Taste Skill
Open-source SKILL.md rule files that stop Cursor, Claude Code and Codex from shipping generic frontend UI
If you generate frontend inside an agent and keep getting the same shadcn-flavoured default, Taste Skill is the cheapest fix available: MIT-licensed, one install command, and the v2 brief-inference pass changes layout, density and motion choices rather than just nagging about color. The design-system map (Material, Fluent, Carbon, Polaris, GOV.UK, USWDS and others) is the part that makes it more than a prompt library, and the Section 14 pre-flight check is the part that makes it stick. The honest caveat is the version label — v2 is experimental and is what the default install pulls, so pin design-taste-frontend-v1 in any project you can't afford to have shift under you. Compare against
Verified 4d ago · liveness 73/100 · cite: rightaichoice.com/tools/taste-skill
- Developers in Cursor, Claude Code, Codex or Gemini CLI who want better frontend output without hand-holding each prompt
- Designers enforcing one consistent, non-generic AI UI across multiple projects and clients
- Teams standardising agent frontend output with a single MIT-licensed rule set installed per repo
- Agencies running audit-first redesign passes on live sites where URLs and nav labels must not shift
- Non-developers who want a visual GUI to set design rules — this is markdown in a repo, not an editor
- Production pipelines pinned in CI where v2's pre-2.0.0 rule churn is unacceptable (install v1 instead)
- Products on a bespoke design system outside the Section 2 mapping list
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Skip Taste Skill if you need a stable frozen rule set in CI (v2 is still experimental and the default install pulls it), or if you don't work inside an agent that reads SKILL.md files.
The install command pulls v2 experimental, so rule wording and section numbering can shift under you in any pre-release — you absorb the re-review cost on every update.
The skill files are free and MIT-licensed, so there is no tier ladder to reason about: the real cost is the agent subscription you already run (Cursor, Claude Code, Codex, Gemini CLI or similar) plus the engineering time to pin v1 or fork the rules yourself. Compared with a paid prompt-library or a design-system subscription, Taste Skill is the cheapest line item in the stack; compared with writing your own rules file, it is free but opinionated in ways you cannot fully switch off.
In short
Taste Skill — Open-source SKILL.md rule files that stop Cursor, Claude Code and Codex from shipping generic frontend UI. Best for Developers in Cursor, Claude Code, Codex or Gemini CLI who want better frontend output without hand-holding each prompt, Designers enforcing one consistent, non-generic AI UI across multiple projects and clients, Teams standardising agent frontend output with a single MIT-licensed rule set installed per repo. Free to use.
What's new in Taste Skill
Checked 4 days agoAcross the latest 4 updates: 4 changelog entries.
imagegen-frontend-web hero composition rules revised
The default left-text/right-image hero ban was tightened on 2026-05-04, then downgraded to a composition bias rather than a hard ban in a follow-up commit.
imagegen-frontend-web expands background modes and gradient discipline
Palette-matched gradients are now encouraged and typical AI-default gradient recipes are discouraged, with expanded background modes documented alongside per-section framing.
imagegen-frontend-web adds brief-adaptation cues and conditional background rules
Brief-adaptation cues plus conditional background rules landed alongside per-section framing docs, composition variety and expanded clarity checks.
imagegen-frontend-web requires one horizontal reference image per section
Each section now needs its own horizontal reference image — an eight-section page expects eight images, and combining multiple sections into a single frame is not allowed.
What people actually say about Taste Skill — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
28 mentions across 2 sources (Hacker News, Lemmy) · researched Jul 3, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Free and open-source (MIT license) – no cost to try.
- +900+ lines of design rules eliminate generic AI patterns.
- +Supports multiple design systems (Material, shadcn, Tailwind).
- +Enforces dark mode parity and WCAG AA contrast.
- +Brief inference maps industry and audience before generation.
- −Extremely limited community feedback – hard to trust.
- −No real user testimonials or case studies available.
- −Steep rulebase (900+ lines) may confuse casual users.
- −Only integrates with specific AI coding agents – not universal.
- −Overkill for simple landing pages or small projects.
