.md"};function l(i,n,o,c,r,u){return e(),a("div",null,[...n[0]||(n[0]=[p(`<h2 id="default-prompt-txt" tabindex="-1">Default Prompt.txt <a class="header-anchor" href="#default-prompt-txt" aria-label="Permalink to &quot;Default Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>&lt;core_identity&gt;</span></span>
<span class="line"><span>You are an assistant called Cluely, developed and created by Cluely, whose sole purpose is to analyze and solve problems asked by the user or shown on the screen. Your responses must be specific, accurate, and actionable.</span></span>
<span class="line"><span>&lt;/core_identity&gt;</span></span>
<span class="line"><span></span></span>

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import{_ as s,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cluely/Default Prompt.md","filePath":"en/cluely/Default Prompt.md","lastUpdated":1760450691000}'),t={name:"en/cluely/Default Prompt.md"};function l(i,n,o,c,r,u){return e(),a("div",null,[...n[0]||(n[0]=[p("",2)])])}const m=s(t,[["render",l]]);export{h as __pageData,m as default};

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import{_ as s,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const g=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cluely/Enterprise Prompt.md","filePath":"en/cluely/Enterprise Prompt.md","lastUpdated":1760450691000}'),t={name:"en/cluely/Enterprise Prompt.md"};function l(i,n,o,r,c,u){return e(),a("div",null,[...n[0]||(n[0]=[p("",2)])])}const m=s(t,[["render",l]]);export{g as __pageData,m as default};

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import{_ as s,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const g=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cluely/Enterprise Prompt.md","filePath":"en/cluely/Enterprise Prompt.md","lastUpdated":1760450691000}'),t={name:"en/cluely/Enterprise Prompt.md"};function l(i,n,o,r,c,u){return e(),a("div",null,[...n[0]||(n[0]=[p(`<h2 id="enterprise-prompt-txt" tabindex="-1">Enterprise Prompt.txt <a class="header-anchor" href="#enterprise-prompt-txt" aria-label="Permalink to &quot;Enterprise Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>&lt;core_identity&gt;</span></span>
import{_ as s,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const g=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cluely/Enterprise Prompt.md","filePath":"en/cluely/Enterprise Prompt.md"}'),t={name:"en/cluely/Enterprise Prompt.md"};function l(i,n,o,r,c,u){return e(),a("div",null,[...n[0]||(n[0]=[p(`<h2 id="enterprise-prompt-txt" tabindex="-1">Enterprise Prompt.txt <a class="header-anchor" href="#enterprise-prompt-txt" aria-label="Permalink to &quot;Enterprise Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>&lt;core_identity&gt;</span></span>
<span class="line"><span>You are Cluely, developed and created by Cluely, and you are the user&#39;s live-meeting co-pilot.</span></span>
<span class="line"><span>&lt;/core_identity&gt;</span></span>
<span class="line"><span></span></span>

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import{_ as s,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const g=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cluely/Enterprise Prompt.md","filePath":"en/cluely/Enterprise Prompt.md"}'),t={name:"en/cluely/Enterprise Prompt.md"};function l(i,n,o,r,c,u){return e(),a("div",null,[...n[0]||(n[0]=[p("",2)])])}const m=s(t,[["render",l]]);export{g as __pageData,m as default};

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import{_ as t,c as o,o as s,ae as a}from"./chunks/framework.CBTkueSR.js";const m=JSON.parse('{"title":"Cluely","description":"","frontmatter":{},"headers":[],"relativePath":"en/cluely/index.md","filePath":"en/cluely/index.md"}'),i={name:"en/cluely/index.md"};function n(r,e,l,c,p,d){return s(),o("div",null,[...e[0]||(e[0]=[a('<h1 id="cluely" tabindex="-1">Cluely <a class="header-anchor" href="#cluely" aria-label="Permalink to &quot;Cluely&quot;"></a></h1><ul><li><a href="./Default Prompt.html">Default Prompt</a></li><li><a href="./Enterprise Prompt.html">Enterprise Prompt</a></li></ul><h2 id="summary-of-product-tool-documents" tabindex="-1">Summary of Product Tool Documents <a class="header-anchor" href="#summary-of-product-tool-documents" aria-label="Permalink to &quot;Summary of Product Tool Documents&quot;"></a></h2><p>This directory contains system prompts designed for the AI assistant &quot;Cluely&quot; for two different application scenarios. Cluely is positioned as an AI assistant capable of analyzing and solving user problems, with its behavior and response format adjusted according to its operating environment (general scenarios or enterprise meetings).</p><ul><li><p><strong><code>Default Prompt.md</code></strong>: This prompt defines Cluely&#39;s code of conduct in general scenarios. It emphasizes specific, accurate, and actionable responses, and provides detailed response formats and structures for different types of questions (technical, mathematical, multiple-choice, email, UI navigation). For example, technical questions require code with line-by-line comments, and math problems require the use of LaTeX and double-checking. The prompt also specifies how to cautiously provide guesses when the user&#39;s intent is unclear.</p></li><li><p><strong><code>Enterprise Prompt.md</code></strong>: This prompt positions Cluely as a &quot;real-time meeting co-pilot,&quot; with the primary goal of assisting users who are in an audio conversation. It establishes a response priority system: first, answer questions directly raised in the conversation; second, define proper nouns that appear at the end of the conversation; then, ask follow-up questions to advance the discussion when the conversation stagnates; and finally, handle objections in scenarios such as sales. The prompt has strict requirements for the response structure (short title, main points, sub-details, detailed explanation) and guides the AI on how to handle imperfect real-time speech transcription.</p></li></ul><p>In summary, the <code>cluely</code> directory, through these two different prompt files, demonstrates how to deeply customize a core AI assistant for different application scenarios, enabling it to serve as both a general Q&amp;A and technical support tool, and a professional co-pilot providing context-aware assistance in real-time meetings.</p>',6)])])}const h=t(i,[["render",n]]);export{m as __pageData,h as default};

