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/dev-retro

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

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ai-devkit
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Install
$ npx -y skills add codeaholicguy/ai-devkit --skill dev-retro --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/dev-retro

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

dev-retro.SKILL.md
name: dev-retro
description: 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.

Retro

Turn what went wrong into fixes that stop it recurring. Not a status summary: use `session-compact` for handoff state.

Rules

  • When suggested by another skill, ask the user before running; skip silently if declined.
  • Every item needs evidence: a failed command, hook or test output, a user correction, a revert, or rework in the diff. No generic lessons.
  • Cap at the 3-5 highest-cost items. Note what worked in one line only if it should be kept on purpose.
  • Blameless: describe the gap in the system, not the person or agent.
  • Never copy secrets, credentials, or personal data from transcripts into fixes or memory.

Fix Ladder

Pick the highest rung that works:

1. Automate: test, lint rule, hook, CI check, build dependency. 2. Fix the tool: script, template, default config. 3. Instruct: skill, `AGENTS.md` / `CLAUDE.md`, docs. 4. Remember: `memory` entry, only for knowledge that cannot be enforced. Search first; update instead of duplicating. 5. Drop: one-off with no pattern.

Workflow

1. Scope the work: feature, branch, session, or incident, and its commit range. 2. Gather evidence: `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. 3. For each item, record: what happened, cost (time, rework, risk), root cause in one line, and the fix with its rung, exact file or command. 4. Present the items and wait for approval. Memory-only fixes may proceed; skill, config, CI, and code changes need explicit approval. 5. Apply approved fixes, validate each with `verify` (a new check must fail on the old state when practical), and commit per the user's workflow. 6. Report: fixes applied with rung, items dropped and why, follow-ups left open.

Stop

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`.

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Ships withai-devkit

The control plane for AI coding agents. AI DevKit gives Claude Code, Codex CLI, Gemini CLI, opencode, Pi, Cursor, GitHub Copilot, Devin, and other coding agents one local-first operating layer: one config, one console, local memory retrieval, cross-agent

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