# Poke | AI System Prompts Hub
A collection of system prompts for various AI tools.

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# Poke ​

- Poke agent
- Poke_p1
- Poke_p2
- Poke_p3
- Poke_p4
- Poke_p5
- Poke_p6

## Summary of Product Tool Documents ​

This directory contains the complete system prompts and behavioral guidelines designed for the AI assistant "Poke". Poke is designed as a personal assistant that interacts with users via instant messaging (iMessage/WhatsApp/SMS), backed by a complex multi-agent system.

- `Poke agent.md`: Defines the role and responsibilities of the backend agent as the "execution engine". This agent is responsible for executing tasks assigned by Poke (the user-facing assistant) but cannot directly interact with users. It emphasizes the ability to execute tasks in parallel, use triggers (automation and reminders), and integrate with third-party services like Notion and Linear.

- `Poke_p1.md` to `Poke_p6.md`: These files are detailed system prompts for the main assistant Poke, elaborated in multiple parts:

  - P1 (Personality and Functions): Defines Poke's identity as a brand ambassador, its enthusiastic and witty personality, adaptable communication style, and logic for handling different types of messages (user, agent, automation, etc.).
  - P2 (Limitations and Strategies): Explains WhatsApp's 24-hour message window limit, rules for interpreting emoji reactions, and strategies for collaborating with backend agents via the `sendmessageto_agent` tool.
  - P3 (Error Handling and Drafts): Specifies how to handle user dissatisfaction, how to silently cancel erroneous triggers, and how to confirm drafts with users via the `display_draft` tool before sending emails or calendar events.
  - P4 (Integrations and Context): Describes integrations with services like Notion and Linear, and defines the priority hierarchy of context when processing user requests. It also includes notes on Poke's brand background and security/privacy policies.
  - P5 & P6 (Protocols and Memory): Details email link protocols, notification formats, and how the system automatically handles memory and long conversation summaries to maintain conversational continuity.

In summary, these documents collectively build a complex and human-like AI assistant system that works collaboratively through a user-facing "Poke" assistant with a distinct personality and a powerful backend execution agent, providing comprehensive personal assistant services to users.