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import{_ as t,c as o,o as s,ae as a}from"./chunks/framework.CBTkueSR.js";const m=JSON.parse('{"title":"Cluely","description":"","frontmatter":{},"headers":[],"relativePath":"en/cluely/index.md","filePath":"en/cluely/index.md","lastUpdated":1760450691000}'),i={name:"en/cluely/index.md"};function n(r,e,l,c,p,d){return s(),o("div",null,[...e[0]||(e[0]=[a('<h1 id="cluely" tabindex="-1">Cluely <a class="header-anchor" href="#cluely" aria-label="Permalink to &quot;Cluely&quot;"></a></h1><ul><li><a href="./Default Prompt.html">Default Prompt</a></li><li><a href="./Enterprise Prompt.html">Enterprise Prompt</a></li></ul><h2 id="summary-of-product-tool-documents" tabindex="-1">Summary of Product Tool Documents <a class="header-anchor" href="#summary-of-product-tool-documents" aria-label="Permalink to &quot;Summary of Product Tool Documents&quot;"></a></h2><p>This directory contains system prompts designed for the AI assistant &quot;Cluely&quot; for two different application scenarios. Cluely is positioned as an AI assistant capable of analyzing and solving user problems, with its behavior and response format adjusted according to its operating environment (general scenarios or enterprise meetings).</p><ul><li><p><strong><code>Default Prompt.md</code></strong>: This prompt defines Cluely&#39;s code of conduct in general scenarios. It emphasizes specific, accurate, and actionable responses, and provides detailed response formats and structures for different types of questions (technical, mathematical, multiple-choice, email, UI navigation). For example, technical questions require code with line-by-line comments, and math problems require the use of LaTeX and double-checking. The prompt also specifies how to cautiously provide guesses when the user&#39;s intent is unclear.</p></li><li><p><strong><code>Enterprise Prompt.md</code></strong>: This prompt positions Cluely as a &quot;real-time meeting co-pilot,&quot; with the primary goal of assisting users who are in an audio conversation. It establishes a response priority system: first, answer questions directly raised in the conversation; second, define proper nouns that appear at the end of the conversation; then, ask follow-up questions to advance the discussion when the conversation stagnates; and finally, handle objections in scenarios such as sales. The prompt has strict requirements for the response structure (short title, main points, sub-details, detailed explanation) and guides the AI on how to handle imperfect real-time speech transcription.</p></li></ul><p>In summary, the <code>cluely</code> directory, through these two different prompt files, demonstrates how to deeply customize a core AI assistant for different application scenarios, enabling it to serve as both a general Q&amp;A and technical support tool, and a professional co-pilot providing context-aware assistance in real-time meetings.</p>',6)])])}const h=t(i,[["render",n]]);export{m as __pageData,h as default};

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import{_ as t,c as o,o as s,ae as a}from"./chunks/framework.CBTkueSR.js";const m=JSON.parse('{"title":"Cluely","description":"","frontmatter":{},"headers":[],"relativePath":"en/cluely/index.md","filePath":"en/cluely/index.md","lastUpdated":1760450691000}'),i={name:"en/cluely/index.md"};function n(r,e,l,c,p,d){return s(),o("div",null,[...e[0]||(e[0]=[a("",6)])])}const h=t(i,[["render",n]]);export{m as __pageData,h as default};

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import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const u=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/codebuddy-prompts/Chat Prompt.md","filePath":"en/codebuddy-prompts/Chat Prompt.md","lastUpdated":1760450691000}'),t={name:"en/codebuddy-prompts/Chat Prompt.md"};function l(i,s,o,r,c,d){return e(),a("div",null,[...s[0]||(s[0]=[p(`<h2 id="chat-prompt-txt" tabindex="-1">Chat Prompt.txt <a class="header-anchor" href="#chat-prompt-txt" aria-label="Permalink to &quot;Chat Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>&lt;environment_details&gt;</span></span>
import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const u=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/codebuddy-prompts/Chat Prompt.md","filePath":"en/codebuddy-prompts/Chat Prompt.md"}'),t={name:"en/codebuddy-prompts/Chat Prompt.md"};function l(i,s,o,r,c,d){return e(),a("div",null,[...s[0]||(s[0]=[p(`<h2 id="chat-prompt-txt" tabindex="-1">Chat Prompt.txt <a class="header-anchor" href="#chat-prompt-txt" aria-label="Permalink to &quot;Chat Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>&lt;environment_details&gt;</span></span>
<span class="line"><span># CodeBuddy Visible Files</span></span>
<span class="line"><span>{visible_files}</span></span>
<span class="line"><span></span></span>

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import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const u=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/codebuddy-prompts/Chat Prompt.md","filePath":"en/codebuddy-prompts/Chat Prompt.md"}'),t={name:"en/codebuddy-prompts/Chat Prompt.md"};function l(i,s,o,r,c,d){return e(),a("div",null,[...s[0]||(s[0]=[p("",2)])])}const m=n(t,[["render",l]]);export{u as __pageData,m as default};

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import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const u=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/codebuddy-prompts/Chat Prompt.md","filePath":"en/codebuddy-prompts/Chat Prompt.md","lastUpdated":1760450691000}'),t={name:"en/codebuddy-prompts/Chat Prompt.md"};function l(i,s,o,r,c,d){return e(),a("div",null,[...s[0]||(s[0]=[p("",2)])])}const m=n(t,[["render",l]]);export{u as __pageData,m as default};

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import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/codebuddy-prompts/Craft Prompt.md","filePath":"en/codebuddy-prompts/Craft Prompt.md","lastUpdated":1760450691000}'),t={name:"en/codebuddy-prompts/Craft Prompt.md"};function l(i,s,o,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[p(`<h2 id="craft-prompt-txt" tabindex="-1">Craft Prompt.txt <a class="header-anchor" href="#craft-prompt-txt" aria-label="Permalink to &quot;Craft Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>&lt;chat_mode_respond&gt;</span></span>
import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/codebuddy-prompts/Craft Prompt.md","filePath":"en/codebuddy-prompts/Craft Prompt.md"}'),t={name:"en/codebuddy-prompts/Craft Prompt.md"};function l(i,s,o,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[p(`<h2 id="craft-prompt-txt" tabindex="-1">Craft Prompt.txt <a class="header-anchor" href="#craft-prompt-txt" aria-label="Permalink to &quot;Craft Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>&lt;chat_mode_respond&gt;</span></span>
<span class="line"><span>&lt;response&gt;</span></span>
<span class="line"><span>You are CodeBuddy, a highly skilled software engineer with extensive knowledge in many programming languages, frameworks, design patterns, and best practices.</span></span>
<span class="line"><span></span></span>

