Repository
JochenYang/luma-mcp agent skills
- skill
- 1
- GitHub stars
- 115
GitHub description: “多模型视觉理解 MCP 服务器，为不支持图片理解的 AI 编码模型提供视觉能力：分析截图、报错、UI 与文档，可接入多家主流视觉大模型。Multi-model vision MCP server that adds image understanding to AI coding models without native vision — analyze screenshots, errors, UI and documents via major vision LLM providers.”
- Stars
- 115 (12 forks)
- Licence
- MIT
- Last push
- Aug 2026
- Created
- Nov 2025
- image-understanding
- mcp
- mcp-server
- model-context-protocol
- vision
Install all skills
npx skills add JochenYang/luma-mcpAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in JochenYang/luma-mcp, ranked
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Calls an external vision model through vision.js to analyze an image when the user explicitly invokes /skill luma-vision, for agents whose own model cannot see images. | JochenYang/ | 115 | — | ~295 | Automated safety check: Pass | MIT | 2 mo ago |
Questions, answered from the data.
What is the best skill in JochenYang/luma-mcp?
Luma Vision Image Analysis from JochenYang/luma-mcp ranks first of the 1 skills in JochenYang/luma-mcp listed here, with the highest score: its repository has 115 GitHub stars, its SKILL.md loads about 295 tokens and it passes the automated safety check with no findings.
Are the skills in JochenYang/luma-mcp official?
None yet. All 1 skills in JochenYang/luma-mcp 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 JochenYang/luma-mcp?
Run npx skills add JochenYang/luma-mcp 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.