AI DevKit · Run an evidence-based retrospective on finished work (feature, session, incident) and turn friction into durable fixes, automation first. Use when users ask for a retro, lessons learned, post-mortem, or "what went wrong", or when another skill offers one after a feature or fix.
98%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
Passed
No findings from the security scan
Turn what went wrong into fixes that stop it recurring. Not a status summary: use session-compact for handoff state.
Pick the highest rung that works:
AGENTS.md / CLAUDE.md, docs.memory entry, only for knowledge that cannot be enforced. Search first; update instead of duplicating.git log and diff for the range, failed or retried commands, hook/CI failures, task evidence, user corrections. Use the session transcript when available (agent sessions, session-compact); do not require it.verify (a new check must fail on the old state when practical), and commit per the user's workflow.Pause when evidence is missing, a fix needs a team or ownership decision, or the root cause is unclear; hand unclear failures to dev-debug.
codeaholicguy/ai-devkit
ce64bb1
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.