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import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/codebuddy-prompts/Craft Prompt.md","filePath":"en/codebuddy-prompts/Craft Prompt.md"}'),t={name:"en/codebuddy-prompts/Craft Prompt.md"};function l(i,s,o,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[p("",2)])])}const m=n(t,[["render",l]]);export{d as __pageData,m as default};

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import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/codebuddy-prompts/Craft Prompt.md","filePath":"en/codebuddy-prompts/Craft Prompt.md","lastUpdated":1760450691000}'),t={name:"en/codebuddy-prompts/Craft Prompt.md"};function l(i,s,o,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[p("",2)])])}const m=n(t,[["render",l]]);export{d as __pageData,m as default};

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import{_ as t,c as o,o as a,ae as s}from"./chunks/framework.CBTkueSR.js";const p=JSON.parse('{"title":"CodeBuddy Prompts","description":"","frontmatter":{},"headers":[],"relativePath":"en/codebuddy-prompts/index.md","filePath":"en/codebuddy-prompts/index.md","lastUpdated":1760450691000}'),d={name:"en/codebuddy-prompts/index.md"};function i(r,e,n,c,m,l){return a(),o("div",null,[...e[0]||(e[0]=[s('<h1 id="codebuddy-prompts" tabindex="-1">CodeBuddy Prompts <a class="header-anchor" href="#codebuddy-prompts" aria-label="Permalink to &quot;CodeBuddy Prompts&quot;"></a></h1><ul><li><a href="./Chat Prompt.html">Chat Prompt</a></li><li><a href="./Craft Prompt.html">Craft Prompt</a></li></ul><h2 id="summary-of-product-tool-documents" tabindex="-1">Summary of Product Tool Documents <a class="header-anchor" href="#summary-of-product-tool-documents" aria-label="Permalink to &quot;Summary of Product Tool Documents&quot;"></a></h2><p>This directory contains system prompts designed for the AI programming assistant &quot;CodeBuddy&quot; for two different operating modes. CodeBuddy is positioned as a highly skilled software engineer designed to help users with coding tasks.</p><ul><li><p><strong><code>Chat Prompt.md</code> (Chat Mode)</strong>: This prompt defines CodeBuddy&#39;s behavior in &quot;Chat Mode&quot;. In this mode, the assistant&#39;s core task is to engage in natural conversation with the user, answer questions, provide explanations, and discuss ideas. It uses the <code>chat_mode_respond</code> tool to communicate directly with the user, with a focus on information gathering and planning with the user, rather than immediate code execution.</p></li><li><p><strong><code>Craft Prompt.md</code> (Craft Mode)</strong>: This prompt defines CodeBuddy&#39;s behavior in &quot;Craft Mode&quot;. In this mode, the assistant takes on the role of an executor, using a rich toolset based on XML-style tags to complete specific development tasks. These tools include file operations (<code>read_file</code>, <code>write_to_file</code>, <code>replace_in_file</code>), command execution (<code>execute_command</code>), codebase search (<code>search_files</code>), and the ability to interact with external MCP servers. This mode emphasizes completing tasks iteratively, step-by-step, and waiting for user confirmation after each operation.</p></li></ul><p>In summary, <code>codebuddy-prompts</code>, through the switching of these two modes (manually triggered by the user), builds a complete development workflow from &quot;planning and discussion&quot; to &quot;hands-on implementation&quot;, enabling users to collaborate efficiently with the AI assistant.</p>',6)])])}const h=t(d,[["render",i]]);export{p as __pageData,h as default};

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import{_ as t,c as o,o as a,ae as s}from"./chunks/framework.CBTkueSR.js";const p=JSON.parse('{"title":"CodeBuddy Prompts","description":"","frontmatter":{},"headers":[],"relativePath":"en/codebuddy-prompts/index.md","filePath":"en/codebuddy-prompts/index.md","lastUpdated":1760450691000}'),d={name:"en/codebuddy-prompts/index.md"};function i(r,e,n,c,m,l){return a(),o("div",null,[...e[0]||(e[0]=[s("",6)])])}const h=t(d,[["render",i]]);export{p as __pageData,h as default};

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import{_ as o,c as t,o as a,ae as s}from"./chunks/framework.CBTkueSR.js";const p=JSON.parse('{"title":"CodeBuddy Prompts","description":"","frontmatter":{},"headers":[],"relativePath":"en/codebuddy-prompts/index.md","filePath":"en/codebuddy-prompts/index.md"}'),d={name:"en/codebuddy-prompts/index.md"};function i(r,e,n,c,m,l){return a(),t("div",null,[...e[0]||(e[0]=[s('<h1 id="codebuddy-prompts" tabindex="-1">CodeBuddy Prompts <a class="header-anchor" href="#codebuddy-prompts" aria-label="Permalink to &quot;CodeBuddy Prompts&quot;"></a></h1><ul><li><a href="./Chat Prompt.html">Chat Prompt</a></li><li><a href="./Craft Prompt.html">Craft Prompt</a></li></ul><h2 id="summary-of-product-tool-documents" tabindex="-1">Summary of Product Tool Documents <a class="header-anchor" href="#summary-of-product-tool-documents" aria-label="Permalink to &quot;Summary of Product Tool Documents&quot;"></a></h2><p>This directory contains system prompts designed for the AI programming assistant &quot;CodeBuddy&quot; for two different operating modes. CodeBuddy is positioned as a highly skilled software engineer designed to help users with coding tasks.</p><ul><li><p><strong><code>Chat Prompt.md</code> (Chat Mode)</strong>: This prompt defines CodeBuddy&#39;s behavior in &quot;Chat Mode&quot;. In this mode, the assistant&#39;s core task is to engage in natural conversation with the user, answer questions, provide explanations, and discuss ideas. It uses the <code>chat_mode_respond</code> tool to communicate directly with the user, with a focus on information gathering and planning with the user, rather than immediate code execution.</p></li><li><p><strong><code>Craft Prompt.md</code> (Craft Mode)</strong>: This prompt defines CodeBuddy&#39;s behavior in &quot;Craft Mode&quot;. In this mode, the assistant takes on the role of an executor, using a rich toolset based on XML-style tags to complete specific development tasks. These tools include file operations (<code>read_file</code>, <code>write_to_file</code>, <code>replace_in_file</code>), command execution (<code>execute_command</code>), codebase search (<code>search_files</code>), and the ability to interact with external MCP servers. This mode emphasizes completing tasks iteratively, step-by-step, and waiting for user confirmation after each operation.</p></li></ul><p>In summary, <code>codebuddy-prompts</code>, through the switching of these two modes (manually triggered by the user), builds a complete development workflow from &quot;planning and discussion&quot; to &quot;hands-on implementation&quot;, enabling users to collaborate efficiently with the AI assistant.</p>',6)])])}const h=o(d,[["render",i]]);export{p as __pageData,h as default};

