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usecompai
usecompaiOFFICIAL
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learn

Reviews conversations to classify and save learnings into the shared brain via *_brain_learn_* tool.

24|8|Updated Mar 9, 2026
Search Tags:#knowledge management#learning capture#session review#AI agent learning#brain documentation
One-click install
npx skills add https://github.com/usecompai/compound-operations-model --skill learn-usecompai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/usecompai/compound-operations-model/tree/main/kit/init/onboarding-pack/skills/learn
Command: npx skills add https://github.com/usecompai/compound-operations-model --skill learn-usecompai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps users capture and save their learnings after a working session, ensuring that valuable insights are not lost and can be shared with the team and AI agents.

Core Features & Use Cases

  • Review and Extract Learnings: Analyze conversations to identify genuine learnings, such as tool gotchas, patterns, and user decisions.
  • Classification and Saving: Classify learnings into personal, corporate, or agent-specific categories and save them in the shared brain.
  • Confirmation and Proposals: Propose changes before applying them, ensuring accurate documentation.
  • Variants for Specific Needs: Use variants like /learn quick, /learn personal, or /learn [topic] for different use cases.

Quick Start

At the end of your session, type "Run the learn skill" or "/learn" to save your learnings.

Frequently Asked Questions about learn

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I capture and save learnings from AI chat sessions for team knowledge management?▼

To capture learnings from AI chat sessions, you can run the learn skill to review conversations, extract insights, classify them, and save them in a shared brain for team knowledge management.

What is the best way to document AI agent learning and user decisions after a working session?▼

The best way to document AI agent learning is to analyze post-session conversations to identify tool gotchas, patterns, and decisions, then save these classified insights into a shared brain.

How does automated session review classify captured knowledge for corporate or personal use?▼

Automated session review classifies captured knowledge by analyzing conversations and sorting extracted learnings into personal, corporate, or agent-specific categories before saving them to the shared brain.

Can I propose changes to brain documentation before the extracted learnings are applied?▼

Yes, you can propose changes to brain documentation. The skill proposes changes and asks for confirmation before applying them, ensuring your captured learnings are accurately documented.

Do I need the brain_learn MCP tool to manage file management and timestamping for knowledge capture?▼

Yes, you need the brain_learn MCP tool. It is required to handle file management and timestamping when saving your classified learnings into the shared brain.

What variants are available for quick or topic-specific learning capture during post-session review?▼

For quick or topic-specific learning capture, you can use variants like /learn quick, /learn personal, or /learn [topic] to tailor the post-session review to your specific needs.

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