Agent Skillsdartsim/dart › dart-retro

dart-retro

GitHub

执行DART回顾流程,捕获持久化经验教训。通过审查现有文档、梳理工作成果并评估学习价值,将关键洞察更新或整合至AI基础设施文档中,避免冗余,确保知识可发现且对后续开发者有益。

.agents/skills/dart-retro/SKILL.md dartsim/dart

Trigger Scenarios

完成重要开发任务后需要总结复盘 发现新的设计模式、故障模式或工作流摩擦点 需要将会话中的隐性知识转化为持久化的团队文档

Install

npx skills add dartsim/dart --skill dart-retro -g -y
More Options

Non-standard path

npx skills add https://github.com/dartsim/dart/tree/main/.agents/skills/dart-retro -g -y

Use without installing

npx skills use dartsim/dart@dart-retro

指定 Agent (Claude Code)

npx skills add dartsim/dart --skill dart-retro -a claude-code -g -y

安装 repo 全部 skill

npx skills add dartsim/dart --all -g -y

预览 repo 内 skill

npx skills add dartsim/dart --list

SKILL.md

Frontmatter
{
    "name": "dart-retro",
    "description": "DART Retro: run a retrospective and capture durable lessons"
}

dart-retro

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 verification gates from docs/ai/verification.md: pixi run lint-md, pixi run check-lint-md, pixi run sync-ai-commands, pixi run check-ai-commands, pixi run check-docs-policy, and pixi run check-lint-spell.

Output

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

Version History

  • b9fbefc Current 2026-07-19 11:30

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Metadata

Files
0
Version
2050134
Hash
cfe935e1
Indexed
2026-07-19 11:30

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