draft-distill-proposals
CommunityTurn PR diffs into staged learning proposals
Software Engineering#learning extraction#STM#evidence analysis#pr diff#deterministic development#proposal staging#enterprise agentic workflow
Authorkapilvirenahuja
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It analyzes a merged PR diff (optionally with related STM evidence) to detect real learning signals, then produces lightweight, staged proposals so future work can avoid repeating mistakes.
Core Features & Use Cases
- Diff-to-proposal learning extraction: Detects semantic learning signals from implementation changes and classifies them into targeted updates.
- STM-evidence-aware confidence: Reads available issue evidence (enhance/fix-it artifacts) to raise or lower confidence and prioritize the strongest learnings.
- Staged proposals for review: Writes proposals.yaml only to the issue’s STM evidence/distill area, enabling optional human review without updating product LTM.
Quick Start
Use the draft-distill-proposals skill to analyze a merged PR diff along with any available issue STM evidence and generate up to two staged proposals in proposals.yaml for human review.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: draft-distill-proposals Download link: https://github.com/kapilvirenahuja/garura/archive/main.zip#draft-distill-proposals Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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