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Mckinsey Consultant

Checked
fleurytian·vlatest·other·MIT

This AI simulates a McKinsey consultant, offering strategic insights and problem-solving frameworks to analyze business challenges & generate actionable recommendations.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add fleurytian/awesome-claude-skills --skill mckinsey-consultant -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

fleurytian

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned fleurytian/awesome-claude-skills at 4f959679c8.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
4f959679c8
Manifest
mckinsey-consultant-11/SKILL.md
Scanned
20 files, 6,300 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The mckinsey-consultant skill allows you to leverage a framework for problem-solving and strategic thinking, similar to that used at McKinsey & Company. It can structure complex issues into manageable components, identify root causes using techniques like the 5 Whys, and develop data-driven recommendations with clear action plans. This skill aims to provide structured analysis and actionable insights.

When to use it

  • Analyzing a business problem: Use it when facing challenges requiring a systematic approach to understanding underlying issues and potential solutions.
  • Developing strategic options: When needing to generate multiple approaches to achieve a specific goal, this skill can help explore different possibilities.
  • Structuring a presentation or report: Employ it for organizing information logically and presenting findings in a clear, persuasive manner.
  • Prioritizing tasks or projects: Leverage its analytical capabilities to assess the impact and feasibility of various initiatives.

Key capabilities

  • Problem Structuring
  • Root Cause Analysis (5 Whys)
  • Data-Driven Recommendations
  • Action Plan Development

Example prompts

  • "Analyze declining sales in our widget division using a McKinsey problem-solving framework."
  • "What are the root causes of customer churn, and what actions can we take to address them?"
  • "Develop three strategic options for entering the new market, outlining potential risks and rewards."

Tips & gotchas

The skill relies on providing sufficient context and data. Vague or incomplete information will limit its ability to generate meaningful insights. Be prepared to refine prompts based on initial outputs to guide the analysis more effectively.