No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by kgraph57 · Claude Skill · ★ 65
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Strategy Consulting Visualization Skill English | 日本語 Marketplace-ready Agent Skill that turns messy notes, metrics, and prose into executive-ready visualizations — board slides, reports, proposals, training materials, technical diagrams, and infographics — with a built-in renderer that produces real SVG slides. Distribution Status This repository is now packaged for distribution testing: Marketplace listing draft Marketplace target list Launch kit Submission copy Distribution kit Commercialization plan Buyer brief Traction tracker Growth playbook Security policy Roadmap 30-Second Quickstart Install t
| Stars | 65 |
| Forks | 15 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 67.5699634445734/100 |
| Open Issues | 4 |
| Last Updated | 2026-08-12 |
| Created | 2026-02-14 |
| Platforms | claude-code, python |
| Est. Tokens | ~19k |
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mckinsey-style-visualization-skill is Agent Skill that turns messy notes into rendered strategy-consulting visuals, with SVG examples and validation.. It is categorized as a Claude Skill with 65 GitHub stars.
mckinsey-style-visualization-skill is primarily written in Python. It covers topics such as agent-skills, ai-agents, board-slides.
You can find installation instructions and usage details in the mckinsey-style-visualization-skill GitHub repository at github.com/kgraph57/mckinsey-style-visualization-skill. The project has 65 stars and 15 forks, indicating an active community.
mckinsey-style-visualization-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mckinsey-style-visualization-skill on Agent Skills Hub include claudepro-directory, awesome-ai-agent-skills, agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.