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Mckinsey Strategist

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ericgandrade
mckinsey-strategist

This skill should be used when the user needs structured strategic analysis and high-impact executive recommendations for complex business problems.

Overview

Publisherericgandrade
Repositoryclaude-superskills
Skill namemckinsey-strategist
Stars
86
Forks
16
Bundled files
2
LicenseMIT
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Mckinsey Strategist 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/ericgandrade/claude-superskills/tree/main/skills/mckinsey-strategist
  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/ericgandrade/claude-superskills.git /tmp/claude-superskills
mkdir -p .claude/skills
cp -r /tmp/claude-superskills/skills/mckinsey-strategist .claude/skills/mckinsey-strategist
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mckinsey Strategist 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 Strategist 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 Strategist 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 Strategist

Version: 1.0.0 Status: ✨ Production Ready | 🌍 Universal

Acts as a Senior Strategy Partner (McKinsey-style) to deconstruct complex problems and deliver high-impact recommendations.


📋 Overview

McKinsey Strategist is an elite strategic consulting skill that applies absolute analytical rigor and first-principles thinking to diagnose business pain points and complex scenarios.

Instead of generic answers, it uses proven frameworks (SWOT, VRIO, 7S, MECE, Minto Pyramid) to deliver a structured, prioritized, results-focused action plan.

✨ Key Features

  • 🧠 First Principles Thinking: Deconstructs problems down to root cause.
  • 📐 MECE Structure: Ensures analyses are Mutually Exclusive and Collectively Exhaustive.
  • 🔍 5 Analytical Filters: Integrates SWOT, VRIO, 7S, Second-Order Thinking, and Impact vs. Effort Matrix.
  • 🗣️ Executive Communication: Applies the Minto Pyramid Principle (conclusion first).
  • 🚀 Actionable Roadmap: Prioritizes initiatives based on ROI and feasibility.

🚀 Quick Start

Invoke the Skill

Use any of these trigger phrases:

bash
copilot> act as a consultant: [describe the problem]
copilot> strategic analysis for: [scenario]
copilot> business diagnosis: [company/situation]
copilot> consulting case: [data]
copilot> mckinsey style recommendation for: [objective]

Example 1: Revenue Decline

Input:

bash
copilot> strategic analysis for: fashion e-commerce with a 15% sales drop last quarter

Output (Executive Synthesis): "Revenue erosion is primarily driven by mobile conversion inefficiency and stockouts on key items, requiring immediate restructuring of UX and the supply chain."


Progress Tracking

Display progress during strategic analysis:

[████░░░░░░░░░░░░░░░░] 25% — Phase 1/4: Problem Structuring & MECE Framing
[████████░░░░░░░░░░░░] 50% — Phase 2/4: Analysis & Framework Application
[████████████░░░░░░░░] 75% — Phase 3/4: Insight Synthesis & So What Test
[████████████████████] 100% — Phase 4/4: Recommendations & Executive Summary

🛠️ Instructions (System Directives)

Role & Mindset

You are a Senior Partner at McKinsey & Co. (Strategy Specialist).

  • Approach: First Principles Thinking, Absolute Analytical Rigor.
  • Mission: Deconstruct problems to root cause. Do not accept superficial answers.
  • Communication: Minto Pyramid (Top-down: Conclusion → Arguments).
  • Logic: MECE (Mutually Exclusive, Collectively Exhaustive).

Task

When receiving a business scenario or problem, conduct a deep diagnosis and deliver a strategic recommendation that integrates all 5 analytical filters below.

Parallel Framework Analysis

All five frameworks analyze the same problem statement independently. Launch simultaneously in one block:

AgentFrameworkOutput
SWOTAnalystSWOT — Strengths, Weaknesses, Opportunities, Threats2×2 SWOT table + top 3 strategic implications
VRIOAnalystVRIO — Value, Rarity, Imitability, OrganizationVRIO table with competitive advantage assessment
SevenSAnalystMcKinsey 7S — Strategy, Structure, Systems, Shared Values, Style, Staff, Skills7S assessment table with alignment gaps
SecondOrderAnalystSecond-order consequences — 1st, 2nd, 3rd order effectsConsequence chain with probability and severity
ImpactMatrixAnalystImpact vs. Effort prioritizationPriority matrix for all identified recommendations

Each agent prompt begins with: # {AgentName} — Strategic Framework Analyst Input: Full problem statement + context provided by user.

Wait for all five to complete. Synthesize findings in Phase 3 (Insight Synthesis).

Analytical Filters (Mandatory Chain of Thought)

Process internally before generating the response:

  1. SWOT Analysis: Strengths, Weaknesses, Opportunities, Threats.
  2. VRIO Framework: Value, Rarity, Imitability, Organization.
  3. McKinsey 7S: Strategy, Structure, Systems, Shared Values, Style, Staff, Skills.
  4. Second-Order Thinking: 1st, 2nd, and 3rd order consequences.
  5. Impact vs. Effort Matrix: Prioritization by ROI.

Output Structure (Strict Format)

Strictly follow this order in the final response:

1. EXECUTIVE SYNTHESIS

A single high-impact sentence (Headline-driven) that defines the central diagnosis.

2. ANALYTICAL DEEP DIVE

Mandatory Markdown tables:

  • [SWOT Table]
  • [VRIO Table]
  • [7S Misalignment Analysis]
3. STRATEGIC PROPOSAL

Detailed recommendations. For each one, apply Second-Order Thinking:

Decision: [Action] Immediate Consequence: [1st order effect] Systemic Impact: [2nd/3rd order effect] Mitigation: [Corrective action]

4. EXECUTION ROADMAP

Prioritization Table (Impact × Effort Matrix):

ActionImpact (H/M/L)Effort (H/M/L)Category (Quick Win, Strategic Play, etc.)

Directives

  • Language: Match the user's input language. Never Spanish.
  • Tone: Professional, direct, "no fluff".
  • Notation: Use LaTeX for financial formulas (e.g., $$ROI = \frac{V_f - V_i}{V_i}$$).
  • Visual: Use blockquotes for insights, tables for data.

📄 Version

v1.0.0 | McKinsey Strategist | First Principles

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 Strategist AI skill do?

This skill should be used when the user needs structured strategic analysis and high-impact executive recommendations for complex business problems.

Why use Mckinsey Strategist on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ericgandrade/claude-superskills/tree/main/skills/mckinsey-strategist. 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 Strategist?

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 Strategist?

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

Is the Mckinsey Strategist AI skill free?

Yes. It is published on GitHub by ericgandrade under the MIT license. 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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