- • None – completely free and open-source
Viability Score
How well maintained and how widely used is Taste Skill? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Brief inference: agent reads industry, audience, mood, motion depth and layout family before generating UI
- Brief-to-design-system map: Material, Fluent, Carbon, Polaris, Atlassian, Primer, GOV.UK, USWDS, Bootstrap, Radix, shadcn, Tailwind or native CSS
- Three locks: one accent color, one corner-radius system, one page theme
- Hard pre-flight check that blocks output until every rule box honestly passes
- Dual-mode dark protocol with WCAG AA contrast, hierarchy parity and off-black/off-white values
- Redesign protocol: audit-first with greenfield, preserve and overhaul modes
- Section 9 bans: em-dashes in copy, section-numbering eyebrows, version labels in heroes, div-based fake product UI
- Section-layout repetition ban: at least four different layout families across eight sections
- Canonical GSAP skeletons for sticky-stack, horizontal-pan and scroll-reveal stagger; raw scroll listeners banned
- Motion rules: reduced motion mandatory above MOTION_INTENSITY 3; motion claimed equals motion shown
- Icon stack approval for Phosphor, HugeIcons, Radix and Tabler; hand-rolled SVG banned, Lucide discouraged
- 13 bundled skills including default v2, v1 legacy, gpt-tasteskill, redesign, image-to-code, output, soft, minimalist and brutalist
- gpt-tasteskill variant tuned for GPT and Codex models with stronger layout variance and motion direction
- imagegen-frontend-web requires one horizontal reference image per section, plus palette-matched gradient guidance
- stitch-skill adds Google Stitch compatibility with an extra DESIGN.md export format
About Taste Skill
Taste Skill is a free, MIT-licensed collection of SKILL.md files that push strict frontend design rules into any AI coding agent that reads skill files. You install it with one command — npx skills add Leonxlnx/taste-skill — and from then on your agent consults the rules before it writes a line of UI. It works with Cursor, Claude Code, Codex, Gemini CLI, AI Studio, v0, Lovable, OpenCode, OpenClaw, Windsurf, Copilot and Antigravity. The current default is the v2 rewrite, still marked experimental but already shipping as the stable install name design-taste-frontend. v2 leads with brief inference: the agent reads industry, audience, mood, motion depth and layout family before designing, then a design-system map routes the brief to a real system — Material, Fluent, Carbon, Polaris, Atlassian, Primer, GOV.UK, USWDS, Bootstrap, Radix, shadcn, Tailwind — or to native CSS when that fits better. Enforcement is the point: a dual-mode dark protocol with WCAG AA contrast and hierarchy parity, three locks (color, shape, page theme), hero and navigation discipline, a section-layout repetition ban requiring at least four different layout families across eight sections, and a hard pre-flight check that blocks output until every box honestly passes. Thirteen skills ship in the repo besides the default, covering execution (output-skill, redesign-skill, image-to-code-skill, gpt-tasteskill for GPT and Codex), styles (soft, minimalist, brutalist) and image generation for web, mobile and brand kits. The project is sponsored by Vercel and Kimi and built by Leon Lin and blueemi.
