AI/ML●Mid
Self-Evolving Skill – empirical results from a 5-round experiment
Five-gate validation framework prevents skill knowledge drift, but experiments limited to one domain.
Big Brain
tiansenxu
103mo ago
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GitHub Repository
A self-learning skill layer for Claude Code — distills skills from your real sessions, updates them as you work, and prunes the ones that stop getting used. No daemon, no benchmark.
14 starsPython
Autoharness – a self-learning, maintaining skill layer for Claude Code
by Tigerless_ailab·Jun 30, 2026·3 points·0 comments
AI Analysis
●●●BangerBig BrainZero to One
Self-pruning skill layer for Claude Code that merges duplicates and updates from real usage.
Strengths
- •Learns from actual sessions without separate data collection loops
- •Merges similar skills instead of accumulating near-duplicates
- •Validates skills through invocation rate, not artificial benchmarks
Weaknesses
- •Only works with Claude Code, not other AI coding assistants
- •14 GitHub stars indicates very early adoption and unproven at scale
Category
Target Audience
Developers using Claude Code who want persistent, improving skills
Similar To
Claude Code plugins · HAL
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