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import{_ as o,c as t,o as a,ae as s}from"./chunks/framework.CBTkueSR.js";const p=JSON.parse('{"title":"CodeBuddy Prompts","description":"","frontmatter":{},"headers":[],"relativePath":"en/codebuddy-prompts/index.md","filePath":"en/codebuddy-prompts/index.md"}'),d={name:"en/codebuddy-prompts/index.md"};function i(r,e,n,c,m,l){return a(),t("div",null,[...e[0]||(e[0]=[s("",6)])])}const h=o(d,[["render",i]]);export{p as __pageData,h as default};

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import{_ as s,c as a,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/comet-assistant/System Prompt.md","filePath":"en/comet-assistant/System Prompt.md","lastUpdated":1760450691000}'),p={name:"en/comet-assistant/System Prompt.md"};function i(l,n,o,c,r,u){return e(),a("div",null,[...n[0]||(n[0]=[t("",2)])])}const m=s(p,[["render",i]]);export{h as __pageData,m as default};

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import{_ as s,c as a,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/comet-assistant/System Prompt.md","filePath":"en/comet-assistant/System Prompt.md","lastUpdated":1760450691000}'),p={name:"en/comet-assistant/System Prompt.md"};function i(l,n,o,c,r,u){return e(),a("div",null,[...n[0]||(n[0]=[t(`<h2 id="system-prompt-txt" tabindex="-1">System Prompt.txt <a class="header-anchor" href="#system-prompt-txt" aria-label="Permalink to &quot;System Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>You are Comet Assistant, an autonomous web navigation agent created by Perplexity. You operate within the Perplexity Comet web browser. Your goal is to fully complete the user&#39;s web-based request through persistent, strategic execution of function calls.</span></span>
import{_ as s,c as a,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/comet-assistant/System Prompt.md","filePath":"en/comet-assistant/System Prompt.md"}'),p={name:"en/comet-assistant/System Prompt.md"};function i(l,n,o,c,r,u){return e(),a("div",null,[...n[0]||(n[0]=[t(`<h2 id="system-prompt-txt" tabindex="-1">System Prompt.txt <a class="header-anchor" href="#system-prompt-txt" aria-label="Permalink to &quot;System Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>You are Comet Assistant, an autonomous web navigation agent created by Perplexity. You operate within the Perplexity Comet web browser. Your goal is to fully complete the user&#39;s web-based request through persistent, strategic execution of function calls.</span></span>
<span class="line"><span></span></span>
<span class="line"><span>## I. Core Identity and Behavior</span></span>
<span class="line"><span></span></span>

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import{_ as s,c as a,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/comet-assistant/System Prompt.md","filePath":"en/comet-assistant/System Prompt.md"}'),p={name:"en/comet-assistant/System Prompt.md"};function i(l,n,o,c,r,u){return e(),a("div",null,[...n[0]||(n[0]=[t("",2)])])}const m=s(p,[["render",i]]);export{h as __pageData,m as default};

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import{_ as e,c as o,o as a,ae as s}from"./chunks/framework.CBTkueSR.js";const p=JSON.parse('{"title":"Comet Assistant","description":"","frontmatter":{},"headers":[],"relativePath":"en/comet-assistant/index.md","filePath":"en/comet-assistant/index.md","lastUpdated":1760450691000}'),n={name:"en/comet-assistant/index.md"};function i(r,t,c,d,u,m){return a(),o("div",null,[...t[0]||(t[0]=[s('<h1 id="comet-assistant" tabindex="-1">Comet Assistant <a class="header-anchor" href="#comet-assistant" aria-label="Permalink to &quot;Comet Assistant&quot;"></a></h1><ul><li><a href="./System Prompt.html">System Prompt</a></li></ul><h2 id="summary-of-product-tool-documents" tabindex="-1">Summary of Product Tool Documents <a class="header-anchor" href="#summary-of-product-tool-documents" aria-label="Permalink to &quot;Summary of Product Tool Documents&quot;"></a></h2><p>The <code>System Prompt.md</code> file in this directory defines the core system prompt for the AI agent named &quot;Comet Assistant&quot;. Created by Perplexity, Comet Assistant is an autonomous web navigation agent that runs in the Perplexity Comet web browser. Its core objective is to complete user&#39;s web-based requests through continuous and strategic execution of function calls. The prompt details the agent&#39;s core identity, code of conduct, output protocol (optional 1-2 sentence status update + required function call), and task termination logic (<code>return_documents</code> function). It also includes specific rules for handling authentication, page element interaction, security, and error handling, and emphasizes that when encountering obstacles, all reasonable strategies should be continuously attempted and never given up easily.</p>',4)])])}const h=e(n,[["render",i]]);export{p as __pageData,h as default};

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import{_ as e,c as o,o as a,ae as s}from"./chunks/framework.CBTkueSR.js";const p=JSON.parse('{"title":"Comet Assistant","description":"","frontmatter":{},"headers":[],"relativePath":"en/comet-assistant/index.md","filePath":"en/comet-assistant/index.md","lastUpdated":1760450691000}'),n={name:"en/comet-assistant/index.md"};function i(r,t,c,d,u,m){return a(),o("div",null,[...t[0]||(t[0]=[s("",4)])])}const h=e(n,[["render",i]]);export{p as __pageData,h as default};

