Taste Lab provides abductive reasoning for design, extracting the 'taste' and decision-making process behind any website. It generates a Design Map and Taste DNA, offering detailed insights into colors, typography, spacing, and trade-offs, making design context accessible for AI agents.
How to use Taste Lab?
Clone the taste-skill repository, install Playwright MCP, and then run the skill on any URL using commands like '/taste [URL]' within your AI agent environment (e.g., Claude Code, Gemini CLI). It generates .md and .json files detailing the design context.
Taste Lab 's Core Features
Extracts precise design measurements (colors, typography, spacing, radius, shadows).Identifies systematic design patterns and rules.Infers 'Taste DNA' with triggers, decisions, reasons, evidence, and trade-offs.Generates both a Design Map (tokens) and Taste DNA (principles).Outputs in .md and .json formats for AI agent integration.Compatible with various AI tools like Claude Code, Cursor, and v0 by Vercel.Provides a clear, step-by-step pipeline from URL to design context.
Taste Lab 's Use Cases
Enabling AI agents to understand and replicate website design aesthetics.Reverse-engineering design decisions for competitive analysis.Generating design tokens and style guides automatically.Providing context for AI-powered design tools and platforms.Assisting developers in understanding the rationale behind design choices.Creating comprehensive design documentation from live websites.Improving AI's ability to make context-aware design recommendations.
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Most impacted jobs
AI Agent Developer
UI/UX Designer
Front-end Developer
Product Manager
AI Researcher
Design Systems Engineer
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