Repository
fanshouheng/makeup-match-prototype agent skills
- skill
- 1
- GitHub stars
- 116
GitHub description: “隐私优先的妆容博主匹配工具：在浏览器本地分析面部比例，寻找更适合参考的妆容教程。”
- Stars
- 116 (19 forks)
- Licence
- AGPL-3.0
- Last push
- Sep 2026
- Created
- Jul 2026
- Homepage
- makeup.soul.xn--fiqs8s
- beauty-tech
- face-landmarks
- makeup
- mediapipe
- open-source
- privacy-first
- react
- typescript
Install all skills
npx skills add fanshouheng/makeup-match-prototypeAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in fanshouheng/makeup-match-prototype, ranked
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | MAKE UP 项目专属营销工作流。用于营销定位、真实用户研究、小红书或抖音内容实验、创作者合作、渠道分析、上线推广和每周复盘。主动读取项目文件与匿名聚合数据，先区分事实、假设和未知项，再向不熟悉营销的用户提出少量关键问题，并产出或执行一个可验证的下一步；保持免费基础匹配、当前付费 Plus 边界、隐私优先、创作者授权和人工外部操作边界。 | fanshouheng/ | 116 | — | ~1.1k | Automated safety check: Pass | AGPL-3.0 | 22 days ago |
Questions, answered from the data.
What is the best skill in fanshouheng/makeup-match-prototype?
Make Up Marketing from fanshouheng/makeup-match-prototype ranks first of the 1 skills in fanshouheng/makeup-match-prototype listed here, with the highest score: its repository has 116 GitHub stars, its SKILL.md loads about 1.1k tokens and it passes the automated safety check with no findings.
Are the skills in fanshouheng/makeup-match-prototype official?
None yet. All 1 skills in fanshouheng/makeup-match-prototype listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from fanshouheng/makeup-match-prototype?
Run npx skills add fanshouheng/makeup-match-prototype in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.