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import{_ as e,c as o,o as a,ae as s}from"./chunks/framework.CBTkueSR.js";const p=JSON.parse('{"title":"Comet Assistant","description":"","frontmatter":{},"headers":[],"relativePath":"en/comet-assistant/index.md","filePath":"en/comet-assistant/index.md"}'),n={name:"en/comet-assistant/index.md"};function i(r,t,c,d,u,m){return a(),o("div",null,[...t[0]||(t[0]=[s('<h1 id="comet-assistant" tabindex="-1">Comet Assistant <a class="header-anchor" href="#comet-assistant" aria-label="Permalink to &quot;Comet Assistant&quot;"></a></h1><ul><li><a href="./System Prompt.html">System Prompt</a></li></ul><h2 id="summary-of-product-tool-documents" tabindex="-1">Summary of Product Tool Documents <a class="header-anchor" href="#summary-of-product-tool-documents" aria-label="Permalink to &quot;Summary of Product Tool Documents&quot;"></a></h2><p>The <code>System Prompt.md</code> file in this directory defines the core system prompt for the AI agent named &quot;Comet Assistant&quot;. Created by Perplexity, Comet Assistant is an autonomous web navigation agent that runs in the Perplexity Comet web browser. Its core objective is to complete user&#39;s web-based requests through continuous and strategic execution of function calls. The prompt details the agent&#39;s core identity, code of conduct, output protocol (optional 1-2 sentence status update + required function call), and task termination logic (<code>return_documents</code> function). It also includes specific rules for handling authentication, page element interaction, security, and error handling, and emphasizes that when encountering obstacles, all reasonable strategies should be continuously attempted and never given up easily.</p>',4)])])}const h=e(n,[["render",i]]);export{p as __pageData,h as default};

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import{_ as e,c as o,o as a,ae as s}from"./chunks/framework.CBTkueSR.js";const p=JSON.parse('{"title":"Comet Assistant","description":"","frontmatter":{},"headers":[],"relativePath":"en/comet-assistant/index.md","filePath":"en/comet-assistant/index.md"}'),n={name:"en/comet-assistant/index.md"};function i(r,t,c,d,u,m){return a(),o("div",null,[...t[0]||(t[0]=[s("",4)])])}const h=e(n,[["render",i]]);export{p as __pageData,h as default};

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import{_ as s,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent CLI Prompt 2025-08-07.md","filePath":"en/cursor-prompts/Agent CLI Prompt 2025-08-07.md","lastUpdated":1760450691000}'),t={name:"en/cursor-prompts/Agent CLI Prompt 2025-08-07.md"};function l(i,n,o,r,c,d){return e(),a("div",null,[...n[0]||(n[0]=[p(`<h2 id="agent-cli-prompt-2025-08-07-txt" tabindex="-1">Agent CLI Prompt 2025-08-07.txt <a class="header-anchor" href="#agent-cli-prompt-2025-08-07-txt" aria-label="Permalink to &quot;Agent CLI Prompt 2025-08-07.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>You are an AI coding assistant, powered by GPT-5.</span></span>
import{_ as s,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent CLI Prompt 2025-08-07.md","filePath":"en/cursor-prompts/Agent CLI Prompt 2025-08-07.md"}'),t={name:"en/cursor-prompts/Agent CLI Prompt 2025-08-07.md"};function l(i,n,o,r,c,d){return e(),a("div",null,[...n[0]||(n[0]=[p(`<h2 id="agent-cli-prompt-2025-08-07-txt" tabindex="-1">Agent CLI Prompt 2025-08-07.txt <a class="header-anchor" href="#agent-cli-prompt-2025-08-07-txt" aria-label="Permalink to &quot;Agent CLI Prompt 2025-08-07.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>You are an AI coding assistant, powered by GPT-5.</span></span>
<span class="line"><span>You are an interactive CLI tool that helps users with software engineering tasks. Use the instructions below and the tools available to you to assist the user.</span></span>
<span class="line"><span></span></span>
<span class="line"><span>You are pair programming with a USER to solve their coding task.</span></span>

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import{_ as s,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent CLI Prompt 2025-08-07.md","filePath":"en/cursor-prompts/Agent CLI Prompt 2025-08-07.md"}'),t={name:"en/cursor-prompts/Agent CLI Prompt 2025-08-07.md"};function l(i,n,o,r,c,d){return e(),a("div",null,[...n[0]||(n[0]=[p("",2)])])}const m=s(t,[["render",l]]);export{h as __pageData,m as default};

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import{_ as s,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent CLI Prompt 2025-08-07.md","filePath":"en/cursor-prompts/Agent CLI Prompt 2025-08-07.md","lastUpdated":1760450691000}'),t={name:"en/cursor-prompts/Agent CLI Prompt 2025-08-07.md"};function l(i,n,o,r,c,d){return e(),a("div",null,[...n[0]||(n[0]=[p("",2)])])}const m=s(t,[["render",l]]);export{h as __pageData,m as default};

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import{_ as s,c as a,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Prompt 2025-09-03.md","filePath":"en/cursor-prompts/Agent Prompt 2025-09-03.md","lastUpdated":1760450691000}'),p={name:"en/cursor-prompts/Agent Prompt 2025-09-03.md"};function o(l,n,i,r,c,d){return e(),a("div",null,[...n[0]||(n[0]=[t(`<h2 id="agent-prompt-2025-09-03-txt" tabindex="-1">Agent Prompt 2025-09-03.txt <a class="header-anchor" href="#agent-prompt-2025-09-03-txt" aria-label="Permalink to &quot;Agent Prompt 2025-09-03.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>You are an AI coding assistant, powered by GPT-5. You operate in Cursor.</span></span>
import{_ as s,c as a,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Prompt 2025-09-03.md","filePath":"en/cursor-prompts/Agent Prompt 2025-09-03.md"}'),p={name:"en/cursor-prompts/Agent Prompt 2025-09-03.md"};function o(l,n,i,r,c,d){return e(),a("div",null,[...n[0]||(n[0]=[t(`<h2 id="agent-prompt-2025-09-03-txt" tabindex="-1">Agent Prompt 2025-09-03.txt <a class="header-anchor" href="#agent-prompt-2025-09-03-txt" aria-label="Permalink to &quot;Agent Prompt 2025-09-03.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>You are an AI coding assistant, powered by GPT-5. You operate in Cursor.</span></span>
<span class="line"><span></span></span>
<span class="line"><span>You are pair programming with a USER to solve their coding task. Each time the USER sends a message, we may automatically attach some information about their current state, such as what files they have open, where their cursor is, recently viewed files, edit history in their session so far, linter errors, and more. This information may or may not be relevant to the coding task, it is up for you to decide.</span></span>
<span class="line"><span></span></span>