Behind the Verdict
Taste Skill occupies an unusual slot: it is not an app, a subscription or a design tool. It is a set of markdown rule files that live in your repo and get read by whatever coding agent you already pay for. That is the entire product, and it is also why it is cheap and sticky — there is no runtime, no build step and no vendor lock-in beyond the agent you were already using. The v2 rewrite is the substance here. Section 0 brief inference means the agent writes down a one-line design read — page kind, vibe words, audience, references, brand assets — instead of silently defaulting to AI-purple gradients and three centered feature cards. Section 2 then routes that read to an actual design system, which is what separates Taste Skill from the flood of 'design prompt' gists: the rules know when Material is the right answer and when native CSS is. Section 4 adds three locks (color, shape, page theme) that keep a long page visually coherent; Section 5 replaces hand-rolled scroll listeners with canonical GSAP skeletons for sticky-stack, horizontal-pan and scroll-reveal stagger, and bans raw window.addEventListener('scroll') plus rAF loops that touch React state. Section 9 is where the personality lives, and where you will either nod or argue: a complete em-dash ban in copy, section-numbering eyebrows banned, version labels in heroes banned, photo-credit captions and decorative status dots banned, div-based fake product UI banned, border-t plus border-b on every row of a long list banned. Section 14 is the enforcement teeth — a pre-flight checklist where every box has to honestly pass before the agent ships. If you have a deliberate reason to number your sections or put a version string in the hero, this will fight you, and there is no per-rule escape hatch documented. The second real caveat is churn. The default install pulls v2 experimental, section numbering and rule wording may change before v2.0.0, and refinements can land in any pre-release — the imagegen-frontend-web composition rules moved twice inside three days in May 2026 with the left-text/right-image hero going from banned to a composition bias. Legacy v1 is preserved at skills/taste-skill-v1 and installed with --skill "design-taste-frontend-v1", which is the right call for a CI-pinned or agency-deliverable workflow. The 13-skill bundle is genuinely broad: output-skill blocks placeholder comments and skipped sections, redesign-skill runs a six-category audit with explicit greenfield/preserve/overhaul modes and a rule that URLs, nav labels and form field names never change silently, gpt-tasteskill raises layout variance and motion direction for GPT and Codex models, brutalist-skill pushes Swiss typography and sharper contrast, and the three imagegen skills produce reference frames — one horizontal image per section — for handoff into Codex, Cursor or Claude Code. It is markdown, not a GUI, it will not replace an art director, and it only helps if your agent reads skill files. Within those bounds
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Real-world workflow fit
Concrete scenarios for the personas Taste Skill actually fits — and what changes day-one when you adopt it.
Runs npx skills add Leonxlnx/taste-skill in the repo, then asks the agent for a landing page. The v2 skill reads the brief in Section 0, writes a one-line design read, and picks a layout family instead of defaulting to centered feature cards.
Outcome: A first-pass page with one accent color, one radius system and a single page theme that doesn't need a cleanup pass for AI-purple gradients.
Installs redesign-skill and runs its six-category audit before touching code, then works in preserve mode so URL structure, nav labels and form field names stay exactly as they are.
Outcome: A modernisation pass that doesn't break inbound links or analytics, with the generic patterns identified before any rewrite starts.
Uses imagegen-frontend-web to produce one horizontal reference image per section — eight sections means eight frames — then hands them to the agent alongside image-to-code-skill to implement the frontend to match.
Outcome: A page that follows the generated direction rather than drifting back to the model's default composition.
Use Cases
- Install taste-skill in your Cursor project so every AI-generated component inherits the color, shape and theme locks.
- Run redesign-skill's six-category audit on an existing site before touching code, with URLs and nav labels preserved.
- Pair brutalist-skill with an agent to generate Swiss-typography landing pages with sharper contrast.
- Use image-to-code-skill to generate reference frames, analyze them, then implement the frontend to match.
- Enforce WCAG AA contrast and hierarchy parity on every generated interface through v2's dark mode protocol.
- Hand imagegen-frontend-web the brief and get one horizontal reference frame per section for Codex, Cursor or Claude Code.
- Use output-skill to block placeholder comments, skipped sections and half-finished agent output.
- Export Google Stitch-compatible semantic rules plus DESIGN.md with stitch-skill.
Limitations
- Taste Skill is a collection of SKILL.md files rather than a standalone app, so it needs an AI coding agent that supports skill files (Cursor, Claude Code, Codex, Gemini CLI, v0, Lovable, OpenCode and more).
- The default install currently pulls v2 experimental, which the maintainers describe as genuinely better than v1 but still iterating: section numbering and rule wording may change before v2.0.0 stable cuts, and refinements may land in any pre-release.
- Several Section 9 bans are opinionated — the complete em-dash ban, the section-numbering eyebrow ban, and the no-version-labels-in-hero rule will conflict with designers who have a deliberate reason to use them.
- The Section 2 design system map only covers named systems (Material, Fluent, Carbon, Polaris, Atlassian, Primer, GOV.UK, USWDS, Bootstrap, Radix, shadcn, Tailwind, native CSS); aesthetic-only briefs are labeled web approximations, so a bespoke house system gets less value.
