self-improving-agent
Installation
SKILL.md
Self-Improving Agent - Autonomous Learning Patterns
Tier: POWERFUL Category: Engineering Tags: self-improvement, AI agents, feedback loops, auto-memory, meta-learning, performance tracking
Overview
Self-Improving Agent provides architectural patterns for AI agents that get better with use. Most agents are stateless -- they make the same mistakes repeatedly because they lack mechanisms to learn from their own execution. This skill addresses that gap with concrete patterns for feedback capture, memory curation, skill extraction, and regression detection.
The key insight: auto-memory captures everything, but curation is what turns noise into knowledge.
Sub-Skills
This skill uses compound sub-skill architecture. Each sub-skill in skills/ handles a specific step of the improvement loop:
| Sub-Skill | File | Purpose |
|---|---|---|
| Remember | skills/remember.md |
Capture errors and learnings from current session |
| Extract | skills/extract.md |
Extract reusable patterns from completed work |
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