mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2025-12-16 13:35:11 +00:00
cb8bb88b4f
This commit represents a comprehensive refactor and enhancement of the entire repository, transforming it from a simple collection to a searchable, analyzable, and well-documented resource. ## Fixed Issues - Fixed broken link for Amp directory (./AMp/ → ./Amp/) - Added missing Emergent and Traycer AI entries to README - Fixed file extension for Traycer AI/plan_mode_prompts.txt - Updated line count statistics for accuracy (30,000+ → 25,000+) ## New Infrastructure - Created scripts/ directory with automation tools - Added .gitignore for generated files and common artifacts - Implemented comprehensive metadata system ## New Scripts - generate_metadata.py: Generate searchable index with tool metadata - validate.py: Automated repository validation and quality checks - search.py: Search and filter tools by multiple criteria - analyze.py: Generate statistics, charts, and comparisons ## Enhanced Documentation - CONTRIBUTING.md: Comprehensive contribution guidelines - CHANGELOG.md: Version history and release notes - README.md: Complete reorganization with categories and search guide - scripts/README.md: Documentation for all automation tools ## Individual Tool READMEs - Anthropic/README.md: Claude models documentation - Cursor Prompts/README.md: Cursor AI system documentation - Open Source prompts/README.md: Open source tools overview ## Improved Organization - Reorganized tools by category (IDE, AI Agent, Code Assistant, etc.) - Added Quick Start section with usage examples - Added Search & Discovery section - Better categorization and navigation ## Features - Searchable metadata index (32 tools, 96 files, 20K+ lines) - Category-based browsing (11 categories) - Company and model filtering - Automated validation checks - Statistics and analysis tools - Comparison table generation ## Statistics - 32 AI tools documented - 96 total files (76 txt, 15 json, 5 md) - 20,045 lines of prompts and configuration - 11 distinct categories - 4 new Python scripts for automation Version: 2.0.0
421 lines
13 KiB
Python
Executable File
421 lines
13 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Generate metadata for all AI tools in the repository.
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Creates an index.json file with comprehensive information about each tool.
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"""
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import os
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import json
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from pathlib import Path
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from datetime import datetime
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# Tool metadata - manually curated information about each tool
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TOOL_INFO = {
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"Amp": {
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"name": "Amp",
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"company": "Unknown",
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"category": "AI Agent",
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"type": "proprietary",
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"description": "AI coding assistant",
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"website": None,
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"models": []
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},
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"Anthropic": {
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"name": "Anthropic",
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"company": "Anthropic",
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"category": "Foundation Model",
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"type": "proprietary",
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"description": "Claude Sonnet 4.5 and Claude Code 2.0 system prompts",
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"website": "https://anthropic.com",
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"models": ["claude-sonnet-4.5", "claude-code-2.0"]
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},
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"Augment Code": {
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"name": "Augment Code",
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"company": "Augment",
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"category": "Code Assistant",
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"type": "proprietary",
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"description": "AI-powered code completion and generation",
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"website": "https://augmentcode.com",
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"models": ["claude-4-sonnet", "gpt-5"]
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},
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"Claude Code": {
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"name": "Claude Code",
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"company": "Anthropic",
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"category": "Code Assistant",
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"type": "proprietary",
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"description": "Claude's official coding interface system prompt and tools",
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"website": "https://claude.ai/code",
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"models": ["claude-sonnet-4.5"]
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},
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"Cluely": {
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"name": "Cluely",
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"company": "Cluely",
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"category": "Code Assistant",
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"type": "proprietary",
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"description": "AI coding assistant with default and enterprise modes",
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"website": None,
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"models": []
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},
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"CodeBuddy Prompts": {
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"name": "CodeBuddy",
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"company": "CodeBuddy",
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"category": "Code Assistant",
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"type": "proprietary",
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"description": "Chat and Craft mode prompts for code generation",
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"website": None,
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"models": []
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},
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"Comet Assistant": {
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"name": "Comet Assistant",
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"company": "Comet",
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"category": "AI Assistant",
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"type": "proprietary",
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"description": "General purpose AI coding assistant",
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"website": None,
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"models": []
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},
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"Cursor Prompts": {
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"name": "Cursor",
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"company": "Cursor",
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"category": "IDE",
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"type": "proprietary",
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"description": "AI-first code editor with multiple agent modes",
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"website": "https://cursor.com",
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"models": ["claude", "gpt-4"]
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},
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"Devin AI": {
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"name": "Devin",
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"company": "Cognition AI",
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"category": "AI Agent",
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"type": "proprietary",
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"description": "Autonomous AI software engineer",
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"website": "https://devin.ai",
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"models": []
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},
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"Emergent": {
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"name": "Emergent",
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"company": "Emergent",
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"category": "AI Agent",
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"type": "proprietary",
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"description": "AI coding agent with tools",
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"website": None,
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"models": []
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},
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"Junie": {
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"name": "Junie",
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"company": "Junie",
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"category": "Code Assistant",
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"type": "proprietary",
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"description": "AI coding assistant",
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"website": None,
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"models": []
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},
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"Kiro": {
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"name": "Kiro",
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"company": "Kiro",
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"category": "Code Assistant",
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"type": "proprietary",
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"description": "Multi-mode AI assistant (Spec, Vibe, Mode Classifier)",
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"website": None,
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"models": []
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},
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"Leap.new": {
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"name": "Leap",
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"company": "Leap",
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"category": "Web Builder",
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"type": "proprietary",
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"description": "AI-powered web application builder",
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"website": "https://leap.new",
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"models": []
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},
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"Lovable": {
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"name": "Lovable",
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"company": "Lovable",
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"category": "Web Builder",
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"type": "proprietary",
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"description": "AI-powered app builder",
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"website": "https://lovable.dev",
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"models": []
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},
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"Manus Agent Tools & Prompt": {
