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 likaku · Claude Skill · ★ 246
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
| Stars | 246 |
| Forks | 33 |
| Language | Python |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 64.8904734006594/100 |
| Open Issues | 4 |
| Last Updated | 2026-05-10 |
| Created | 2026-03-03 |
| Platforms | claude-code, python |
| Est. Tokens | ~69k |
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🎨 World-class AI presentation generator · 26 styles · 18 charts · benchmarked against Linear/Anthropic/Stripe
A code-driven presentation generation framework. 像构建软件工程一样生成演示文稿。
Explore other popular claude skill tools:
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 246 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 246 stars and 33 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.