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  3. Designer Skill MCP
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Designer Skill MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository

UI design MCP: design references, intent routing, anti-slop static detector and gate. No API key.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for designer-skill-mcp, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

designer-skill-mcp

Plug-and-play MCP. UI superpowers for your agent.

release downloads tests license skills.sh
tools references detector node api key

Setup Β· How it works Β· References Β· Tools Β· Development

Setup

setup

Paste into your agent (Claude Code, Codex, Cursor, any MCP client). It installs the skill, wires the MCP and verifies the tools:

text
Add designer-skill alongside Niblet Designer UI. It is optional and keyless: it routes a design request, loads the right reference, and gates the ship. Niblet supplies the real screens and materials.

1. Install or refresh the skill into the user skill directory (not this project):
npx skills add PyModel/designer-skill --skill designer-skill -g -y

2. Add the local MCP using this client's native MCP configuration, in the user-level (not project-level) config:
Name: designer-skill
Transport: stdio
Command: npx
Args: -y @pymodel/designer-skill-mcp@latest

No API key is needed. Do not add one.

3. Verify: list the designer-skill server's tools and confirm get_preflight_brief, dispatch_intent, review_and_gate are present. Do not run a sample check.

When setup is complete, confirm that the designer-skill skill is installed and that the three tools are exposed. On UI work from now on: call get_preflight_brief first, use dispatch_intent to load only the references it recommends, pull screen references and materials from the niblet server, then call review_and_gate on the changed files before saying the work is done. If there is an active UI task, continue it. Otherwise say: "designer-skill is ready and paired with Niblet."

No Niblet? Drop the "pull screen references and materials from the niblet server" clause.

Or pick one:

Install
🟣 Claude Code plugin (skill + MCP)/plugin marketplace add PyModel/designer-skill then /plugin install designer-skill@pymodel
🟒 Codex plugincodex plugin marketplace add PyModel/designer-skill, then install designer-skill from pymodel in /plugins
⚫ Cursor pluginInstall from the marketplace; ships mcp.json, skills, /designer-setup · /designer-status
πŸ”΅ MCP only, any clientclaude mcp add designer-skill -- npx -y @pymodel/designer-skill-mcp (same args for codex mcp add, pythinker mcp add --transport stdio)
🟠 Skill onlynpx skills add PyModel/designer-skill --skill designer-skill or copy skills/designer-skill/ into ~/.claude/skills/ / ~/.codex/skills/

Canonical MCP config (mcp.json):

config.json
{ "mcpServers": { "designer-skill": { "command": "npx", "args": ["-y", "@pymodel/designer-skill-mcp@latest"] } } }

@latest tracks npm; teams pin @pymodel/designer-skill-mcp@0.21.1. Plugin skill content updates separately (/plugin update …). MCP registry name: io.github.PyModel/designer-skill-mcp. Requires Node 22+.

Per-client config (VS Code, Codex TOML, Kilo, Open Code, Claude Desktop, Pythinker, Pi)

VS Code .vscode/mcp.json (1.99+):

config.json
{ "servers": { "designer-skill": { "type": "stdio", "command": "npx", "args": ["-y", "@pymodel/designer-skill-mcp"] } } }

Codex CLI ~/.codex/config.toml:

toml
[mcp_servers.designer-skill]
command = "npx"
args = ["-y", "@pymodel/designer-skill-mcp"]

Open Code opencode.json:

config.json
{ "mcp": { "designer-skill": { "type": "local", "command": ["npx", "-y", "@pymodel/designer-skill-mcp"] } } }

Claude Desktop, Cursor (.cursor/mcp.json), Kilo Code (mcp_settings.json), Pythinker (~/.pythinker/mcp.json): the canonical mcpServers JSON above. Pythinker verify: pythinker mcp test designer-skill (guide).

Pi: the same JSON, or register the skill natively: { "skills": [{ "path": "/path/to/skills/designer-skill/SKILL.md" }] }

Local checkout: replace npx with "command": "node", "args": ["/abs/path/to/designer-skill-mcp/dist/index.js"].

