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Mece Compliance Validation

Community
MichaelRochonnn
mece-compliance-validation

验证问题分解清单的MECE(相互独立、完全穷尽)合规性。当已创建问题分解清单、子问题列表或初步问题构成清单,并需要验证其结构是否符合MECE原则时使用此技能。适用于结构层验证,不适用于最终执行方案。

Overview

PublisherMichaelRochonnn
Repositorymckinsey-bcg-consulting
Skill namemece-compliance-validation
Stars
77
Forks
16
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by MichaelRochonnn on GitHub. Read the source before you install it.

Installation

Install the Mece Compliance Validation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/MichaelRochonnn/mckinsey-bcg-consulting/tree/main/mece-compliance-validation
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MichaelRochonnn/mckinsey-bcg-consulting.git /tmp/mckinsey-bcg-consulting
mkdir -p .claude/skills
cp -r /tmp/mckinsey-bcg-consulting/mece-compliance-validation .claude/skills/mece-compliance-validation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mece Compliance Validation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mece Compliance Validation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mece Compliance Validation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

MECE合规性验证

使用时机

  • 已完成初步问题分解
  • 拥有问题构成清单
  • 需要验证清单中各子问题的独立性和完整性
  • 需要处理跨类别的交叉概念

约束条件

  • 仅用于结构层验证
  • 不适用于最终执行方案

验证流程

第一步:相互独立性验证(Mutually Exclusive Check)

检查标准: 审视清单中的每个问题,确认是否都是独立、不同的。

验证方法:

  1. 逐项检查每个问题是否与其他问题存在包含关系
  2. 识别是否存在同一层级的问题实际上是不同层级的内容
  3. 确认每个问题都有独特的问题域,不与其他问题重叠

常见错误识别:

  • 将具体方法与战略目标并列
  • 将子问题与母问题并列
  • 将不同抽象层级的概念混在一起

第二步:完全穷尽性验证(Collectively Exhaustive Check)

检查标准: 确认解决了所有的子问题就能够完全解决母问题,确保无遗漏。

验证方法:

  1. 审查清单覆盖范围是否完整
  2. 识别可能遗漏的问题维度
  3. 评估现有清单是否足以解决母问题

完善原则:

  • 当发现新问题时,优先将其归类到现有类别下
  • 仅在必要时重新设计整个清单结构
  • 避免因添加新问题而破坏原有的MECE结构

第三步:交叉项处理

识别标准: 当一个概念涉及多个维度(如既影响质量又影响成本)时,即为交叉项。

处理方法:

  1. 根据概念的主要目的或影响进行拆分
  2. 将拆分后的条目分别归入相应类别
  3. 确保每个条目在清单中只出现一次

处理原则:

  • 避免重复计数
  • 确保归类位置恰当
  • 保持清单的清晰性和可操作性

验证输出

生成经过验证的MECE合规问题清单,确保:

  • 无重叠项(相互独立)
  • 无遗漏项(完全穷尽)
  • 交叉概念已正确拆分归类

后续行动

验证完成后,问题清单可用于:

  • 进一步的问题分析
  • 制定解决方案
  • 向利益相关者展示问题结构

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Mece Compliance Validation AI skill do?

验证问题分解清单的MECE(相互独立、完全穷尽)合规性。当已创建问题分解清单、子问题列表或初步问题构成清单,并需要验证其结构是否符合MECE原则时使用此技能。适用于结构层验证,不适用于最终执行方案。

Why use Mece Compliance Validation on TypingMind?

Because you install it once and use it with any model. Mece Compliance Validation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mece Compliance Validation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MichaelRochonnn/mckinsey-bcg-consulting/tree/main/mece-compliance-validation. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Mece Compliance Validation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mece Compliance Validation?

As many as you like. As long as a model supports skills, you can use Mece Compliance Validation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mece Compliance Validation AI skill free?

It is published on GitHub by MichaelRochonnn. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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