Generate structured learnings from .beads artifacts and git history.
npx skills add https://github.com/minhtri2710/skills --skill beo-compounding
Please help me install this Agent Skill. Skill: beo-compounding Source: https://github.com/minhtri2710/skills/tree/main/skills/beo/compounding Command: npx skills add https://github.com/minhtri2710/skills --skill beo-compounding
Capture learnings from completed feature work to improve future planning and execution, reducing repeated mistakes and enabling faster, smarter feature delivery.
Run compounding after feature review to generate learnings from artifacts and commit them to the learnings store.
High-intent search queries and answers about installing and using this skill.
To capture learnings from completed features, extract reusable patterns and decisions from .beads artifacts and git history, then generate structured outputs to .beads/learnings and update .beads/STATE.md to prevent repeated mistakes.
The best way to extract reusable patterns is using a multi-agent workflow with Pattern Extractor and Decision Analyst roles to analyze .beads artifacts and git history, generating structured learnings for future planning.
Yes, you can promote critical patterns to .beads/critical-patterns.md and integrate with optional knowledge-store references to retain and retrieve reusable learnings across future features.
Run a feature review compounding workflow immediately after completing a feature to gather artifacts, analyze failures, and commit structured learnings to the learnings store while context is fresh.
No external dependencies are required. The process gathers artifacts directly from local .beads artifacts and git history, using optional knowledge-store references to generate structured learnings.
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