Mckinsey Style Visualization
If you need to make boardroom-ready charts that don't look like startup pitch decks, this handles the whole McKinsey aesthetic: hypothesis-driven headlines, specific color palettes with hex codes, typography rules for serif titles and sans-serif data labels, and templates for 11 visualization types from time-series growth charts to gap analyses. It's opinionated about landscape 16:9 format, hairline borders, and strategic framing over neutral comparisons. The documentation is thorough on what not to do, which is half the value. Honestly feels like someone reverse-engineered consulting slide decks and wrote down all the unspoken rules. Works well if your audience expects that institutional authority look or if you're just tired of guessing what "professional" actually means.
- install copies · 90 days. Times the install command was copied on this site in the last 90 days, bots filtered.
- 6
- skills.sh installs
- 153
- GitHub stars
- 173
- last updated
- Aug 21, 2026
Install
$ npx -y skills add kgraph57/mckinsey-style-visualization-skill --skill mckinsey-style-visualization --agent claude-codeInstalls into .claude/skills of the current project.
Files
If you need to make boardroom-ready charts that don't look like startup pitch decks, this handles the whole McKinsey aesthetic: hypothesis-driven headlines, specific color palettes with hex codes, typography rules for serif titles and sans-serif data labels, and templates for 11 visualization types from time-series growth charts to gap analyses. It's opinionated about landscape 16:9 format, hairline borders, and strategic framing over neutral comparisons. The documentation is thorough on what not to do, which is half the value. Honestly feels like someone reverse-engineered consulting slide decks and wrote down all the unspoken rules. Works well if your audience expects that institutional authority look or if you're just tired of guessing what "professional" actually means.
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- Repository
- github.com/kgraph57/mckinsey-style-visualization-skill
- Categories
- Code Review & Quality, AI & Agent Building, Data Science & ML, Design & UI/UX, Office & Documents, Finance & Trading
- First seen
- Jun 3, 2026
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