Review, search, prune, and export stored project learnings from prior sessions.
npx skills add https://github.com/abrahamgreyson/skills --skill learn-abrahamgreyson
Please help me install this Agent Skill. Skill: learn Source: https://github.com/abrahamgreyson/skills/tree/main/gstack/learn Command: npx skills add https://github.com/abrahamgreyson/skills --skill learn-abrahamgreyson
This Skill helps you capture, review, and maintain project learnings so important decisions, repeated fixes, and useful patterns are not lost between sessions.
Use the learn skill to review the project’s stored learnings and identify anything that should be searched, pruned, or exported.
High-intent search queries and answers about installing and using this skill.
To keep project learnings searchable across sessions, you need a persistent project memory system that stores recurring patterns, decisions, and fixes for session-aware retrieval. This allows you to recall relevant context whenever a new task or bug arises.
The best way to manage and prune stale project knowledge is to review stored learnings periodically and remove outdated or low-value entries. This ensures your project memory stays accurate, reliable, and useful for ongoing work.
Yes, you can export project learnings to produce a portable view of collected knowledge. This workflow supports sharing collected knowledge, conducting audits, or feeding the data into downstream processes for broader team visibility.
You can search prior session knowledge by querying your stored project memory to surface relevant learnings. This provides immediate context for new tasks, bug fixes, or planning discussions by recalling past decisions and recurring patterns.
Yes, this project memory approach is designed specifically for ongoing software engineering projects where recurring patterns, architectural decisions, and repeated fixes need to be recalled, reviewed, and maintained over time.
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