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Mckinsey Style Visualization

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kgraph57·vlatest·data·MIT

Generates visually compelling, McKinsey-style frameworks & diagrams to structure complex data and insights for clear communication.

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This skill no longer installs under the name mckinsey-style-visualization. kgraph57/mckinsey-style-visualization-skill has no skill named "mckinsey-style-visualization" any more. It was renamed, moved or deleted upstream.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-19. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

kgraph57

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 7 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: content.rolandberger.com, www.bain.com, www.bcg.com, www.mckinsey.com, www.oliverwyman.com….

    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.

    Hosts contacted

    www.w3.orgstandardswww.mckinsey.comundeclaredwww.bain.comundeclaredwww.bcg.comundeclaredwww.strategyand.pwc.comundeclaredwww.rolandberger.comundeclaredcontent.rolandberger.comundeclaredwww.oliverwyman.comundeclared

    What it found (3 of 9)

    • docs/site/artifacts/research/consulting-reference-evidence.json:12contacts www.mckinsey.com
      "url": "https://www.mckinsey.com/mgi/our-research/investing-in-productivity-growth",
    • docs/site/artifacts/research/consulting-reference-evidence.json:37contacts www.bain.com
      "url": "https://www.bain.com/globalassets/about/2023-global-pe-report---roadshow-deck.pdf",
    • docs/site/artifacts/research/consulting-reference-evidence.json:75contacts www.bcg.com
      "url": "https://www.bcg.com/ja-jp/assets/2026/annual-sustainability-report-slideshow-2025.pdf",

  • 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 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 kgraph57/mckinsey-style-visualization-skill at 49d1370ba2.

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

Commit
49d1370ba2
Manifest
SKILL.md
Scanned
60 files, 7,412 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

This skill generates visualizations in the style of McKinsey & Company, known for their clear and impactful data presentations. It transforms raw data into visually appealing charts and graphs suitable for executive summaries and strategic reports. The output emphasizes clarity and concise communication of key insights.

When to use it

  • Presenting financial performance data to stakeholders.
  • Creating a visual summary of market research findings.
  • Illustrating trends in customer behavior or sales figures.
  • Developing presentations for internal teams requiring clear data visualization.

Key capabilities

  • Generates McKinsey-style charts and graphs.
  • Focuses on clarity and concise communication.
  • Suitable for executive summaries and strategic reports.

Example prompts

  • "Create a McKinsey-style chart showing sales growth over the last five years."
  • "Generate a visualization comparing market share across different competitors, in a McKinsey style."
  • "Can you produce a McKinsey-style graph illustrating customer satisfaction scores by product line?"

Tips & gotchas

The quality of the output depends heavily on the clarity and structure of the input data. Ensure your data is well-organized and labeled for optimal results.