Taste-skill is not a software application in the traditional sense; it is a portable library of AI-agent 'skills' - extremely detailed Markdown instruction files (SKILL.md) distributed via the `npx skills add` CLI (Vercel agent-skills spec) and a .claude-plugin marketplace. The repo's product is the prompt content itself: 13 frontend design-direction skills that agents like Claude Code, Codex, and ChatGPT load to avoid generic 'AI slop' output. The flagship is `taste-skill` v2 (`design-taste-frontend`), a ~5000-line instruction document that codifies anti-pattern bans (zero em-dashes, no section-number eyebrows, no three-equal-card rows), a brief-inference protocol, design-system mapping to official packages (Fluent, Carbon, Polaris, GOV.UK), canonical GSAP/scroll-reactive code skeletons, and a hard pre-flight checklist with mechanical pass/fail criteria. It is complemented by image-generation-only skills (brandkit, imagegen-frontend-web/mobile) that produce reference comps for downstream coding agents, plus variant skills (brutalist, minimalist, soft, stitch, output-enforcement). The repository also contains a `research/laziness/` folder documenting LLM output-truncation causes and remediation, and a small set of Node/Sharp image-processing scripts used to build the README assets. Those scripts contain one genuinely valuable, extractable algorithm: a flood-fill outer-background removal with auto-cropping to content bounds. The scripts are one-off (hardcoded `C:/Users/User/Downloads` source paths, tightly coupled to specific sponsor assets), so they are not drop-in reusable without adaptation, but the background-removal technique itself is portable. This is a content/instruction repository rather than a codebase; software-engineering quality bars (tests, CI) do not apply. Its craftsmanship lives in the rigor, specificity, and mechanical enforcement of the prompt files, which is exceptional for the prompt-engineering domain. The active development cadence, current dependency references (Tailwind v4, Motion/react, React Server Components), and 92k-star traction confirm it is the leading project in its niche.