A McKinsey-style problem-solving system. Starting from a business problem, it uses hypothesis-driven structured analysis to generate McKinsey-style research reports and PPTs. It integrates Problem Solving methodology, MECE principle, Issue Tree breakdown, Hypothesis formation, Dummy Page design, intelligent data collection, and professional PPT generation.
The fleurytian/mckinsey-consultant skill is an AI agent skill designed to emulate the McKinsey consulting approach for business problem solving. It guides users through a structured, hypothesis-driven analysis process, starting from a business problem and culminating in McKinsey-style research reports and PPT decks. The skill integrates core consulting methodologies such as the MECE principle for issue decomposition, Issue Tree breakdown for structured problem structuring, and Hypothesis formation for guided analysis. It also supports Dummy Page design for PPT storyboarding, intelligent data collection to gather relevant information, and professional PPT generation. This skill is particularly useful for developers, product managers, and business analysts who need to apply a rigorous, consulting-grade framework to strategic problems. It is designed to work with AI agents like Claude Code or Cursor, leveraging their capabilities to produce structured, high-quality business deliverables.
npx skills add https://github.com/fleurytian/awesome-claude-skills/tree/main/skills/mckinsey-consultantInstalled? Explore more Coding & Development skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
McKinsey-style problem-solving system. Starting from a business problem, it uses hypothesis-driven structured analysis to generate McKinsey-style research reports and PPTs. It integrates Problem Solving methodology, MECE principle, Issue Tree breakdown, Hypothesis formation, Dummy Page design, intelligent data collection, and professional PPT generation.
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