kramme:extract-learnings
CommunityCapture learnings; propose AGENTS updates.
Content & Communication#workflow#documentation#learnings#knowledge-management#AGENTS.md#extract#session-analysis
AuthorAbildtoft
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps teams capture non-obvious learnings from a session and systematically propose updates to AGENTS.md files, reducing manual note-taking and ensuring organizational knowledge improves over time.
Core Features & Use Cases
- Phase-based extraction: Analyzes a session to identify non-obvious discoveries and suggest targeted AGENTS.md updates.
- Scope-aware placement: Determines project-wide, package/module-specific, or feature-specific AGENTS.md locations based on the learning's context.
- Structured recommendations: Outputs learnings in a standardized format with placement, existing context (when possible), rationale, and required approvals.
Quick Start
Run the extract-learnings skill on the current session transcript to generate proposed AGENTS.md learnings. Then review and approve changes via the guided flow.
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: kramme:extract-learnings Download link: https://github.com/Abildtoft/kramme-cc-workflow/archive/main.zip#kramme-extract-learnings Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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