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mise-en-place就位

Agent Skill

mise-en-place 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

353

周安装

15

GitHub Stars

1

下载量

124
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mise-en-place(就位)
来源仓库:https://github.com/sebastiaanwouters/dotagents
仓库路径:skills/mise-en-place
安装命令:
npx skills add https://github.com/sebastiaanwouters/dotagents --skill mise-en-place
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/sebastiaanwouters/dotagents --skill mise-en-place

简介

mise-en-place 用于查找、检索和筛选相关信息。

  • 适合在任务准备阶段定位标准化流程与检查清单。mise-en-place 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 通过 npx 命令从指定仓库安装,需查阅原始文档了解应用场景。
  • 安装前应确认是否需团队协作权限或知识库访问。
  • 建议核实来源仓库的流程完整性与实际落地可行性。

SKILL.md

Mise-en-Place

Turn a raw idea or existing spec into a detailed, implementation-ready prd.json for ratatouille.

Trigger Formats

  • mise-en-place: <short idea>
  • mise-en-place: <file path> (e.g., mise-en-place: SPEC.md)

Inputs

  • Idea prompt OR spec file
  • Optional: existing codebase to inspect for stack + constraints

Outputs

  • prd.json (root)

Workflow

1) Intake

  1. If user provides a file path, read it. If missing, ask for the correct path.
  2. If user provides a prompt, treat it as the seed spec.
  3. If a codebase exists, do a quick scan for stack + constraints (configs, lockfiles) to avoid redundant questions.

2) Interview + Brainstorm

Ask focused questions to fill gaps. Keep it fast and structured. If the user prefers brevity, batch 3-5 questions at a time.

Minimum areas to cover:

  • Problem + target users
  • Core user flow (start → success)
  • Features (must-have vs nice-to-have)
  • Non-goals/out of scope
  • Tech stack expectations (or confirm detected stack)
  • Data model + APIs/integrations
  • Security/privacy requirements
  • Design direction (if UI)
  • Constraints (deadline, budget, compliance)

3) Research (Web)

Run targeted web research for:

  • Domain-specific standards or best practices
  • Chosen stack + library gotchas
  • Security/compliance requirements (if applicable)
  • Competitive benchmarks or common UX patterns

Summarize key findings (short bullets) and capture sources in prd.json.

4) Generate prd.json

Create a single, canonical JSON file in the repo root:

{
  "meta": {
    "title": "",
    "created": "YYYY-MM-DD",
    "updated": "YYYY-MM-DD",
    "source": "mise-en-place",
    "seed": "prompt|file"
  },
  "vision": {
    "problem": "",
    "audience": "",
    "success": ""
  },
  "scope": {
    "in": [""],
    "out": [""]
  },
  "user_flow": [
    "Discovery",
    "Onboarding",
    "Core loop",
    "Exit/return"
  ],
  "features": [
    {
      "id": "F-001",
      "name": "",
      "description": "",
      "inputs": [""],
      "outputs": [""],
      "edge_cases": [""]
    }
  ],
  "requirements": {
    "functional": [""],
    "non_functional": [""]
  },
  "data_model": [
    {
      "entity": "",
      "fields": [""],
      "relationships": [""]
    }
  ],
  "integrations": [
    {
      "name": "",
      "purpose": "",
      "constraints": ""
    }
  ],
  "design": {
    "style": "",
    "references": [""]
  },
  "tech_stack": {
    "frontend": "",
    "backend": "",
    "db": "",
    "auth": "",
    "hosting": "",
    "realtime": "",
    "other": [""]
  },
  "risks": [""],
  "research": [
    {
      "topic": "",
      "summary": "",
      "sources": [""]
    }
  ],
  "tasks": [
    {
      "id": "T-001",
      "title": "",
      "goal": "",
      "scope": "one iteration",
      "acceptance_criteria": [""],
      "tracer_bullet": "thin end-to-end slice",
      "dependencies": [""],
      "status": "todo",
      "notes": ""
    }
  ]
}

5) Task Decomposition Rules

  • Each task must be one ratatouille iteration.
  • Provide a tracer-bullet path for each task.
  • Keep tasks independent where possible.
  • Include explicit acceptance criteria.

6) Handoff Hint

Finish by telling the user to run ratatouille:

  • ratatouille: prd.json

Rules

  • Be concise and precise.
  • Do not implement code.
  • Store everything in prd.json.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

27.08%
按下载量换算34

windsurf

22.56%
按下载量换算28

trae

17.75%
按下载量换算22

OpenCode

12.79%
按下载量换算16

Codex

6.97%
按下载量换算9

github-copilot

3.12%
按下载量换算4

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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