Review, search, prune, and export stored project learnings from JSONL files.
npx skills add https://github.com/esopian/blue-oak-audit --skill learn-esopian
Please help me install this Agent Skill. Skill: learn Source: https://github.com/esopian/blue-oak-audit/tree/main/.claude/skills/gstack/learn Command: npx skills add https://github.com/esopian/blue-oak-audit --skill learn-esopian
This Skill helps users manage and organize their project learnings, making it easy to review, search, prune outdated entries, and export insights for future reference.
Use the learn skill to view recent learnings, search for specific topics, prune outdated entries, or export all current notes with a single command.
High-intent search queries and answers about installing and using this skill.
Pruning stale project learnings involves identifying and removing outdated or contradictory entries from your stored JSONL files. This keeps your knowledge base current by ensuring file system modification checks validate entries before removal.
Exporting project learnings saves your reviewed session insights into formats suitable for sharing or backup. This ensures knowledge preservation by writing the pruned JSONL data to an accessible output file.
Yes, maintaining a project knowledge base requires access to stored JSONL files, search algorithms, and file system operations. These prerequisites enable the review, pruning, and exporting of session insights for your team.
Reviewing project learnings allows you to quickly access recent notes and find specific insights across sessions. By searching stored JSONL files, you retrieve historical decisions and track ongoing project knowledge effectively.
Pruning project knowledge involves searching stored JSONL files to identify and remove outdated or contradictory session insights. This process maintains a current knowledge base by applying file system modification checks to stale entries.
Exporting project learnings writes your reviewed and pruned session insights to shareable formats for backup. This preserves knowledge by using file system operations to save the current JSONL data outside the active knowledge base.
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