Taste Skill
A pack of design rulebooks that steer AI-built pages away from generic and toward deliberate.
A fast-rising pack of 13 design skills that steer AI tools like Cursor and Claude away from cookie-cutter layouts, with adjustable dials for layout adventure, motion, and density, plus image skills that mock up reference designs. Big caveat: GitHub itself flagged the repository for suspected fake stars, so treat its popularity numbers with skepticism and vet it before installing.
Thirteen specialized variants cover different briefs: default polish, a stricter GPT-tuned mode, redesigns, minimalist, brutalist, plus image generators that produce reference designs before anyone builds.
Three dials control how adventurous the layout is, how much motion pages get, and how dense information sits, set per project.
GitHub flagged the repository for suspected fake star engagement, so the headline 78k stars is not a clean adoption signal.
The default version is experimental and still changing; pin the older stable variant if consistency matters.
What it does
- Installs into Cursor, Claude Code, Codex, and similar tools through the standard skills installer, or drops into a chat as a single reference file
- Offers 10 implementation styles, from general polish to minimalist, brutalist, soft, and a redesign mode for fixing pages you already have
- Adds three image-generation skills that produce reference designs and brand boards to guide the build
- Tunes three settings per project: layout adventure level, amount of motion and animation, and visual density
- Enforces anti-slop rules, including a hard ban on em-dashes, anti-repetition checks, and a redesign-audit protocol for existing projects
- Exports brand guidance in a format other design tools can read, and installs as a plugin in supported editors
What it can’t do
- Prove its popularity is real; GitHub flagged the repository for suspected fake stars
- Hold behavior steady yet; the default version is explicitly experimental and changes between updates
- Build the final site by itself; the image skills produce reference pictures that still need someone to turn into working pages
- Guarantee smooth installs; early users hit name-matching errors until a recent fix aligned the install names
- Enforce its own rules mechanically; everything is written guidance the AI chooses to follow
Pros & cons
- Wide style coverage in one download, so you pick the variant that matches the campaign brief
- Adjustable settings beat fixed style rules when different projects need different looks
- MIT licensed and installs through the standard skills installer most AI tools already support
- Reference-image generation fills the gap between mood board and working page
- Active development, with a public changelog and a v2 rewrite underway
- A real homepage documents the changelog and per-skill install names
- GitHub flagged the repository for suspected fake engagement, so the headline star count overstates adoption
- The default experience is experimental and churning; stability requires pinning the older version
- Install naming has been fragile, with early users unable to find the skills at all
- No mechanical checks like some rivals offer; compliance depends entirely on the AI obeying the text
- Sponsor logos clutter the change history relative to real skill improvements
- Community-built and unofficial; inspect what you install before trusting it on anything important
Recently fixed
Pulled from the repo’s closed issues and PRs. A live project fixes things in public; a dead one doesn’t.
- fix fix(skill.sh): align keys with canonical install names
- PR refactor: improve skill to follow skills best practices
- fix fix: add .claude-plugin/ manifest to fix VS Code marketplace install
- fix fix: LAYOUT_VARIANCE -> DESIGN_VARIANCE in v1 anti-center bias rule
- fix fix(stitch-skill): correct dead Google Stitch prerequisite link
- feature feat: promote v2 (experimental) as default taste-skill, preserve v1 as taste-skill-v1
- feature skills(neon-pop-skill): add neon pop giftshop UI skill
- feature feat: convert to Claude Code plugin
What the community says
Solved with images-taste skill? the website available here: https://github.com/Leonxlnx/taste-skill. Way better than claude design for example.
Top 7 Claude skills for design and UI, by install count. 367,454 (leonxlnx/taste-skill) Design is the category where taste is the entire product, and no install number reaches taste.
Taste Skill: Stops the AI from outputting boring, generic slop. Design Skills: Applies opinionated constraints from top design systems.
Watch it work
Real tutorials and reviews from YouTube, not ours.
12 sourcesWhere this page’s facts came from. Open the receipts.
- 1GitHub repo (Leonxlnx/taste-skill)
- 2GitHub API — repo metadata
- 3GitHub API — recently closed issues/PRs
- 4GitHub issue #48 — [phantomstars] Fake engagement detected on this repository
- 5Taste Skill homepage
- 6Vercel agent-skills CLI (npx skills add)
- 7Reddit r/codex — Frontend Solved with images-taste skill?
- 8Reddit r/ClaudeDesign — Top 7 Claude skills for design and UI by install count
- 9Reddit r/n8nbusinessautomation — 5 Skills to Turn Claude and Cursor Into Pro Web Designers
- 10YouTube — Taste Skill Stops AI From Building Generic Slop Frontends
- 11YouTube — How to Install Any Claude Skill You Find on GitHub
- 12YouTube — Turn Claude Code Into a Senior UI/UX Designer Instantly