Manage project learnings across sessions in a JSONL store.
npx skills add https://github.com/Chang-Shih-Yung/auto-learning --skill learn-chang-shih-yung
Please help me install this Agent Skill. Skill: learn Source: https://github.com/Chang-Shih-Yung/auto-learning/tree/main/.claude/skills/gstack/learn Command: npx skills add https://github.com/Chang-Shih-Yung/auto-learning --skill learn-chang-shih-yung
This Skill helps teams capture and organize learnings across sessions, enabling centralized review, search, pruning of stale entries, and exporting insights to documentation.
Run /learn to view your most recent learnings and basic summaries.
High-intent search queries and answers about installing and using this skill.
To capture and search project learnings across sessions, run /learn to view recent entries and basic summaries. The Skill reads and writes to a local JSONL learnings store, enabling centralized review and search by key, insight, or source.
The best way to export a knowledge base to markdown is using the learn Skill's export feature. It surfaces captured insights from the JSONL store and formats them for sharing with stakeholders, turning session learnings into documentation.
Yes, you can prune stale or conflicting entries in a JSONL knowledge base. The learn Skill manages project learnings across sessions, allowing you to clean up outdated entries to keep your knowledge base fresh and reliable.
The learn Skill stores analytics and insights locally by reading and writing to a JSONL file located at ~/.gstack/projects/${SLUG:-unknown}/learnings.jsonl. This structure surfaces counts and analytics for your review.
No external dependencies are required to manage project learnings with this tool. It operates independently with no listed dependencies, relying solely on the local JSONL learnings store within the gstack environment.
You should prune entries from your session learnings knowledge base when stale or conflicting insights accumulate. Pruning keeps the knowledge base fresh and reliable, ensuring review and search operations surface accurate patterns.
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