learn

Capture, search, prune, and export project learnings across development sessions.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/Jia-Hong-Peng/jolike.com --skill learn-jia-hong-peng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/Jia-Hong-Peng/jolike.com/tree/main/.claude/skills/gstack/learn
Command: npx skills add https://github.com/Jia-Hong-Peng/jolike.com --skill learn-jia-hong-peng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Development teams repeatedly encounter the same bugs and architectural debates because insights from past sessions disappear when context is lost. This Skill preserves institutional knowledge by capturing patterns, pitfalls, and decisions automatically, making them searchable and actionable across sessions.

Core Features & Use Cases

  • Automatic Capture: Records learnings from /review, /ship, /investigate, and other gstack skills without manual documentation.
  • Semantic Search: Find relevant past solutions using natural language queries like "authentication timeout" or "D1 migration issues."
  • Pruning & Maintenance: Identify stale entries referencing deleted files or contradictory patterns to keep the knowledge base accurate.
  • Use Case: A developer debugging a 500 error can search past learnings to discover that the team already fixed a similar issue last month, including the exact file and line number.

Quick Start

Use the learn skill to search for past solutions to database connection errors or export all project learnings for team onboarding.

Frequently Asked Questions about learn

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

FAQPage Schema
How do I track and reuse project learnings across development sessions?

You can track project learnings by using a local store with session tracking to automatically capture insights, making cross-session knowledge searchable and actionable for future development work.

How does automatic knowledge capture work for bug investigation and pattern recognition?

Automatic knowledge capture records learnings from review, ship, and investigate workflows without manual documentation, preserving institutional knowledge like bug fixes and architectural decisions across sessions.

Can I find past solutions for database connection errors using natural language search?

Yes, you can find past solutions using semantic search with natural language queries like authentication timeout or database connection errors to retrieve relevant historical learnings including specific file details.

Does this cross-session knowledge retention require a specific infrastructure setup?

Yes, cross-session knowledge retention requires gstack infrastructure with a local learnings store and session tracking to maintain context and preserve institutional knowledge across development sessions.

How do I prune stale entries and contradictory patterns from a project knowledge base?

You prune stale entries by identifying learnings referencing deleted files or contradictory patterns, keeping the knowledge base accurate and maintained during software development workflows.

What is the best way to export project learnings for team onboarding?

The best way to export project learnings for team onboarding is to use the export feature to compile all captured insights, patterns, and decisions into a shareable format for new developers.