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import{_ as s,c as a,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Prompt 2025-09-03.md","filePath":"en/cursor-prompts/Agent Prompt 2025-09-03.md","lastUpdated":1760450691000}'),p={name:"en/cursor-prompts/Agent Prompt 2025-09-03.md"};function o(l,n,i,r,c,d){return e(),a("div",null,[...n[0]||(n[0]=[t("",2)])])}const m=s(p,[["render",o]]);export{h as __pageData,m as default};
import{_ as s,c as a,o as e,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Prompt 2025-09-03.md","filePath":"en/cursor-prompts/Agent Prompt 2025-09-03.md"}'),p={name:"en/cursor-prompts/Agent Prompt 2025-09-03.md"};function o(l,n,i,r,c,d){return e(),a("div",null,[...n[0]||(n[0]=[t("",2)])])}const m=s(p,[["render",o]]);export{h as __pageData,m as default};

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import{_ as a,c as s,o as n,ae as t}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Prompt v1.0.md","filePath":"en/cursor-prompts/Agent Prompt v1.0.md","lastUpdated":1760450691000}'),o={name:"en/cursor-prompts/Agent Prompt v1.0.md"};function l(i,e,r,p,c,u){return n(),s("div",null,[...e[0]||(e[0]=[t(`<h2 id="agent-prompt-v1-0-txt" tabindex="-1">Agent Prompt v1.0.txt <a class="header-anchor" href="#agent-prompt-v1-0-txt" aria-label="Permalink to &quot;Agent Prompt v1.0.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>You are an AI coding assistant, powered by Claude Sonnet 4. You operate in Cursor.</span></span>
import{_ as a,c as s,o as n,ae as t}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Prompt v1.0.md","filePath":"en/cursor-prompts/Agent Prompt v1.0.md"}'),o={name:"en/cursor-prompts/Agent Prompt v1.0.md"};function l(i,e,r,p,c,u){return n(),s("div",null,[...e[0]||(e[0]=[t(`<h2 id="agent-prompt-v1-0-txt" tabindex="-1">Agent Prompt v1.0.txt <a class="header-anchor" href="#agent-prompt-v1-0-txt" aria-label="Permalink to &quot;Agent Prompt v1.0.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>You are an AI coding assistant, powered by Claude Sonnet 4. You operate in Cursor.</span></span>
<span class="line"><span></span></span>
<span class="line"><span>You are pair programming with a USER to solve their coding task. Each time the USER sends a message, we may automatically attach some information about their current state, such as what files they have open, where their cursor is, recently viewed files, edit history in their session so far, linter errors, and more. This information may or may not be relevant to the coding task, it is up for you to decide.</span></span>
<span class="line"><span></span></span>

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@ -1 +1 @@
import{_ as a,c as s,o as n,ae as t}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Prompt v1.0.md","filePath":"en/cursor-prompts/Agent Prompt v1.0.md","lastUpdated":1760450691000}'),o={name:"en/cursor-prompts/Agent Prompt v1.0.md"};function l(i,e,r,p,c,u){return n(),s("div",null,[...e[0]||(e[0]=[t("",2)])])}const m=a(o,[["render",l]]);export{d as __pageData,m as default};
import{_ as a,c as s,o as n,ae as t}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Prompt v1.0.md","filePath":"en/cursor-prompts/Agent Prompt v1.0.md"}'),o={name:"en/cursor-prompts/Agent Prompt v1.0.md"};function l(i,e,r,p,c,u){return n(),s("div",null,[...e[0]||(e[0]=[t("",2)])])}const m=a(o,[["render",l]]);export{d as __pageData,m as default};

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import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Prompt v1.2.md","filePath":"en/cursor-prompts/Agent Prompt v1.2.md","lastUpdated":1760450691000}'),t={name:"en/cursor-prompts/Agent Prompt v1.2.md"};function l(i,s,o,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[p(`<h2 id="agent-prompt-v1-2-txt" tabindex="-1">Agent Prompt v1.2.txt <a class="header-anchor" href="#agent-prompt-v1-2-txt" aria-label="Permalink to &quot;Agent Prompt v1.2.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>Knowledge cutoff: 2024-06</span></span>
import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Prompt v1.2.md","filePath":"en/cursor-prompts/Agent Prompt v1.2.md"}'),t={name:"en/cursor-prompts/Agent Prompt v1.2.md"};function l(i,s,o,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[p(`<h2 id="agent-prompt-v1-2-txt" tabindex="-1">Agent Prompt v1.2.txt <a class="header-anchor" href="#agent-prompt-v1-2-txt" aria-label="Permalink to &quot;Agent Prompt v1.2.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>Knowledge cutoff: 2024-06</span></span>
<span class="line"><span></span></span>
<span class="line"><span>You are an AI coding assistant, powered by GPT-4.1. You operate in Cursor. </span></span>
<span class="line"><span></span></span>

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import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Prompt v1.2.md","filePath":"en/cursor-prompts/Agent Prompt v1.2.md","lastUpdated":1760450691000}'),t={name:"en/cursor-prompts/Agent Prompt v1.2.md"};function l(i,s,o,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[p("",2)])])}const m=n(t,[["render",l]]);export{d as __pageData,m as default};
import{_ as n,c as a,o as e,ae as p}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Prompt v1.2.md","filePath":"en/cursor-prompts/Agent Prompt v1.2.md"}'),t={name:"en/cursor-prompts/Agent Prompt v1.2.md"};function l(i,s,o,r,c,u){return e(),a("div",null,[...s[0]||(s[0]=[p("",2)])])}const m=n(t,[["render",l]]);export{d as __pageData,m as default};

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@ -1 +0,0 @@
import{_ as e,c as o,o as n,ae as s}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Prompt.md","filePath":"en/cursor-prompts/Agent Prompt.md","lastUpdated":1760450691000}'),a={name:"en/cursor-prompts/Agent Prompt.md"};function i(u,t,r,l,p,c){return n(),o("div",null,[...t[0]||(t[0]=[s("",2)])])}const d=e(a,[["render",i]]);export{h as __pageData,d as default};

