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Mckinsey Communication Principles

Community
MichaelRochonnn
mckinsey-communication-principles

在商业咨询或专业服务场景中,构建和传递有效的解决方案汇报,确保客户接受并推动实施。适用于需要向客户展示分析成果、争取认可、推动变革的任何正式或非正式汇报场景。

Overview

PublisherMichaelRochonnn
Repositorymckinsey-bcg-consulting
Skill namemckinsey-communication-principles
Stars
77
Forks
16
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Mckinsey Communication Principles 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/mckinsey-communication-principles
  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/mckinsey-communication-principles .claude/skills/mckinsey-communication-principles
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mckinsey Communication Principles 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 Mckinsey Communication Principles 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 Mckinsey Communication Principles 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.

麦肯锡解决方案推介与沟通原则

何时使用

以下情境必须启动结构化汇报流程:

  • 已完成解决方案制定,需要获得客户认可
  • 需要推动方案实施,而非仅交付研究报告
  • 存在信息传递需求,需要向客户或团队阐述观点
  • 职位晋升后需要增加观点阐述时间投入

核心原则

即使是最周密研究、最全面分析、最完美无瑕结构的解决方案,如果客户不"购买"(不接受、不认可),都是一文不值的。

解决方案必须被主动"推介出去"才能产生实际商业价值。

有效信息的三个关键因素

在构建任何汇报内容前,强制检查:

1. 简洁原则

  • 只包括受众需要知道的要点
  • 在说或写之前思考
  • 把信息缩减到受众需要知道的三四点
  • 有必要的话,把这些都写在纸上
  • 注意:口头交流中的简洁比书面沟通更困难

2. 全面原则

  • 包括受众需要知道的所有要点
  • 不要给受众留有悬念
  • 确保信息完整,避免遗漏重要内容

3. 系统原则

  • 有能将这些要点清晰传递给受众的结构
  • 即便只是一页电子邮件或30秒语音留言,也需要简单结构
  • 按重要性顺序排列问题

示例结构:

我们有三个问题,按重要性的顺序依次为:

  1. 我们的装饰品价格过高
  2. 我们的销售队伍办事不力
  3. 我们的装饰品厂刚刚遭到意外的破坏

注意事项:不要过度系统化(如按公司结构列采购清单)

汇报形式选择

形式适用场景核心材料参与人员
正式汇报重要里程碑、最终交付精美的蓝皮书(标准报告)会议室圆桌会议,关键决策者
非正式汇报早期更新、快速同步钉在白板上的几幅图表几个客户经理和咨询顾问的小型会议

推介执行流程

第一步:价值实现前提确认

  • 确认客户"购买"是价值实现的前提
  • 区分"研究完成"与"成功推介"

第二步:形式选择与准备

  • 根据受众规模和正式程度选择载体
  • 准备相应材料(蓝皮书或白板图表)

第三步:信息传递技术应用

  • 结构化表达
  • 图表展示
  • 逻辑梳理
  • 故事线构建

核心目标:把你的思想传递给听众

第四步:内部沟通与利益相关者管理

  • 确保团队中的每个人都能"掌握信息"
  • 与好相处的成员打交道
  • 应对棘手的"钉子户"型团队成员或客户

第五步:变革推动准备

  • 汇报内容包含可执行的实施路径
  • 为客户从"接受方案"到"实施变革"提供清晰行动指引

职业发展维度

随着职位级别升迁,必须花费大量时间向其他人阐述自己的观点。推介与沟通能力是职业晋升后的核心工作内容,而非仅专注于研究分析。

关键检查清单

  • 信息是否满足简洁、全面、系统三个标准?
  • 汇报形式是否匹配受众规模和正式程度?
  • 团队内部信息是否已同步?
  • 是否包含可执行的实施路径?
  • 是否准备好应对"钉子户"型利益相关者?

Frequently asked questions

What does the Mckinsey Communication Principles AI skill do?

在商业咨询或专业服务场景中,构建和传递有效的解决方案汇报,确保客户接受并推动实施。适用于需要向客户展示分析成果、争取认可、推动变革的任何正式或非正式汇报场景。

Why use Mckinsey Communication Principles on TypingMind?

Because you install it once and use it with any model. Mckinsey Communication Principles 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 Mckinsey Communication Principles in TypingMind?

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

Which AI models can use Mckinsey Communication Principles?

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 Mckinsey Communication Principles?

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

Is the Mckinsey Communication Principles 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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