learn

Identify and codify patterns from code and project history.

Updated Jun 4, 2026
One-click install
npx skills add https://github.com/valegrajales/agentic-retrieval-example --skill learn-valegrajales
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/valegrajales/agentic-retrieval-example/tree/main/.github/skills/learn
Command: npx skills add https://github.com/valegrajales/agentic-retrieval-example --skill learn-valegrajales

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of capturing and codifying reusable patterns from recent work, making it easy to build on past knowledge and improve project practices.

Core Features & Use Cases

  • Pattern Extraction: Analyze code, history, and observations to identify patterns.
  • Instinct Creation: Generate and update project instincts based on patterns.
  • Use Case: After finishing a feature or bug fix, use this Skill to capture insights and make them part of your project's knowledge base.

Quick Start

Run the learn skill to capture and codify project 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 codify reusable patterns from recent project work?

To capture project learning, you can automate pattern extraction from code and history. This process identifies reusable code practices and converts them into documented project instincts for future reference.

How does automated pattern extraction from code history work?

Automated pattern extraction works by analyzing your local file system and Git history to identify recurring code practices. It then codifies these observations into structured project instincts.

Do I need Git to extract code patterns and create project instincts?

Yes, Git and local file system access are required to process code and history data. Git history provides the necessary commit context to accurately identify and codify project patterns.

When should I use automated knowledge management for my codebase?

You should use automated knowledge management after finishing a feature or bug fix. This captures fresh insights and best practices immediately, making them part of your project knowledge base.

Can I generate project instincts from observed code practices automatically?

Yes, you can generate and update project instincts automatically from observed patterns. The system analyzes your code practices and directly codifies them into your project knowledge base.

What is the best way to build on past project knowledge without manual documentation?

The best way to build on past knowledge is automating the capture of project learning from code history. This eliminates manual documentation by directly creating instincts from observed patterns.