Feedback Loop - Self-Improvement
CommunityCapture runtime signals for self-improvement.
Authortheofernandezz
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables continuous improvement of the AI library by capturing learnings from real tasks, logging signals when gaps, missing patterns, or outdated guidance occur, and surfacing actionable improvements for maintenance.
Core Features & Use Cases
- Runtime signals are captured mid-task to surface gaps, missing patterns, or outdated guidance.
- Post-task reviews generate structured learnings and suggested improvements to skill docs and patterns.
- Periodic maintainer signals aggregate insights for library evolution and quality checks.
Quick Start
After finishing a feature, run the self-improvement workflow to log runtime signals and post-task learnings.
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: Feedback Loop - Self-Improvement Download link: https://github.com/theofernandezz/ai-library/archive/main.zip#feedback-loop-self-improvement Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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