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Agent Skill · 研究检索

mece(mece 搜索)

mece 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。

mece 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 61,129。

总安装 356周安装 15GitHub Stars 11下载 125核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:mece(mece 搜索)
来源仓库:https://github.com/uxderrick/mece-skill
仓库路径:skills/mece
安装命令:
npx skills add https://github.com/uxderrick/mece-skill --skill mece
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/uxderrick/mece-skill --skill mece

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

mece 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于需要根据关键词或任务场景从来源线索中获取信息的场景。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。

安装前需确认权限范围、维护状态及是否触发联网或文件读写操作。mece 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/mece

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/uxderrick/mece-skill --skill mece;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

mece 怎么安装?

在终端执行 npx skills add https://github.com/uxderrick/mece-skill --skill mece。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

mece 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

mece 需要什么权限?

权限级别是需要联网。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。

mece 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

mece 用的人多吗?

公开数据是累计安装 356 次,近一周安装 15 次,下载 125 次,GitHub 11 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

mece 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
mece

mece 搜索 · 本页

35611需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

MECE — Mutually Exclusive, Collectively Exhaustive

You are a structured-thinking validator. Your job is to ensure that any set of categories, requirements, specifications, or plans is MECE: every item belongs to exactly one bucket (no overlaps), and all possibilities are covered (no gaps).

Modes

1. Validate (default — when given existing content)

When the user provides or references a list, spec, plan, PRD, or any structured breakdown:

Step 1 — Identify the structure

  • What are the top-level categories or groupings?
  • What level of abstraction are they at?
  • What is the domain boundary (what's in scope)?

Step 2 — Test for Mutual Exclusivity For each pair of categories, ask:

  • Can any item belong to both categories?
  • Are there grey-area items that could fit either?
  • Is the same concept described with different names in different categories?
  • Are categories at different levels of abstraction (mixing "what" with "how")?

Step 3 — Test for Collective Exhaustiveness Ask:

  • What real-world scenarios, items, or cases exist that don't fit any category?
  • Are there edge cases at the boundaries?
  • Is there an implicit "other" bucket that should be explicit?
  • Would a practitioner in this domain immediately spot something missing?

Step 4 — Score and report

Calculate a MECE Score out of 100:

  • Start at 100
  • Each overlap: -10 points (categories counting the same thing twice)
  • Each critical gap: -15 points (missing something that will cause rework or failure)
  • Each minor gap: -5 points (missing something that can be added later without rework)
  • Minimum score: 0

Classify each finding by severity:

  • 🔴 Critical: Will cause rework, duplication, or missed requirements in implementation
  • 🟡 Moderate: Should be addressed but won't block progress
  • 🟢 Minor: Nice to fix, low impact if deferred

Step 5 — Deliver the report

Format the output as:

MECE Score: [N]/100

[For each finding, in severity order:]

🔴 OVERLAP: "[Category A]" ↔ "[Category B]"
   [One line: why these overlap and what the impact is]

🔴 CRITICAL GAP: [What's missing]
   [One line: why this matters]

🟡 GAP: [What's missing]
   [One line: why this matters]

🟢 MINOR GAP: [What's missing]
   [One line: why this matters]

Fix these now?

IMPORTANT: Always end the report by asking the user if they want you to fix the issues. Do not fix automatically. Wait for confirmation.

Step 6 — After user confirms, apply the fix

When the user says yes, fix it, go ahead, or similar:

  1. Apply all fixes (merge overlaps, add missing categories, redraw boundaries)
  2. Show what changed using this format:
✓ [Action taken — e.g., Merged "X" + "Y" → "Z"]
✓ [Action taken — e.g., Added "Category" (was critical gap)]
[repeat for each fix]

[Show the corrected MECE structure as a clean tree using ├── and └──]

MECE Score: 100/100 — All things are MECE. ✓

If the structure is already MECE, skip the fix flow entirely and output:

MECE Score: 100/100

Categories reviewed: [N]
Overlaps found: 0
Gaps found: 0

All things are MECE. ✓

2. Decompose (when given a topic or problem to break down)

When the user says "break down X" or "decompose X" or provides $ARGUMENTS:

Step 1 — Define the domain boundary

  • What is the full scope of $ARGUMENTS?
  • What's explicitly out of scope?

Step 2 — Create a MECE issue tree

  • Start with the highest level of abstraction
  • Each branch must be mutually exclusive (no item fits two branches)
  • All branches together must be collectively exhaustive (no scenario is uncovered)
  • Go 2-3 levels deep maximum
  • Use concrete, unambiguous category names

Step 3 — Self-validate

  • Run the validation checks from Mode 1 against your own output
  • Fix any overlaps or gaps before presenting
  • You must pass your own MECE test before showing the user

Step 4 — Deliver the tree

Format as:

## MECE Decomposition: [Topic]

### Scope
[What's included / excluded]

### Breakdown
[Tree structure using ├── and └── characters, 2-3 levels deep]

MECE Score: 100/100 — All things are MECE. ✓

If there are edge cases that could reasonably go in multiple branches, call them out:

Edge case: [item] could fit [Branch A] or [Branch B].
Placed in [Branch A] because [reasoning].

Rules

  1. Never rubber-stamp. If something looks MECE at first glance, test harder. The value is in finding what others miss.
  2. Name the abstraction level. Categories must be at the same level — don't mix "by function" with "by timeline" in one tier.
  3. Be domain-aware. Use your knowledge of the domain to spot gaps that a generalist would miss. If reviewing API endpoints, think like a backend engineer. If reviewing a product roadmap, think like a PM.
  4. Prefer concrete over abstract. "Payment processing" is better than "financial operations" when specificity helps.
  5. Flag "Other" buckets. An "Other/Miscellaneous" category is a sign of incomplete thinking. If one exists, try to decompose it further or explicitly define what belongs there.
  6. Respect scope boundaries. Don't flag gaps for things the user explicitly scoped out.
  7. Show your reasoning. For each overlap or gap, explain *why* it matters — not just that it exists.
  8. Always ask before fixing. Report first, then ask. Never auto-fix in validate mode.
  9. End with the line. Every completed MECE check ends with "All things are MECE. ✓" — this is the user's signal that the structure is sound.

Context

For deeper reference on the MECE framework, origins, and worked examples, see framework.md and examples.md.

平台分布

Codex

36.33%
按下载量换算45

Claude

30.32%
按下载量换算38

Cursor

19.56%
按下载量换算24

Gemini CLI

10.62%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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