by likaku · Claude Skill · ★ 297
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Mck-ppt-design-skill safe to install? View the security audit →
McKinsey PPT Design Skill AI-native PowerPoint design system — 70 layouts · BLOCKARC chart engine · Python runtime English · 中文说明 Community WeChat Group / 微信交流群 Discord Click above to join ⚡ v1.x → v2.0 — What's Changed and Why v2.0 is a direct response to community feedback: v1.x consumes too many tokens on chart-heavy decks. We rewrot
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 →
| Stars | 297 |
| Forks | 38 |
| Language | Python |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 65/100 |
| Open Issues | 3 |
| Last Updated | 2026-05-10 |
| Created | 2026-03-03 |
| Platforms | claude-code, python |
| Est. Tokens | ~16k |
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Mck-ppt-design-skill is Consulting firm-style PowerPoint design system for AI agents. 70 layout patterns, flat design, python-pptx. 麦麸风格PPT设计系统。. It is categorized as a Claude Skill with 297 GitHub stars.
Mck-ppt-design-skill is primarily written in Python. It covers topics such as agent-skill, ai-skill, ai-skills.
You can find installation instructions and usage details in the Mck-ppt-design-skill GitHub repository at github.com/likaku/Mck-ppt-design-skill. The project has 297 stars and 38 forks, indicating an active community.
Mck-ppt-design-skill is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Mck-ppt-design-skill on Agent Skills Hub include slides_maker, mckinsey-pptx, thesis-defense-pptx-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: