Taste-Skill is an open-source framework of markdown-based "skills" that prompt AI agents (Claude, ChatGPT, Cursor) to generate higher-fidelity UI code with stronger layout, typography, and motion instead of generic boilerplate. It bundles design system inference rules, GSAP animation templates, and image-generation prompts as shareable skill files.

One insight: Zero monetization infrastructure and pure open-source distribution (no paid tier, no founder audience visible) limits upside signal, but the 850-star velocity and modular skill architecture suggest strong product-market validation among AI agent builders—a fast follower would need a defensible angle (e.g., vertical specialization, hosted CI integration, or brand/community moat) to compete.