- Some imagegen-frontend-web composition rules have already shifted mid-release, such as the default left-text/right-image hero being banned on 2026-05-04 and then revised to a composition bias in a follow-up commit.
as of 2026-10-13
Verification history
We have re-verified Taste Skill 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Taste Skill tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free (Open Source)
$0
Ideal for
Individual developers, designers and small teams already working inside Cursor, Claude Code, Codex or Gemini CLI who want better frontend output without a new subscription.
What this tier adds
Starting tier: the whole 13-skill bundle under MIT, one install command, no runtime and no build step.
Where the pricing makes sense
The company stage and team size where Taste Skill's pricing actually pencils out — and where peers do it cheaper.
The skill files are free and MIT-licensed, so there is no tier ladder to reason about: the real cost is the agent subscription you already run (Cursor, Claude Code, Codex, Gemini CLI or similar) plus the engineering time to pin v1 or fork the rules yourself. Compared with a paid prompt-library or a design-system subscription, Taste Skill is the cheapest line item in the stack; compared with writing your own rules file, it is free but opinionated in ways you cannot fully switch off.
Setup time & first value
How long it actually takes to get something useful out of Taste Skill — broken out by persona, not the marketing-page minute.
Under a minute for the core install: one npx skills add command drops a SKILL.md into your project and the agent picks it up with no extra configuration. Picking a specific skill adds a --skill flag, and Codex users add -a codex. Budget 15–30 minutes to read the ban list and decide whether the Section 9 rules fit your brand, and longer if you plan to fork the rules for a bespoke design system.
Switching to or from Taste Skill
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From your own rules file or prompt library: install taste-skill alongside it, diff v2's Section 9 ban list against your own, then delete the overlapping rules.
- →From design-taste-frontend-v1: install v2 with the same command and read the changelog first — the install name stays stable but rule wording and section numbering changed.
- →From a shadcn or Tailwind starter template: add the skill and run redesign-skill's audit before stripping the template's defaults.
- ↗To design-taste-frontend-v1: install explicitly with --skill "design-taste-frontend-v1" if v2's churn breaks a pinned pipeline.
- ↗To your own rules file: the SKILL.md files are plain markdown in the repo, so you can copy the sections you keep and drop the bans you disagree with.
Integrations
Resources & Guides
- Documentationtasteskill.dev
Docs · Taste Skill
Full product docs from tasteskill.dev
- Resourcetasteskill.dev
Changelog · Taste Skill
Helpful link from tasteskill.dev
- Resourcetasteskill.dev
Blog · Taste Skill
Helpful link from tasteskill.dev
- Guidetasteskill.dev
Guide · Taste Skill
In-depth how-to from tasteskill.dev
- Resourcegithub.com
Taste Skill · Taste Skill
Helpful link from github.com
Tutorials & Learning
Official links
Tools that pair well with Taste Skill
Common stack mates teams adopt alongside Taste Skill, with the specific reason each pairing earns its keep.
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Hue
Open-source skill that turns any brand into a design system Claude Code and Codex can build with
Continue
Open-source AI coding agent for VS Code and JetBrains — free to fork since Cursor acquired Continue in January 2026.
Featured Head-to-Head Comparisons
Taste Skill vs Cognition Ai
Cognition AI and Taste Skill solve completely different problems: Devin is an autonomous engineer for enterprise production code with a massive budget, while Taste Skill is a free open-source tool to stop AI agents from generating sloppy UIs. Choose Devin if you need a full engineering teammate; choose Taste Skill if you want to improve the frontend output of your existing AI coding agent.
Taste Skill vs Polycam
Polycam and Taste Skill serve entirely different needs. Polycam is a powerful 3D scanning tool for professionals needing reality capture, floor plans, and exports to 15+ formats. Taste Skill is an open-source rule set for AI coding agents to enforce frontend design quality, v2 bringing brief inference and layout discipline. Choose Polycam for scanning physical spaces; choose Taste Skill for building polished AI-generated UIs.
Taste Skill vs Bito
Taste Skill and Bito address completely different pain points. If you need to stop AI agents from generating sloppy, generic frontends with poor design taste, Taste Skill's free, open-source rule files are a no-brainer. If your team struggles with cross-repo context and architectural planning for AI code generation, Bito's knowledge graph and scoping capabilities are essential. Choose based on whether your bottleneck is frontend quality or system-wide understanding.
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