# Babysitter:retrospect

> Analyze a completed or in-flight run and propose process improvements for future runs.

- Skill: `majiayu000/babysitter-retrospect` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/babysitter-retrospect`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/babysitter-retrospect/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/babysitter-retrospect

---


# babysitter:retrospect

Run a structured retrospective over the last babysitter execution and convert findings into actionable process/library improvements.

## Workflow

1. Resolve target run
- If run ID is provided, use it.
- Otherwise select the latest run under `.a5c/runs`.

2. Collect run evidence
- Read run status/events/task outputs:
```bash
babysitter run:status .a5c/runs/<runId> --json
babysitter task:list .a5c/runs/<runId> --json
```
- Inspect trace and event stream:
  - `.a5c/runs/<runId>/run-trace.jsonl`
  - `.a5c/events/events.jsonl`

3. Analyze against process library
- Use bundled upstream process library at:
  - `upstream/babysitter/skills/babysit/process`
- Compare what was executed vs relevant methodologies/specializations.

4. Produce retrospective output
- Include:
  - What worked well
  - What failed or slowed convergence
  - Concrete process modifications (tasks/hooks/policies/budgets/breakpoints)
  - Suggested library contributions (processes/skills/agents/docs)

5. If user approves, apply improvements
- Update process files under `.a5c/processes` and/or codex harness config/docs.
- Suggest contribution flow to upstream Babysitter for generally useful changes.