by nuwa-skills · Claude Skill · ★ 362
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Awesome list of 女娲.skill — 用女娲蒸馏的人物思维框架合集 | Distilled human thinking frameworks for Claude Code
| Stars | 362 |
| Forks | 39 |
| Language | Ruby |
| Category | Claude Skill |
| Quality Score | 59.1653799959007/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-25 |
| Created | 2026-04-11 |
| Platforms | claude-code, ruby |
| Est. Tokens | ~8k |
Looking for a awesome-nuwa alternative? If you're comparing awesome-nuwa with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A curated catalog of human distillliation agent skills
Awesome list of 女娲.skill — 用女娲蒸馏的人物思维框架合集 | Distilled human thinking frameworks for Claude Code
🎯 The definitive collection of 50+ verified Awesome Claude Skills for Claude Code, Claude.ai, and API. Boost
103 ready-to-use AI agent skills for Claude Code, OpenAI Codex, Gemini CLI, Cursor, GitHub Copilot, Windsurf,
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awesome-nuwa is Awesome list of 女娲.skill — 用女娲蒸馏的人物思维框架合集 | Distilled human thinking frameworks for Claude Code. It is categorized as a Claude Skill with 362 GitHub stars.
awesome-nuwa is primarily written in Ruby. It covers topics such as agent-skills, awesome-list, claude-code.
You can find installation instructions and usage details in the awesome-nuwa GitHub repository at github.com/nuwa-skills/awesome-nuwa. The project has 362 stars and 39 forks, indicating an active community.
The top alternatives to awesome-nuwa on Agent Skills Hub include awesome-human-distillation, awesome-nuwa, awesome-claude-skills. 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: