Repository:Leonxlnx/taste-skill
taste-skill: Bringing Design Direction to AI Coding Agents
taste-skill equips AI coding agents with art direction, visual references, and browser verification to avoid generic web designs.
110.8kstarsJavaScript
imagegen-skills: Design and Image Generation Skills for Coding Agents
RepositoryLeonxlnx/imagegen-skillsTool
imagegen-skills provides modular skills for AI coding agents to generate website mockups, mobile screens, brand kits, and image-guided frontend implementations.
Key points
- Split out from the taste-skill repository in October 2026 to separate image generation from frontend construction.
- Features four specific skills: imagegen-frontend-web, imagegen-frontend-mobile, brandkit, and image-to-code.
- Installs via npx skills, Claude Code plugins, or Codex plugins.
- The image-to-code skill runs a complete pipeline: generating design images, inspecting them, and building the frontend to match.
Why it matters
Coding agents frequently output generic interfaces without prior visual direction. Generating structured design mockups first allows agents to adhere to concrete layouts and styling before writing code.
Analysis
The repository targets developers using AI assistants like Claude Code and OpenAI Codex for rapid prototyping and UI development. It formalises visual prompt workflows into distinct modular steps for websites, mobile apps, and brand assets. While recently established (67 stars, 5 forks) after branching off taste-skill, it provides plug-and-play integrations under the MIT license.
Mentioned links
Found in
Summary generated by AI (Gemini 3.8 Flash, 6 November 2026). It may contain errors – the original source is authoritative.
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Locations
- Mattersburg
Johann Nepomuk Bergerstraße 7/2/14
7210 Mattersburg, Austria - Vienna
Ungargasse 64-66/3/404
1030 Wien, Austria
Parts of this content were created with the assistance of AI.