How it works

how

mermaid
flowchart LR
  A[Prompt] --> B[get_preflight_brief]
  B --> C[dispatch_intent]
  C --> D[get_reference]
  D --> E[Build / polish UI]
  E --> F[review_and_gate]
  F -->|FAIL: fix| E
  F -->|static checks pass| G[Rendered checks<br/>by the host]
  classDef start fill:#f8fafc,stroke:#94a3b8,color:#18181b
  classDef route fill:#eff6ff,stroke:#3b82f6,color:#1e3a8a
  classDef know fill:#faf5ff,stroke:#7c3aed,color:#4c1d95
  classDef work fill:#fff7ed,stroke:#e87a3d,color:#7c2d12
  classDef gate fill:#ecfdf5,stroke:#10b981,color:#065f46
  classDef host fill:#fff1f2,stroke:#e11d48,color:#881337
  class A start
  class B,C route
  class D know
  class E work
  class F gate
  class G host
πŸ”΅ Route🟣 Know🟒 Check
dispatch_intent maps "make it pop" or "it feels off" to design verbs and at most four references.16 designer references (type, color, motion, a11y, anti-slop, redesign) plus 26 ux/* references (forms, collaboration, canvas, AI, i18n…).A 44-rule deterministic detector backs review_and_gate, which reports each required rule as ran, unsupported, unresolved or waived.

The gate is static only: overall status is FAIL or NOT_VERIFIED, never a rendered-readiness pass. Rendered, accessibility and performance checks stay NOT_RUN until the host supplies evidence.

Example: "Use designer-skill to redesign this pricing page without breaking functionality." β†’ get_preflight_brief β†’ dispatch_intent β†’ get_reference β†’ edit β†’ review_and_gate.

Built with it: pythinker.com

pythinker.com β€” built with designer-skill

References

refs

FileUse whenTier
design-principlesTypography, spacing, color, layout, hierarchyπŸ”΅ core
differentiation-playbookBeing distinctive: inverse test, layout menu, named referencesπŸ”΅ core
aesthetic-systemsPicking a look: 5 systems with palettes, fonts, shadowsπŸ”΅ core
motion-and-interactionTiming, springs, scroll, reduced motionπŸ”΅ core
engineering-and-performanceTokens, a11y, responsive, Core Web VitalsπŸ”΅ core
avoid-ai-slopBan list, category-reflex checks, completeness contractπŸ”΅ core
refactor-and-redesignAudit β†’ diagnose β†’ redesign without breaking behaviorπŸ”΅ core
command-playbookIntent β†’ verb dispatchπŸ”΅ core
verification-and-recoveryEvidence rules, gate statuses, failure triageπŸ”΅ core
interaction-designFitts/Hick/Miller, forms, navigation, errors, loadingπŸ”΄ extended
visual-critiqueSeven-dimension critiqueπŸ”΄ extended
design-systemsToken architecture, component specs, themingπŸ”΄ extended
project-initDiscovery interview, PRODUCT.md, DESIGN.mdπŸ”΄ extended
craft-flowShape-then-build pipeline with user gatesπŸ”΄ extended
live-modeBrowser variant mode: select, HMR, steer, acceptπŸ”΄ extended
css-techniquesModern CSS: container queries, :has(), clamp(), logical propsπŸ”΄ extended

Plus 26 ux/* references in skills/ux-designer/. Each SKILL.md is a short router with a one-line description; references load only when a task needs them.

PhraseVerbsReads
"make it pop"amplify Β· coloraesthetic-systems, design-principles
"it feels off"check Β· layoutrefactor-and-redesign, avoid-ai-slop
"production-ready"ship Β· checkengineering-and-performance
"add some motion"motionmotion-and-interaction
"it looks AI-made"review Β· brandavoid-ai-slop, aesthetic-systems
"redesign this"check Β· refreshrefactor-and-redesign, command-playbook

Tools

tools

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Designer Skill MCP

We don't have a confirmed install command for designer-skill-mcp yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/PyModel/designer-skill) for the current steps.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
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Last updatedSep 28, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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