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"name": "Manus",
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"company": "Manus",
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"category": "AI Agent",
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"type": "proprietary",
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"description": "Agent with loop, modules, and tools",
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"website": None,
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"models": []
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},
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"NotionAi": {
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"name": "Notion AI",
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"company": "Notion",
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"category": "Document Assistant",
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"type": "proprietary",
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"description": "AI assistant integrated into Notion",
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"website": "https://notion.so",
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"models": []
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},
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"Open Source prompts": {
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"name": "Open Source AI Tools",
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"company": "Various",
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"category": "Collection",
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"type": "open-source",
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"description": "Collection of open-source AI coding tools",
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"website": None,
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"models": [],
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"subcategories": ["Bolt", "Cline", "Codex CLI", "Gemini CLI", "Lumo", "RooCode"]
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},
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"Orchids.app": {
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"name": "Orchids",
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"company": "Orchids",
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"category": "AI Assistant",
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"type": "proprietary",
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"description": "AI assistant with decision-making capabilities",
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"website": "https://orchids.app",
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"models": []
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},
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"Perplexity": {
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"name": "Perplexity",
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"company": "Perplexity AI",
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"category": "Search Assistant",
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"type": "proprietary",
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"description": "AI-powered search and answer engine",
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"website": "https://perplexity.ai",
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"models": []
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},
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"Poke": {
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"name": "Poke",
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"company": "Poke",
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"category": "AI Agent",
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"type": "proprietary",
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"description": "Multi-part agent system (6 parts + agent)",
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"website": None,
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"models": []
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},
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"Qoder": {
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"name": "Qoder",
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"company": "Qoder",
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"category": "Code Assistant",
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"type": "proprietary",
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"description": "Quest-based code assistant (Design, Action)",
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"website": None,
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"models": []
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},
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"Replit": {
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"name": "Replit Agent",
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"company": "Replit",
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"category": "Cloud IDE",
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"type": "proprietary",
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"description": "AI agent for Replit cloud development environment",
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"website": "https://replit.com",
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"models": []
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},
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"Same.dev": {
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"name": "Same",
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"company": "Same",
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"category": "Code Assistant",
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"type": "proprietary",
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"description": "AI coding assistant",
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"website": "https://same.dev",
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"models": []
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},
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"Trae": {
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"name": "Trae",
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"company": "Trae",
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"category": "AI Agent",
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"type": "proprietary",
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"description": "Builder and chat modes for development",
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"website": None,
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"models": []
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},
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"Traycer AI": {
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"name": "Traycer",
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"company": "Traycer",
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"category": "AI Agent",
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"type": "proprietary",
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"description": "Multi-mode agent (Phase, Plan)",
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"website": None,
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"models": []
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},
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"VSCode Agent": {
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"name": "VSCode Copilot Agent",
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"company": "Microsoft/GitHub",
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"category": "IDE",
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"type": "proprietary",
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"description": "GitHub Copilot agent for VSCode",
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"website": "https://code.visualstudio.com",
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"models": ["gpt-4", "gpt-4.1", "gpt-5", "gpt-5-mini", "claude-sonnet-4", "gemini-2.5-pro"]
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},
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"Warp.dev": {
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"name": "Warp",
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"company": "Warp",
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"category": "Terminal",
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"type": "proprietary",
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"description": "AI-powered terminal",
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"website": "https://warp.dev",
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"models": []
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},
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"Windsurf": {
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"name": "Windsurf",
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"company": "Codeium",
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"category": "IDE",
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"type": "proprietary",
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"description": "AI-powered code editor (Wave 11)",
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"website": "https://codeium.com/windsurf",
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"models": []
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},
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"Xcode": {
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"name": "Xcode AI",
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"company": "Apple",
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"category": "IDE",
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"type": "proprietary",
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"description": "AI features in Xcode (Document, Explain, Message, Playground, Preview)",
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"website": "https://developer.apple.com/xcode/",
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"models": []
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},
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"Z.ai Code": {
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"name": "Z.ai Code",
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"company": "Z.ai",
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"category": "Code Assistant",
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"type": "proprietary",
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"description": "AI coding assistant",
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"website": None,
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"models": []
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},
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"dia": {
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"name": "Dia",
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"company": "Dia",
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"category": "Code Assistant",
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"type": "proprietary",
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"description": "AI coding assistant",
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"website": None,
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"models": []
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},
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"v0 Prompts and Tools": {
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"name": "v0",
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"company": "Vercel",
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"category": "Web Builder",
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"type": "proprietary",
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"description": "AI-powered UI generation tool",
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"website": "https://v0.dev",
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"models": []
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}
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}
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def get_file_info(filepath):
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"""Get metadata about a file."""