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import{_ as e,c as o,o as n,ae as s}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Prompt.md","filePath":"en/cursor-prompts/Agent Prompt.md","lastUpdated":1760450691000}'),a={name:"en/cursor-prompts/Agent Prompt.md"};function i(u,t,r,l,p,c){return n(),o("div",null,[...t[0]||(t[0]=[s(`<h2 id="agent-prompt-txt" tabindex="-1">Agent Prompt.txt <a class="header-anchor" href="#agent-prompt-txt" aria-label="Permalink to &quot;Agent Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>You are a powerful agentic AI coding assistant, powered by Claude 3.7 Sonnet. You operate exclusively in Cursor, the world&#39;s best IDE. </span></span>
import{_ as t,c as o,o as n,ae as s}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Prompt.md","filePath":"en/cursor-prompts/Agent Prompt.md"}'),a={name:"en/cursor-prompts/Agent Prompt.md"};function i(u,e,r,l,p,c){return n(),o("div",null,[...e[0]||(e[0]=[s(`<h2 id="agent-prompt-txt" tabindex="-1">Agent Prompt.txt <a class="header-anchor" href="#agent-prompt-txt" aria-label="Permalink to &quot;Agent Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>You are a powerful agentic AI coding assistant, powered by Claude 3.7 Sonnet. You operate exclusively in Cursor, the world&#39;s best IDE. </span></span>
<span class="line"><span></span></span>
<span class="line"><span>You are pair programming with a USER to solve their coding task.</span></span>
<span class="line"><span>The task may require creating a new codebase, modifying or debugging an existing codebase, or simply answering a question.</span></span>
@ -59,4 +59,4 @@ import{_ as e,c as o,o as n,ae as s}from"./chunks/framework.CBTkueSR.js";const h
<span class="line"><span>The user&#39;s OS version is win32 10.0.26100. The absolute path of the user&#39;s workspace is /c%3A/Users/Lucas/Downloads/luckniteshoots. The user&#39;s shell is C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe. </span></span>
<span class="line"><span>&lt;/user_info&gt;</span></span>
<span class="line"><span></span></span>
<span class="line"><span>Answer the user&#39;s request using the relevant tool(s), if they are available. Check that all the required parameters for each tool call are provided or can reasonably be inferred from context. IF there are no relevant tools or there are missing values for required parameters, ask the user to supply these values; otherwise proceed with the tool calls. If the user provides a specific value for a parameter (for example provided in quotes), make sure to use that value EXACTLY. DO NOT make up values for or ask about optional parameters. Carefully analyze descriptive terms in the request as they may indicate required parameter values that should be included even if not explicitly quoted.</span></span></code></pre></div>`,2)])])}const d=e(a,[["render",i]]);export{h as __pageData,d as default};
<span class="line"><span>Answer the user&#39;s request using the relevant tool(s), if they are available. Check that all the required parameters for each tool call are provided or can reasonably be inferred from context. IF there are no relevant tools or there are missing values for required parameters, ask the user to supply these values; otherwise proceed with the tool calls. If the user provides a specific value for a parameter (for example provided in quotes), make sure to use that value EXACTLY. DO NOT make up values for or ask about optional parameters. Carefully analyze descriptive terms in the request as they may indicate required parameter values that should be included even if not explicitly quoted.</span></span></code></pre></div>`,2)])])}const d=t(a,[["render",i]]);export{h as __pageData,d as default};

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import{_ as t,c as o,o as n,ae as s}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Prompt.md","filePath":"en/cursor-prompts/Agent Prompt.md"}'),a={name:"en/cursor-prompts/Agent Prompt.md"};function i(u,e,r,l,p,c){return n(),o("div",null,[...e[0]||(e[0]=[s("",2)])])}const d=t(a,[["render",i]]);export{h as __pageData,d as default};

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import{_ as i,c as a,o as n,ae as t}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Tools v1.0.md","filePath":"en/cursor-prompts/Agent Tools v1.0.md","lastUpdated":1760450691000}'),h={name:"en/cursor-prompts/Agent Tools v1.0.md"};function e(l,s,p,k,E,r){return n(),a("div",null,[...s[0]||(s[0]=[t(`<h2 id="agent-tools-v1-0" tabindex="-1">Agent Tools v1.0 <a class="header-anchor" href="#agent-tools-v1-0" aria-label="Permalink to &quot;Agent Tools v1.0&quot;"></a></h2><p>This document defines the collection of tools available to the Cursor AI assistant. These tools allow the AI assistant to perform various operations, including codebase search, file reading, terminal command execution, directory listing, text search, file editing, and more.</p><p>The tools are organized by functional category, and each tool has a detailed description and parameter explanation to ensure that the AI assistant can correctly understand and use these tools to complete the user&#39;s programming tasks.</p><h2 id="agent-tools-v1-0-json" tabindex="-1">Agent Tools v1.0.json <a class="header-anchor" href="#agent-tools-v1-0-json" aria-label="Permalink to &quot;Agent Tools v1.0.json&quot;"></a></h2><div class="language-json vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">json</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">[</span></span>
import{_ as i,c as a,o as n,ae as t}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Tools v1.0.md","filePath":"en/cursor-prompts/Agent Tools v1.0.md"}'),h={name:"en/cursor-prompts/Agent Tools v1.0.md"};function e(l,s,p,k,E,r){return n(),a("div",null,[...s[0]||(s[0]=[t(`<h2 id="agent-tools-v1-0" tabindex="-1">Agent Tools v1.0 <a class="header-anchor" href="#agent-tools-v1-0" aria-label="Permalink to &quot;Agent Tools v1.0&quot;"></a></h2><p>This document defines the collection of tools available to the Cursor AI assistant. These tools allow the AI assistant to perform various operations, including codebase search, file reading, terminal command execution, directory listing, text search, file editing, and more.</p><p>The tools are organized by functional category, and each tool has a detailed description and parameter explanation to ensure that the AI assistant can correctly understand and use these tools to complete the user&#39;s programming tasks.</p><h2 id="agent-tools-v1-0-json" tabindex="-1">Agent Tools v1.0.json <a class="header-anchor" href="#agent-tools-v1-0-json" aria-label="Permalink to &quot;Agent Tools v1.0.json&quot;"></a></h2><div class="language-json vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">json</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">[</span></span>
<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;"> {</span></span>
<span class="line"><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> &quot;description&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">&quot;Find snippets of code from the codebase most relevant to the search query.</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">\\n</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">This is a semantic search tool, so the query should ask for something semantically matching what is needed.</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">\\n</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">If it makes sense to only search in particular directories, please specify them in the target_directories field.</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">\\n</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">Unless there is a clear reason to use your own search query, please just reuse the user&#39;s exact query with their wording.</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">\\n</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">Their exact wording/phrasing can often be helpful for the semantic search query. Keeping the same exact question format can also be helpful.&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">,</span></span>
<span class="line"><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> &quot;name&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">&quot;codebase_search&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">,</span></span>

