Store and search project learnings in per-project JSONL files.
npx skills add https://github.com/mulyoved/awesome-agent-ides --skill learn-mulyoved
Please help me install this Agent Skill. Skill: learn Source: https://github.com/mulyoved/awesome-agent-ides/tree/main/.agents/skills/gstack/learn Command: npx skills add https://github.com/mulyoved/awesome-agent-ides --skill learn-mulyoved
Capture, review, and reuse learnings from gstack sessions to avoid repeating mistakes and to accelerate future work.
Show the most recent learnings for the current project and export them to CLAUDE.md
High-intent search queries and answers about installing and using this skill.
To consolidate project learnings across sessions, you can use a knowledge-management tool that organizes insights into per-project JSONL files. This approach captures patterns and prevents repeating mistakes by surfacing relevant historical data.
You can export project learnings to CLAUDE.md by running an export command that converts stored JSONL entries into markdown documentation. This generates a readable file for onboarding and workflow adjustment purposes.
The best way to search past session insights is to use a knowledge-management search function that queries per-project JSONL files. This quickly locates specific patterns, pitfalls, or incidents across your historical work.
Yes, you can automatically prune stale entries from your knowledge base. Pruning functionality flags or removes outdated learnings to ensure your stored project insights remain relevant and accurate over time.
Yes, gstack supports exporting learnings as JSONL files for documentation and sharing. The system stores captured insights in per-project JSONL files and provides an export function for external use.
limzivectorManage and retrieve learnings from a gstack project session JSONL file.
Largo2z9Export Claude Code sessions into structured markdown transcripts for archiving.
roycolumbia-codeGenerate AI-SPEC.md design contracts and orchestrate workflow tasks.
kinetasStore, search, prune, and export project learnings across sessions.
