jennydove/self-improving-claude
A self-improving Claude Code setup: session commands, audits, fixes, and memory that compound over time.
SUMMARY AI summary by gpt-5-mini
A framework for a self-improving Claude Code setup: it’s designed for a single product manager/operator who uses Claude daily and wants the setup to audit itself, fix drift, and accumulate knowledge across sessions. Core idea: two loops — a fast session loop (run every session via /done) that logs work, updates memory, detects new reusable skills, and flags skill improvements; and a slower quality loop (weekly/bi‑weekly audits) that verifies files against written standards. Key features: - Orchestrated sub‑skills (/done calls /ai-log, /update-memory, /check-for-skills, /update-skills, push config) - Audit commands (/audit-skills, /audit-claude-md) and fixes (/fix-skills, /fix-claude-md, /update-config) - Memory system (memory/MEMORY.md index + per-topic memory/*.md files) - Growth tooling to extract reusable skills - Staged automation playbook: manual -> scheduled audits -> full automation when trusted Scope: personal setup; future intent to support team setups.
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Owner
Director of Programs @lfph, formerly @TCNCoalition, @Spothero
Dates
| Created on GitHub | 2026-05-15 |
| Last push | 2026-05-15 |
| First seen here | 2026-05-15 |
| Last fetched | 2026-05-16 18:17 |