mckinsey-consultant

Generates McKinsey-style research reports and PPT decks from business problems using hypothesis-driven analysis.

47|12|Updated Feb 7, 2026
One-click install
npx skills add https://github.com/Kafurtan/mckinsey-consultant-skills --skill mckinsey-consultant-kafurtan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mckinsey-consultant
Source: https://github.com/Kafurtan/mckinsey-consultant-skills
Command: npx skills add https://github.com/Kafurtan/mckinsey-consultant-skills --skill mckinsey-consultant-kafurtan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Turning a vague business question into a structured, consultant-grade research report normally takes days of manual framework building, data gathering, and slide design. This Skill systematizes the McKinsey Problem Solving methodology into an 8-step workflow that goes from problem definition to a finished McKinsey-style PPT with a sourced Excel data file. ## Core Features & Use Cases - Hypothesis-Driven Analysis: Defines problem boundaries (Is & Isn't), builds MECE Issue Trees, and forms verifiable Hypothesis Trees with quick web searches. - Dummy Page Design: Plans every slide in advance using 7 McKinsey layout types, design specs (colors, typography, information density), and page dependency annotations that support cross-conversation resumption. - Page-by-Page Generation: Collects data via web search, records sources in a structured Excel file, generates each PPT page, self-checks quality, and iterates based on feedback. - Use Case: Ask it to analyze growth drivers in China's EV charging market; it produces an Issue Tree, hypotheses, a 16-25 page McKinsey-style deck, and a sourced data workbook in about 90-110 minutes. ## Quick Start Use the mckinsey-consultant skill to analyze the growth and opportunities in China's new energy vehicle market and produce a McKinsey-style PPT report.

Frequently Asked Questions about mckinsey-consultant

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a McKinsey-style PPT from a business problem?

State your business question and the skill runs an 8-step workflow: problem definition, MECE issue tree, hypothesis formation, dummy page design, then page-by-page data collection and slide generation. The full process takes about 90-110 minutes and yields a 15-25 page deck.

What is a dummy page in consulting slide design?

A dummy page is a detailed slide plan specifying the argument-style title, layout type, chart type, exact data needs, and sources before any data is collected. This skill generates a complete Dummy.md file so slides can be produced consistently, even across separate conversations.

Can I resume PPT generation in a new conversation?

Yes. Upload the Dummy.md file plus any completed PPT and Excel files, and specify which page to continue from. Each page carries dependency annotations so the skill checks prerequisites before generating.

Does the skill verify the data used in the slides?

Yes. Every quantitative data point is recorded in an Excel workbook with source URLs, collection dates, quality grades, and confidence levels. Key figures are cross-validated across two to three sources, and estimates are explicitly labeled with their calculation method.

Why do dark blue slide headers sometimes have invisible text?

This happens when text color is not forced to white on dark blue backgrounds. The skill enforces a rule that any primary or secondary blue background must use white text, and runs a post-generation check to fix violations.

What are the limitations of this analysis approach?

Data quality depends on publicly available web sources, so proprietary market data may be missing and recent figures may rely on estimates. Very large decks beyond roughly 25 pages may still strain context, and the output requires user review rounds to reach final quality.