self-learning
CommunityTurn execution traces into smarter agents.
Authorgotar
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Self-learning enables agents to convert execution traces into actionable knowledge to continuously improve performance.
Core Features & Use Cases
- Trace capture and storage: automate recording of task execution histories into the learning workspace.
- Insight extraction and knowledge-building: transform traces into actionable patterns and a persistent knowledge base.
- Adaptive behavior: apply session-local, agent-specific, and system-wide adaptations to improve future tasks.
Quick Start
Capture a trace after completing a task, run analyze_traces.py to generate insights, and apply adaptations with apply_adaptation.py to validate improvements.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 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: self-learning Download link: https://github.com/gotar/opencode-config/archive/main.zip#self-learning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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