设计与多媒体

image-to-code

leonxlnx/taste-skill

Moved to github.com/Leonxlnx/imagegen-skills. Runs only when called by name.

  • 38.6万 次安装
  • 10.6万 星标
  • 收录于

安装命令

npx skills add https://github.com/leonxlnx/taste-skill --skill image-to-code

要点

Premium website design-to-code skill that generates visual references first, then builds faithful frontend implementations.

  • Enforces image-first workflow: generates section-specific design images before any code, with separate large images per section in Codex to preserve readability and extraction quality
  • Includes deep design analysis rules covering typography, spacing, color, buttons, components, and layout logic extracted directly from generated references
  • Eliminates common AI defaults: removes nested-box clutter, reduces micro-UI pills and fake labels, keeps hero sections clean and readable on small laptops, avoids cards-inside-cards patterns
  • Provides 38 operational directives covering visual direction (theme, typography, hero architecture, component sets), anti-drift implementation discipline, and multi-image consistency enforcement
  • Regenerates unclear sections as fresh standalone images rather than cropping, and generates additional detail images whenever that improves text readability or component analysis

SKILL.md

image-to-code (moved)

This skill now lives in its own repository, with the other image-generation skills: https://github.com/Leonxlnx/imagegen-skills

The install name did not change:

npx skills add https://github.com/Leonxlnx/imagegen-skills --skill "image-to-code"

Premium website design-to-code skill that generates visual references first, then builds faithful frontend implementations.

  • Enforces image-first workflow: generates section-specific design images before any code, with separate large images per section in Codex to preserve readability and extraction quality
  • Includes deep design analysis rules covering typography, spacing, color, buttons, components, and layout logic extracted directly from generated references
  • Eliminates common AI defaults: removes nested-box clutter, reduces micro-UI pills and fake labels, keeps hero sections clean and readable on small laptops, avoids cards-inside-cards patterns
  • Provides 38 operational directives covering visual direction (theme, typography, hero architecture, component sets), anti-drift implementation discipline, and multi-image consistency enforcement
  • Regenerates unclear sections as fresh standalone images rather than cropping, and generates additional detail images whenever that improves text readability or component analysis