Agent Skills: Skill: Google Stitch Design

Generate UI designs using Google Stitch AI with optimized prompts

UncategorizedID: nguyenthienthanh/aura-frog/stitch-design

Install this agent skill to your local

pnpm dlx add-skill https://github.com/nguyenthienthanh/aura-frog/tree/HEAD/aura-frog/skills/stitch-design

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aura-frog/skills/stitch-design/SKILL.md

Skill Metadata

Name
stitch-design
Description
Generate UI designs using Google Stitch AI with optimized prompts

AI-consumed reference. Optimized for Claude to read during execution. Human-readable explanation: see docs/architecture/HIERARCHICAL_PLANNING.md or docs/getting-started/ depending on topic.

Skill: Google Stitch Design

Generate UI designs using Google Stitch AI (https://stitch.withgoogle.com), powered by Gemini.

stitch_info[1]{engine,limits,quota}:
  Gemini (Flash draft / Pro final),"static layouts only — no hover/animation/state; not pixel-perfect",~350 gen/month free (MCP shares this)

Two integration paths — prefer MCP when configured, fall back to manual paste otherwise:

paths[2]{path,when,how}:
  MCP (automated),"stitch server enabled in .mcp.json + STITCH_API_KEY set","call tools directly — no copy-paste"
  Manual (fallback),"no Stitch MCP / no auth / hit quota","generate prompt → user pastes into stitch.withgoogle.com → ingest export"

Path A — Stitch MCP (automated)

The stitch MCP is a remote http server that is opt-in and NOT bundled — it is absent from .mcp.json (a "disabled": true flag does nothing; Claude Code ignores it and starts the server anyway, so keeping a server off means leaving it out). Add the entry to your project's own .mcp.json — snippet in docs/operations/MCP_GUIDE.md § Optional Servers — and set STITCH_API_KEY (create a key in Stitch → Settings) to unlock direct generation. API-key auth is preferred over OAuth (OAuth tokens expire hourly and need manual refresh in the client).

⚠️ Verify on first connect. The endpoint (https://stitch.googleapis.com/mcp), header name, and exact tool names below came from mid-2026 research that could not be fully adversarially verified. Before trusting them, list the server's tools (ask the agent to "list Stitch projects" or inspect the tool schema) and reconcile against https://stitch.withgoogle.com/docs/mcp/setup. If names differ, use the real ones — do not fabricate. If the server is unreachable, drop to Path B.

MCP workflow

mcp_workflow[6]{step,action,tool}:
  1,Read design SoT,".claude/design/design-system.md (if present) → seed the prompt"
  2,Generate screens,"generate_screen_from_text (modelId GEMINI_3_FLASH for drafts)"
  3,Iterate,"edit_screens / generate_variants on selected screen IDs"
  4,Seed design system,"create_design_system / apply_design_system (foundational tokens)"
  5,Pull outputs,"fetch screen HTML + download screenshot PNG per screen"
  6,Persist + handoff,"merge design.md → .claude/design/design-system.md; save PNGs as vision-loop targets"
  • Model choice: draft with GEMINI_3_FLASH (cheap, iterate fast); switch to the Pro model only for the final pass. Every generation counts against the ~350/month free quota — log how many you spend and don't burn quota on drafts you'll discard.
  • Design-system tools (create_design_system, update_design_system, list_design_systems, apply_design_system) are the agent-driven path to build/maintain a Stitch design system that stays consistent across screens — mirror it into .claude/design/design-system.md (see rules/agent/design-system-persistence.md).
  • Screenshots are load-bearing: save each screen's PNG — they become the reference target for the design-vision-loop skill when Claude implements the real (interactive) UI.

Stitch's limits shape the handoff

Stitch outputs static layouts — no hover states, animation, form validation, or state management, and pixel-perfect accuracy is not guaranteed. So Stitch owns layout + look; the frontend agent owns behavior, interactivity, motion, a11y. Specify those separately — don't expect them from Stitch.


Path B — Manual (fallback)

Use when the MCP is unavailable. Unchanged copy-paste flow:

workflow[5]{step,action,output}:
  1,Gather requirements,Requirements doc
  2,Generate prompt,Optimized Stitch prompt
  3,Create review doc,.claude/workflow/stitch-design-review-*.md
  4,Guide user,Instructions + link
  5,Process export,Component code
  1. Gather requirements — app type (dashboard/landing/mobile/ecommerce/forms), audience, theme, key features, brand.
  2. Generate prompt — load template from references/prompt-templates.md for the app type; fill in.
  3. Create review doc.claude/workflow/stitch-design-review-{project-name}.md with specs + checklists.
  4. Guide user — copy-paste-ready prompt, link to Stitch, export guidance (Figma paste vs HTML/CSS).
  5. Process export — review HTML/CSS, extract tokens → .claude/design/design-system.md, generate components per conventions.

Design Types

design_types[5]{type,use_case,template}:
  dashboard,Admin panels; analytics,references/prompt-templates.md#dashboard
  landing,Marketing; product pages,references/prompt-templates.md#landing
  mobile,iOS/Android screens,references/prompt-templates.md#mobile
  ecommerce,Product; cart; checkout,references/prompt-templates.md#ecommerce
  forms,Multi-step wizards,references/prompt-templates.md#forms

Related Files

  • references/prompt-templates.md - Optimized prompts by type (used by both paths)
  • references/design-checklist.md - Detailed review checklist
  • references/export-guide.md - Export from Stitch (manual path)

See also: rules/agent/design-system-persistence.md (persist Stitch output), skills/design-vision-loop/SKILL.md (verify the implemented UI against Stitch screen PNGs). Google also ships open-source stitch-skills (google-labs-code/stitch-skills) — optional deeper workflow, install per its README; not bundled here.