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stat = os.stat(filepath)
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return {
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"name": os.path.basename(filepath),
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"path": filepath,
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"size": stat.st_size,
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"type": os.path.splitext(filepath)[1],
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"modified": datetime.fromtimestamp(stat.st_mtime).isoformat()
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}
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def analyze_directory(dir_path):
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"""Analyze a directory and gather metadata."""
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files = []
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total_lines = 0
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for root, dirs, filenames in os.walk(dir_path):
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for filename in filenames:
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if filename.endswith(('.txt', '.json', '.md')):
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filepath = os.path.join(root, filename)
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file_info = get_file_info(filepath)
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# Count lines for text files
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if file_info['type'] in ['.txt', '.md']:
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try:
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with open(filepath, 'r', encoding='utf-8', errors='ignore') as f:
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lines = len(f.readlines())
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file_info['lines'] = lines
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total_lines += lines
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except Exception:
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file_info['lines'] = 0
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files.append(file_info)
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return files, total_lines
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def generate_index():
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"""Generate comprehensive index of all tools."""
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index = {
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"generated": datetime.now().isoformat(),
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"repository": "system-prompts-and-models-of-ai-tools",
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"version": "2.0",
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"stats": {
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"total_tools": 0,
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"total_files": 0,
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"total_lines": 0,
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"by_category": {},
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"by_type": {}
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},
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"tools": []
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}
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# Scan all directories
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for item in sorted(os.listdir('.')):
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if os.path.isdir(item) and item not in ['.git', 'assets', '.github', 'scripts']:
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# Get metadata
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info = TOOL_INFO.get(item, {
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"name": item,
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"company": "Unknown",
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"category": "Unknown",
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"type": "unknown",
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"description": "No description available",
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"website": None,
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"models": []
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})
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# Analyze files
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files, total_lines = analyze_directory(item)
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tool_data = {
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**info,
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"directory": item,
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"files": files,
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"file_count": len(files),
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"total_lines": total_lines
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}
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index["tools"].append(tool_data)
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index["stats"]["total_tools"] += 1
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index["stats"]["total_files"] += len(files)
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index["stats"]["total_lines"] += total_lines
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# Update category stats
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category = info.get("category", "Unknown")
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index["stats"]["by_category"][category] = index["stats"]["by_category"].get(category, 0) + 1
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# Update type stats
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tool_type = info.get("type", "unknown")
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index["stats"]["by_type"][tool_type] = index["stats"]["by_type"].get(tool_type, 0) + 1
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return index
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if __name__ == "__main__":
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print("Generating metadata index...")
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index = generate_index()
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# Write to file
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output_path = "scripts/index.json"
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with open(output_path, 'w', encoding='utf-8') as f:
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json.dump(index, f, indent=2, ensure_ascii=False)
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print(f"\n✓ Generated {output_path}")
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print(f"\nStatistics:")
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print(f" Total Tools: {index['stats']['total_tools']}")
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print(f" Total Files: {index['stats']['total_files']}")
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print(f" Total Lines: {index['stats']['total_lines']:,}")
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print(f"\nBy Category:")
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for cat, count in sorted(index['stats']['by_category'].items()):
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print(f" {cat}: {count}")
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print(f"\nBy Type:")
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for typ, count in sorted(index['stats']['by_type'].items()):
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print(f" {typ}: {count}")
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