Repository
yuzhworkhard-wq/image-to-code agent skills
- skill
- 1
- GitHub stars
- 347
GitHub description: “Codex skill for 750px image-to-code reconstruction and transparent PNG slicing”
- Stars
- 347 (43 forks)
- Licence
- MIT
- Last push
- Jun 2026
- Created
- Jun 2026
Install all skills
npx skills add yuzhworkhard-wq/image-to-codeAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in yuzhworkhard-wq/image-to-code, ranked
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | 像素级 750px 图片转代码与高清切图工作流。当 Codex 需要把当前选中的 UI 图片、截图、App/Web 设计稿、Figma 图片导出稿或设计长图转换为代码，并输出独立透明 PNG 切图资源时使用。适用于严格 1:1 等比例还原、画板宽度精确 750px、高清放大切图、防模糊和背景抠除、必要时用 image2/imagegen 抠透明… | yuzhworkhard-wq/ | 347 | — | ~3.7k | Automated safety check: Pass | MIT | 4 mo ago |
Questions, answered from the data.
What is the best skill in yuzhworkhard-wq/image-to-code?
Image To Code from yuzhworkhard-wq/image-to-code ranks first of the 1 skills in yuzhworkhard-wq/image-to-code listed here, with the highest score: its repository has 347 GitHub stars, its SKILL.md loads about 3.7k tokens and it passes the automated safety check with no findings.
Are the skills in yuzhworkhard-wq/image-to-code official?
None yet. All 1 skills in yuzhworkhard-wq/image-to-code 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 yuzhworkhard-wq/image-to-code?
Run npx skills add yuzhworkhard-wq/image-to-code 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.