Most agents repeat the same mistakes because they're stateless. This skill gives you patterns for agents that actually learn: feedback loops that capture what worked and what failed, memory curation that turns session logs into actionable rules, and a promotion system that graduates proven patterns from MEMORY.md into enforced rules in CLAUDE.md. It's built as five sub-skills (Remember, Extract, Promote, Review, Status) that form an improvement cycle, plus scripts for pattern extraction and regression detection. Use this when you're building agents that run repeatedly and you're tired of watching them make the same errors. The core insight is solid: auto-memory captures everything, but curation is what makes it useful.
npx skills add https://github.com/borghei/claude-skills --skill self-improving-agent