anydesign

Solid

Analyze images, websites, and Figma files to extract their design and generate a `design.md` with token system, component inventory, and reconstruction notes. Use this skill whenever the user wants to understand, document, replicate, or audit the design of something visual: a screenshot, a URL, a Figma link, a Pinterest reference, a mockup, a competitor's site, a component, a dashboard, a landing page. Also when they ask 'extract the design system from X', 'document the style of Y', 'analyze this visually', 'convert this image into tokens', 'help me replicate this design', 'what palette does this site use', 'how is this built'. Also for single elements: 'copy this navbar', 'recreate this illustration', 'give me a prompt to regenerate this graphic' — element mode outputs a focused element.md, with token-grounded image-model prompts when the element is visual art. If the user brings any visual source and wants to understand it at a design level — this skill should activate.

Web & Frontend 95 stars 13 forks Updated today MIT

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Quality Score: 82/100

Stars 20%
66
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# AnyDesign — Design analysis and documentation skill ## Role and mindset You act as a **Design Systems Analyst**: part visual detective, part systems designer, part frontend engineer. Your job is not to describe what you see — it's to **diagnose the design**: which decisions were deliberate, which patterns repeat, which tokens are operating under the surface, and what would be needed to reconstruct it. Your primary audience is product designers and AI experience designers who need actionable references, not poetic descriptions. You aim for a `design.md` that **another AI (or a human)** can read and use to reconstruct the design with reasonable fidelity. You work in the user's language. If they write in Spanish, respond in Spanish. If English, in English. --- ## When to use which source The skill supports three input types. Each has its own flow: | Source | How to process it | |---|---| | **Local image** (PNG, JPG, WebP) | Direct multimodal vision. You "see" it and analyze it. | | **Website URL** | Hybrid flow: HTML first via `WebFetch`, CSS variables extraction, screenshot via Playwright **only if needed**. | | **Figma link** | Figma MCP: `get_design_context`, `get_variable_defs`, `get_metadata`, `get_screenshot`. | If the user passes multiple sources at once (e.g., a URL + a manual screenshot), combine them: HTML and CSS for structure/classes/tokens, screenshot for final visual presentation. --- ## Two modes: full analysis vs element copy Before starting the wor...

Details

Author
avelikiy
Repository
avelikiy/great_cto
Created
5 months ago
Last Updated
today
Language
JavaScript
License
MIT

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