AI UI Generation Agent Skill

AI-assisted UI generation patterns for json-render, v0.app, Google Stitch, Bolt Cloud, and Cursor workflows.

Context cost
14.8k tokensestimated from the bundle, loaded when it triggers
Bundle
15 files · 59.2 kBtext throughout, nothing executable
Licence
MITthe author’s own terms
Last change
—v1.1.0
Servers it uses
Noneruns standalone

What it does

AI-assisted UI generation patterns for json-render, v0.app, Google Stitch, Bolt Cloud, and Cursor workflows. Covers prompt engineering for component and full-stack app generation, review checklists for AI-generated code, design token injection, refactoring for design system conformance, and CI gates for quality assurance. Use when generating UI components with AI tools, rendering multi-surface MCP visual output, reviewing AI-generated code, or integrating AI output into design systems.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

ai-uiboltbolt-cloudcursorjson-renderstitchv0v0-app
Filed under

Design & Media

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md10.7 kB · preview
--- name: ai-ui-generation license: MIT compatibility: "Claude Code 2.1.277+." user-invocable: false disable-model-invocation: true metadata: owner-agent: "frontend-ui-developer" category: document-asset-creation version: "1.1.0" author: "OrchestKit" complexity: "medium" tags: "ai-ui, json-render, v0, v0-app, stitch, bolt, bolt-cloud, cursor, prompt-engineering, code-generation, design-tokens, component-generation, ai-review, shadcn-ui" allowed-tools: "Read Glob Grep WebFetch WebSearch mcp__stitch__generate_screen_from_text mcp__plugin_hq-ext_stitch__generate_screen_from_text mcp__stitch__get_screen mcp__plugin_hq-ext_stitch__get_screen" # Stitch: body names generate_screen_from_text and get_screen. # Grant BOTH prefixes: standalone stitch (mcp__stitch__*) and hq-ext plugin # (mcp__plugin_hq-ext_stitch__*). See https://code.claude.com/docs/en/mcp-servers ---
21# AI UI Generation
22
23Patterns for generating, reviewing, and integrating UI components produced by AI tools (json-render, v0.app, Google Stitch, Bolt Cloud, Cursor). **json-render is the first choice** for multi-surface, MCP visual output, and type-safe catalog workflows. AI-generated UI is **80% boilerplate, 20% custom** — the human reviews, refactors, and owns the output. These rules ensure AI output meets design system, accessibility, and quality standards before shipping.
24
25> **Tool landscape as of 2026-04:**
26> - **v0.dev → v0.app** (Jan 2026 rebrand) — expanded from component scaffolding to full-stack app generation with shipping targets (Vercel, Cloudflare, Railway). v0.app MCP server (@vercel/v0-mcp) exposes generation as an MCP tool, so agents can call it programmatically.
27> - **Google Stitch** — design-first generation via stitch.withgoogle.com/docs/mcp. Produces multi-screen apps (up to 5 interconnected screens) with React/HTML + PNG. Strong when input is a screenshot, URL, or DESIGN.md file.
28> - **Bolt Cloud** (StackBlitz, 2026) — Bolt now runs the dev environment in the cloud (no local WebContainer). Integrates with GitHub and supports persistent databases. Best for full-stack prototypes with backend + deploy.
29> - **v0.app** and **Stitch** both integrate with shadcn/ui styles; pair with the shadcn apply <style> CLI (v4) to reuse generated output.
30
31## Quick Reference
32
33| Category | Rules | Impact | When to Use |
34|----------|-------|--------|-------------|
35| [json-render Integration](#json-render-integration) | 1 | HIGH | Multi-surface output, MCP visual output, type-safe catalogs |
36| [Prompt Engineering](#prompt-engineering) | 2 | HIGH | Writing prompts for component generation |
37| [Quality Assurance](#quality-assurance) | 2 | CRITICAL/HIGH | Reviewing and gating AI-generated code |
38| [Design System Integration](#design-system-integration) | 2 | HIGH | Injecting tokens, refactoring for conformance |
39| [Tool Selection & Workflow](#tool-selection--workflow) | 2 | MEDIUM | Choosing the right AI tool, iterating prompts |
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md1,418 words
Files15
LicenceMIT
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈350
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
14,450
on trigger
The instruction body and 14 supporting files, read only when the skill fires.
7.4%
of a 200k window
Ten skills this size would take about 74% of the window before you open a file.
050k100k150k200k context window

14.8k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

It asks for pages to be fetched through your client’s own network access. It writes no files.

What it asks for
Writes filesno
Network accessyes

Read from the allowed-tools line of this skill’s own SKILL.md. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

15 files, 59.2 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md10.7 kB
  • test-cases.json4.8 kB
  • references/ai-ui-failure-modes.md4.4 kB
  • references/ai-ui-tool-comparison.md5.6 kB
  • references/prompt-templates-library.md5.3 kB
  • rules/_sections.md1.6 kB
  • rules/_template.md0.3 kB
  • rules/ai-ci-gate.md4.0 kB
  • rules/ai-iteration-patterns.md3.4 kB
  • rules/ai-prompt-patterns.md2.8 kB
  • rules/ai-refactoring-conformance.md3.6 kB
  • rules/ai-review-checklist.md3.2 kB
  • rules/ai-token-injection.md3.2 kB
  • rules/ai-tool-selection.md3.6 kB
  • rules/json-render-patterns.md2.7 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 15 files you can review in full before installing. The MIT licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# AI UI Generation · 14.8k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/ai-ui-generation/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/ai-ui-generation" ] && { [ ! -e .claude/skills/ai-ui-generation ] || { mv .claude/skills/ai-ui-generation "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/ai-ui-generation" .claude/skills/ && echo "Installed .claude/skills/ai-ui-generation"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add yonatangross/ai-ui-generation

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/ai-ui-generation/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/ai-ui-generation/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/ai-ui-generation" ] && { [ ! -e ~/.claude/skills/ai-ui-generation ] || { mv ~/.claude/skills/ai-ui-generation "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/ai-ui-generation" ~/.claude/skills/ && echo "Installed ~/.claude/skills/ai-ui-generation" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/ai-ui-generation/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Version1.1.0
Publishedno release date on file
PriceFree
Referenceyonatangross/ai-ui-generation

Versions

v1.1.0 is what is on the shelf; no release here carries a date. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

v1.1.0
  • No earlier releases have been published to the marketplace.
Pinning

The install command always fetches the release that is current the day you run it — v1.1.0 today — and cannot ask for an earlier one. The copy on your disk does not change until you run it again.

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