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Effective Presentation Communication

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MichaelRochonnn
effective-presentation-communication

掌握麦肯锡风格的汇报和沟通技巧,包括根据思维类型选择汇报结构、管理听众注意力、制作清晰有效的图表。适用于需要向客户或管理层汇报、制作演示材料或进行正式沟通的场景。

Overview

PublisherMichaelRochonnn
Repositorymckinsey-bcg-consulting
Skill nameeffective-presentation-communication
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 Effective Presentation Communication 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/effective-presentation-communication
  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/effective-presentation-communication .claude/skills/effective-presentation-communication
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Effective Presentation Communication 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 Effective Presentation Communication 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 Effective Presentation Communication 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.

有效汇报与沟通

使用时机

当面临以下情况时应用此技能:

  • 需要向客户或管理层汇报
  • 制作商业演示图表
  • 发现听众提前翻阅材料
  • 需要根据个人思维风格选择汇报结构
  • 制作咨询报告或客户交流材料

汇报结构选择

评估个人思维类型

类型A(结构化思维):

  • 自然倾向于循序渐进
  • 使用逻辑树和MECE原则
  • 适合麦肯锡方法

类型B(直觉型思维):

  • 具有"敏锐的洞察力和直觉"
  • 思维不是特别有条理

选择匹配的结构

麦肯锡结构(适用于结构化思维):

  • 采用"循序渐进"的线性流程
  • 确保每一步逻辑严密衔接

替代结构(适用于直觉型思维):

  1. 开场即明确陈述核心结论(告诉他们你要告诉他们什么)
  2. 在汇报主体中多次重复和强化关键信息(反复强调)
  3. 结尾再次总结核心要点,形成记忆锚点

重要原则:不要强行使用"不对劲儿"的结构,即使它是麦肯锡的标准方法

听众管理策略

识别问题行为

观察听众是否具有以下行为模式:

  • 在汇报开始时立即"从头翻到尾"浏览全部内容
  • 在剩余会议时间中保持沉默
  • 破坏了"循序渐进"的汇报节奏

物理约束法

适用场景:

  • 团队最后一次关键汇报
  • 面对已知具有此习惯的特定决策者
  • 需要强制线性信息接收的场合

实施步骤:

  1. 使用"蓝皮书"或类似正式装订材料
  2. 将所有的页都订在一起,确保无法再翻了
  3. 递交时说明:"为了确保我们能按逻辑顺序共同探讨,我将材料装订在一起"
  4. 配合口头强调"我们会逐步分析每个要点"

风险考量:此方法为针对性解决方案,可能被视为对听众的不信任,需权衡关系影响

图表制作原则

核心目的

  • 将图表视为传递信息的方式,而非艺术品
  • 图表越复杂,传递信息的效果越差
  • 事情越简单,图表越容易理解

视觉设计规范

颜色:通常采用黑色和白色印刷

维度:除非绝对有必要,基本不采用三维制图

原因:媒介不能压过信息,避免使用让人分心的颜色和有迷惑性的三维图像

内容组织原则

一图明一事:

  • 坚持每张图只传达一个核心信息
  • 确保信息清晰

元数据标注

资料来源:

  • 在每张图的左下角标注资料来源
  • 例如:"ACME公司年度汇报"

原因:

  • 当被问及信息出处时可以回答
  • 便于未来回顾数据时查找来源

数量控制

简明原则:

  • 尽可能简明阐述观点
  • 避免使用太多图表

原因:太多的图表会让听众生厌,导致听众听不进去最后十几页的汇报

关键变量

  • 思维类型:structured_intuitive(结构化直觉型)或 linear_analytical(线性分析型)
  • 结构适配度:1-10分,评估个人舒适度与结构要求的匹配程度
  • 听众类型:高级经理或其他具有提前翻阅习惯的决策者
  • 图表内容:图表需要传达的核心信息或数据

输出成果

选定并执行与个人思维方式兼容的汇报结构,制作简洁、清晰、有效的图表,确保汇报者能够自然流畅地表达,听众能够跟随汇报节奏接收信息。

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 Effective Presentation Communication AI skill do?

掌握麦肯锡风格的汇报和沟通技巧,包括根据思维类型选择汇报结构、管理听众注意力、制作清晰有效的图表。适用于需要向客户或管理层汇报、制作演示材料或进行正式沟通的场景。

Why use Effective Presentation Communication on TypingMind?

Because you install it once and use it with any model. Effective Presentation Communication 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 Effective Presentation Communication in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MichaelRochonnn/mckinsey-bcg-consulting/tree/main/effective-presentation-communication. 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 Effective Presentation Communication?

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 Effective Presentation Communication?

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

Is the Effective Presentation Communication 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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