dart-retro

SkillProductivity

DART Retro: improve the AI harness from successful or unsatisfactory task outcomes

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the dart-retro skill

What this skill tells your AI

The instructions your AI receives, as published by dartsim/dart in .agents/skills/dart-retro/SKILL.md and read by ahel’s review.

Use this skill in Codex to run the DART dart-retro workflow. The editable workflow source lives in .claude/commands/; this file is its generated adapter in the shared .agents/skills/ catalog.

Invocation

  • Claude Code/OpenCode: /dart-retro <arguments>
  • Codex: $dart-retro <arguments>

Treat the text after the skill name as $ARGUMENTS. When the workflow references $1, $2, etc., map those to the positional values supplied by the user.

Command Body

Run a retrospective and capture durable lessons: $ARGUMENTS

Required Reading

@AGENTS.md @docs/AGENTS.md @docs/ai/principles.md @docs/ai/components.md @docs/ai/verification.md @docs/onboarding/ai-tools.md

Skip If

Stop without editing when all are true:

  • no new patterns, gotchas, or failure modes were discovered
  • no workflow improvement is needed
  • the learning is too session-specific to help future agents or contributors
  • existing docs already cover what happened
  • the task was routine and left no durable insight

Routing

docs/ai/components.md owns routing for durable session learnings. Use this command as the hindsight workflow; do not duplicate the routing table here.

Workflow

  1. Search existing docs before adding content.
  2. Inventory the completed work before routing lessons. Consider domain/design choices, public API or package compatibility, CI/review failure modes, workflow friction, and cleanup or handoff steps separately so a late operational task does not hide feature-level learnings.
  3. Decide whether each lesson is general enough for shared AI infra. Do not update AI components after every session.
  4. Prefer update, remove, consolidate, or restructure over adding new files.
  5. Make every durable learning discoverable from its owner surface: update an existing owner doc when possible, and when a new durable file is justified, link it from the relevant owner index or plan before retiring temporary context.
  6. Keep docs/ai/principles.md compact; put procedures in the owner docs it links to.
  7. Avoid ephemeral branch, PR, commit, or username details.
  8. If adding a workflow command or skill, edit .claude/ source files and run pixi run sync-ai-commands.
  9. Run pixi run lint before committing. For AI docs or adapter changes, also run the AI docs/adapters gate set from docs/ai/verification.md.

Output

  • What learning was captured
  • Where it was documented
  • Checks run

Signals

GitHub stars
1k
Forks
304
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
dart-retro
Source
github.com/dartsim/dart