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import{_ as i,c as a,o as n,ae as t}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Tools v1.0.md","filePath":"en/cursor-prompts/Agent Tools v1.0.md","lastUpdated":1760450691000}'),h={name:"en/cursor-prompts/Agent Tools v1.0.md"};function e(l,s,p,k,E,r){return n(),a("div",null,[...s[0]||(s[0]=[t("",5)])])}const F=i(h,[["render",e]]);export{d as __pageData,F as default};
import{_ as i,c as a,o as n,ae as t}from"./chunks/framework.CBTkueSR.js";const d=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Agent Tools v1.0.md","filePath":"en/cursor-prompts/Agent Tools v1.0.md"}'),h={name:"en/cursor-prompts/Agent Tools v1.0.md"};function e(l,s,p,k,E,r){return n(),a("div",null,[...s[0]||(s[0]=[t("",5)])])}const F=i(h,[["render",e]]);export{d as __pageData,F as default};

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import{_ as s,c as t,o as n,ae as a}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Chat Prompt.md","filePath":"en/cursor-prompts/Chat Prompt.md","lastUpdated":1760450691000}'),o={name:"en/cursor-prompts/Chat Prompt.md"};function i(p,e,l,u,r,c){return n(),t("div",null,[...e[0]||(e[0]=[a(`<h2 id="chat-prompt-txt" tabindex="-1">Chat Prompt.txt <a class="header-anchor" href="#chat-prompt-txt" aria-label="Permalink to &quot;Chat Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>You are a an AI coding assistant, powered by GPT-4o. You operate in Cursor</span></span>
import{_ as s,c as t,o as n,ae as a}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Chat Prompt.md","filePath":"en/cursor-prompts/Chat Prompt.md"}'),o={name:"en/cursor-prompts/Chat Prompt.md"};function i(p,e,l,u,r,c){return n(),t("div",null,[...e[0]||(e[0]=[a(`<h2 id="chat-prompt-txt" tabindex="-1">Chat Prompt.txt <a class="header-anchor" href="#chat-prompt-txt" aria-label="Permalink to &quot;Chat Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>You are a an AI coding assistant, powered by GPT-4o. You operate in Cursor</span></span>
<span class="line"><span></span></span>
<span class="line"><span>You are pair programming with a USER to solve their coding task. Each time the USER sends a message, we may automatically attach some information about their current state, such as what files they have open, where their cursor is, recently viewed files, edit history in their session so far, linter errors, and more. This information may or may not be relevant to the coding task, it is up for you to decide.</span></span>
<span class="line"><span></span></span>

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import{_ as s,c as t,o as n,ae as a}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Chat Prompt.md","filePath":"en/cursor-prompts/Chat Prompt.md"}'),o={name:"en/cursor-prompts/Chat Prompt.md"};function i(p,e,l,u,r,c){return n(),t("div",null,[...e[0]||(e[0]=[a("",2)])])}const d=s(o,[["render",i]]);export{h as __pageData,d as default};

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import{_ as s,c as t,o as n,ae as a}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Chat Prompt.md","filePath":"en/cursor-prompts/Chat Prompt.md","lastUpdated":1760450691000}'),o={name:"en/cursor-prompts/Chat Prompt.md"};function i(p,e,l,u,r,c){return n(),t("div",null,[...e[0]||(e[0]=[a("",2)])])}const d=s(o,[["render",i]]);export{h as __pageData,d as default};

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import{_ as n,c as e,o as a,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Memory Prompt.md","filePath":"en/cursor-prompts/Memory Prompt.md","lastUpdated":1760450691000}'),p={name:"en/cursor-prompts/Memory Prompt.md"};function o(i,s,r,l,c,m){return a(),e("div",null,[...s[0]||(s[0]=[t("",2)])])}const u=n(p,[["render",o]]);export{h as __pageData,u as default};

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import{_ as n,c as e,o as a,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Memory Prompt.md","filePath":"en/cursor-prompts/Memory Prompt.md","lastUpdated":1760450691000}'),p={name:"en/cursor-prompts/Memory Prompt.md"};function o(i,s,r,l,c,m){return a(),e("div",null,[...s[0]||(s[0]=[t(`<h2 id="memory-prompt-txt" tabindex="-1">Memory Prompt.txt <a class="header-anchor" href="#memory-prompt-txt" aria-label="Permalink to &quot;Memory Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>You are an AI Assistant who is an extremely knowledgable software engineer, and you are judging whether or not certain memories are worth remembering.</span></span>
import{_ as n,c as e,o as a,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Memory Prompt.md","filePath":"en/cursor-prompts/Memory Prompt.md"}'),p={name:"en/cursor-prompts/Memory Prompt.md"};function o(i,s,r,l,c,m){return a(),e("div",null,[...s[0]||(s[0]=[t(`<h2 id="memory-prompt-txt" tabindex="-1">Memory Prompt.txt <a class="header-anchor" href="#memory-prompt-txt" aria-label="Permalink to &quot;Memory Prompt.txt&quot;"></a></h2><div class="language-text vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">text</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>You are an AI Assistant who is an extremely knowledgable software engineer, and you are judging whether or not certain memories are worth remembering.</span></span>
<span class="line"><span>If a memory is remembered, that means that in future conversations between an AI programmer and a human programmer, the AI programmer will be able use this memory to make a better response.</span></span>
<span class="line"><span></span></span>
<span class="line"><span>Here is the conversation that led to the memory suggestion:</span></span>

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import{_ as n,c as e,o as a,ae as t}from"./chunks/framework.CBTkueSR.js";const h=JSON.parse('{"title":"","description":"","frontmatter":{},"headers":[],"relativePath":"en/cursor-prompts/Memory Prompt.md","filePath":"en/cursor-prompts/Memory Prompt.md"}'),p={name:"en/cursor-prompts/Memory Prompt.md"};function o(i,s,r,l,c,m){return a(),e("div",null,[...s[0]||(s[0]=[t("",2)])])}const u=n(p,[["render",o]]);export{h as __pageData,u as default};

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