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Agent Skill

stitch::generate-design skill

stitch::generate-designgoogle-labs-code/stitch-skillsplugins/stitch-design/skills/generate-design/SKILL.md

Generate new screens from text prompts or images, edit existing screens with prompts and design system tokens, and generate design variants using Stitch MCP. Includes prompt enhancement pipeline, design mappings, professional UI/UX terminology, design tokens and theme system capabilities.

8.5kApache-2.0

always on

54 tokname + description

once used

2,514 tokSKILL.md body

bundled files

37 KB

repo stars

8.5kGitHub

Install the stitch::generate-design skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/google-labs-code/stitch-skills --skill 'stitch::generate-design'

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/google-labs-code/stitch-skills.git /tmp/stitch-skills
mkdir -p ~/.claude/skills
cp -R /tmp/stitch-skills/plugins/stitch-design/skills/generate-design ~/.claude/skills/generate-design

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description54 tok
When the agent uses itThe SKILL.md instructions2,514 tok
Only if opened3 bundled files (7 KB)varies

Until it is used, stitch::generate-design costs about 25× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 16 skills from google-labs-code/stitch-skills would load 801 tokens of descriptions. Skills vs MCP study

Checks

  • The name breaks the specification (lowercase letters, digits and single hyphens, up to 64 characters).

Pre-approved tools (allowed-tools): stitch*:*, Bash, Read, Write, web_fetch. The agent can use these without asking while the skill is active.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Generate Design
  • 🎨 Prompt Enhancement Pipeline
  • 1. Analyze Context
  • 2. Refine UI/UX Terminology
  • 3. Structure the Final Prompt
  • 4. Present AI Insights
  • Steps
  • Determine the Mode
  • Generate from Text Flow (New Screen)
  • Generate from Image Flow (Image/Mockup → Design)
  • Edit Flow (Modify Existing Screen)
  • Generate Variants Flow (Explore Variations)
  • 💡 Tips
  • 📚 References

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