Mckinsey Bcg Consulting logo

Mckinsey Bcg Consulting

Community
MichaelRochonnn
mckinsey-bcg-consulting

Use this skill as a router and knowledge graph for McKinsey/BCG-style consulting methods. Use when the user asks for structured problem solving, MECE issue trees, hypothesis-driven analysis, strategy, operations, execution, stakeholder management, consulting communication, proposals, high-pressure corporate navigation, professional-service career development, or applying multiple consulting frameworks together.

Overview

PublisherMichaelRochonnn
Repositorymckinsey-bcg-consulting
Skill namemckinsey-bcg-consulting
Stars
77
Forks
16
Bundled files
32
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.

  • 32 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 Mckinsey Bcg Consulting 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
  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 \
  .claude/skills/mckinsey-bcg-consulting
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mckinsey Bcg Consulting 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 Bcg Consulting 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 Bcg Consulting 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.

McKinsey & BCG Consulting Skill Library

This is the hub skill for the consulting-method library. It coordinates 75 focused sub-skills from the two source libraries:

  • 麦肯锡方法
  • 麦肯锡 & 波士顿 - 解决问题方法和创造价值技巧

Use this hub when the user describes a broad business, strategy, execution, communication, or career problem and may need more than one framework.

Operating Rule

First classify the user's request, then load only the needed child skill files. Do not load every sub-skill.

  1. Identify the situation type: problem solving, research, strategy, communication, execution, people dynamics, operations, growth, or career.
  2. Select 1-4 child skills from the routing table below.
  3. Read each selected child SKILL.md; read its references/ files only if the child skill points to a needed example/template.
  4. Apply the frameworks to the user's concrete context. State assumptions, separate facts from hypotheses, and avoid presenting framework labels as a substitute for judgment.
  5. For complex work, produce an actionable consulting output: issue tree, hypotheses, evidence plan, recommendation, execution plan, stakeholder plan, or decision memo.

Quick Routing

Use these as the first-pass entry points:

User needStart withOften combine with
Define a fuzzy business problemmckinsey-problem-solving-methodologymckinsey-issue-tree-structuring, mece-compliance-validation
Build an issue tree or analysis structurestructured-problem-solving-mckinseymckinsey-issue-tree-structuring, key-driver-analysis
Validate MECE logicmece-compliance-validationmckinsey-problem-solving-methodology-2
Prioritize many initiativesimpact-speed-prioritization-matrixpareto-analysis-resource-optimization, work-prioritization
Analyze market strategy3c-analysis-overlap-dynamicsexternal-forces-analysis, dynamic-strategic-positioning
Analyze data without false correlation trapshypothesis-driven-data-analysisfact-creation-methodologies, fact-based-research-mckinsey
Prepare a client or executive presentationconsulting-proposal-structuresmckinsey-communication-principles, effective-presentation-communication
Run interviews or gather factsexpert-interviewing-mckinseyinterview-techniques, mckinsey-research-methodology
Move from recommendation to implementationmckinsey-project-lifecycleproject-execution-management, change-management-implementation, implementation-scaling-motivation-strategy
Improve operations or manufacturingqcd-issue-tree-production-analysistoyota-stop-valve-protocol, process-standardization-for-leverage
Manage stakeholders or client buy-inconsulting-client-engagementdifficult-stakeholder-management, esg-stakeholder-management
Build or manage a consulting teamteam-facilitation-mckinseyteam-management-and-mobilization, team-cohesion-management
Improve personal consulting effectivenessmckinsey-professional-principlesmotivation-flow-state-management, left-right-brain-connectivity
Navigate career or organization politicsmckinsey-organization-dynamicsactive-mentor-finding-management, career-expectation-management

Reference Navigation

  • Read references/knowledge-graph.md when you need the full domain map and dependency graph.
  • Read references/skill-index.md when you need the complete list of child skills and their best-use cases.
  • Read references/workflow-compositions.md when the task spans multiple phases and you need a recommended multi-skill sequence.

Output Standards

Default to a concise consulting work product:

  • Situation: the decision or problem in one paragraph.
  • Structure: issue tree, options, or decision matrix.
  • Analysis: facts, hypotheses, risks, and unknowns.
  • Recommendation: the highest-leverage action with rationale.
  • Next steps: owner, timing, evidence to collect, and stakeholder moves.

When the user asks for brainstorming, facilitation, interview scripts, proposal pages, project plans, or career coaching, adapt the output format to that artifact.

Guardrails

  • Use these frameworks as professional heuristics, not as proof of correctness.
  • Do not invent proprietary McKinsey or BCG claims. If a point is inferred from the local library, say it as a framework-derived recommendation.
  • Prefer the user's real constraints over textbook completeness.
  • If the task is high-stakes, call out what should be verified with current data, legal/financial advice, or primary sources.

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 Mckinsey Bcg Consulting AI skill do?

Use this skill as a router and knowledge graph for McKinsey/BCG-style consulting methods. Use when the user asks for structured problem solving, MECE issue trees, hypothesis-driven analysis, strategy, operations, execution, stakeholder management, consulting communication, proposals, high-pressure corporate navigation, professional-service career development, or applying multiple consulting frameworks together.

Why use Mckinsey Bcg Consulting on TypingMind?

Because you install it once and use it with any model. Mckinsey Bcg Consulting 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 Bcg Consulting in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MichaelRochonnn/mckinsey-bcg-consulting/tree/main. 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 Mckinsey Bcg Consulting?

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 Bcg Consulting?

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

Is the Mckinsey Bcg Consulting 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