| name | stitch-design |
| description | Entry point para trabalho de design com Google Stitch — geração de telas hi-fi e síntese de design system.
|
| source | vendored |
| upstream | https://github.com/google-labs-code/stitch-skills |
| license | MIT |
| allowed-tools | ["stitch*:*","Bash","Read","Write","web_fetch"] |
| added | "2026-05-16T00:00:00.000Z" |
| vendored | "2026-06-05T00:00:00.000Z" |
Generate Design
Create new design screens from text descriptions, images, or mockups, edit
existing screens with prompts and design system tokens, and generate design
variants using Stitch MCP.
[!NOTE]
Refer to your system prompt for instruction on handling MCP tool prefixes for
all tools mentioned in this skill (e.g., list_projects,
generate_screen_from_text, edit_screens).
🎨 Prompt Enhancement Pipeline
Before calling any Stitch generation or editing tool, you MUST enhance the
user's prompt.
1. Analyze Context
- Project: Use
list_projects to find the correct projectId. If no
suitable project exists, create one using create_project.
- Design System: Check if a design system exists for the project via
list_design_systems. If one exists, design tokens (colors, fonts, roundness)
are already applied at the project level — do NOT include any color, font, or
theme instructions in the generation prompt. If none exists, delegate to the
manage-design-system skill first before generating screens.
2. Refine UI/UX Terminology
Consult Design Mappings to replace vague terms.
- Vague: "Make a nice header"
- Professional: "Sticky navigation bar with glassmorphism effect and centered
logo"
Use Prompting Keywords for component names,
adjective palettes, color roles, and shape descriptions.
3. Structure the Final Prompt
Format the enhanced prompt for Stitch. Focus exclusively on layout, content,
and structure — never include colors, fonts, or theme instructions (these are
handled by the manage-design-system skill at the project level).
For new screens, use this template:
[Overall purpose and user intent of the page]
**PLATFORM:** [Web/Mobile], [Desktop/Mobile]-first
**PAGE STRUCTURE:**
1. **Header:** [Description of navigation and branding]
2. **Hero Section:** [Headline, subtext, and primary CTA]
3. **Primary Content Area:** [Detailed component breakdown]
4. **Footer:** [Links and copyright information]
For edits, be specific about what to change:
- Location: "Change the [primary button] in the [hero section]..."
- Visuals: "...to a darker blue (#004080) and add a subtle shadow."
- Structure: "Add a secondary button next to the primary one with the text
'Learn More'."
[!CAUTION]
Do NOT include hex codes, font names, color palettes, roundness values, or
any design system tokens in a generation prompt. These are applied at the
project level by the manage-design-system skill and will conflict if
duplicated. (For edit prompts, hex codes are acceptable for precise
color adjustments.)
4. Present AI Insights
After any tool call, always surface the outputComponents (Text Description and
Suggestions) to the user.
See examples/enhanced-prompt.md for a full
before/after prompt enhancement example.
Steps
Determine the Mode
Decide which flow to use based on the user's request:
- User wants to create from a text description → Generate from Text flow
- User provides an image, screenshot, or mockup → Generate from Image flow
- User wants to modify an existing screen → Edit flow
- User wants layout/color/content variations → Generate Variants flow
Generate from Text Flow (New Screen)
1. Enhance the User Prompt
Apply the Prompt Enhancement Pipeline above.
2. Identify the Project
Use list_projects to find the correct projectId if it is not already known.
3. Generate the Screen
Call the generate_screen_from_text tool with the enhanced prompt and the
designSystem ID (if found in Step 1).
{
"projectId": "...",
"prompt": "[Your Enhanced Prompt]",
"designSystem": "assets/...",
"deviceType": "DESKTOP"
}
4. Present AI Feedback
Always show the text description and suggestions from outputComponents to the
user.
5. Download Design Assets
After generation, download the HTML and screenshot urls from outputComponents
to the .stitch/designs directory.
- Naming: Use the screen ID or a descriptive slug for the filename.
- Tools: Use
curl -o via run_command or similar.
- Directory: Ensure
.stitch/designs exists.
6. Review and Refine
- If the result is not exactly as expected, continue with the Edit flow
to make targeted adjustments.
- Do NOT re-generate from scratch unless the fundamental layout is wrong.
Generate from Image Flow (Image/Mockup → Design)
Use this flow when the user provides an image, screenshot, or design mockup to
recreate in Stitch.
1. Identify the Project
Use list_projects to find the correct projectId. If no suitable project
exists, create one using create_project.
2. Upload the Image
Delegate to the upload-to-stitch skill to upload the image to the project.
This creates a new screen with the image as its content.
3. Refine with Edit
Once uploaded, use list_screens to find the newly created screenId, then
call edit_screens with a descriptive prompt to refine the design:
{
"projectId": "...",
"selectedScreenIds": ["<uploaded-screen-id>"],
"prompt": "[Describe what to adjust, enhance, or recreate from this mockup]"
}
[!TIP]
For best results, describe the intent behind the image rather than just saying
"make it look like this". For example: "This is a dashboard mockup — recreate
it with a proper data table, sidebar navigation, and chart widgets."
4. Present AI Feedback
Always show the text description and suggestions from outputComponents to the
user.
5. Download Design Assets
Download the HTML and screenshot urls from outputComponents to the
.stitch/designs directory.
- Naming: Use the screen ID or a descriptive slug for the filename.
- Tools: Use
curl -o via run_command or similar.
- Directory: Ensure
.stitch/designs exists.
Edit Flow (Modify Existing Screen)
1. Identify the Screen
Use list_screens or get_screen to find the correct projectId and
screenId.
2. Formulate the Edit Prompt
Apply the Prompt Enhancement Pipeline, focusing on specificity:
- Location: "Change the color of the [primary button] in the [hero
section]..."
- Visuals: "...to a darker blue (#004080) and add a subtle shadow."
- Structure: "Add a secondary button next to the primary one with the text
'Learn More'."
3. Apply the Edit
Call the edit_screens tool.
{
"projectId": "...",
"selectedScreenIds": ["..."],
"prompt": "[Your targeted edit prompt]"
}
4. Present AI Feedback
Always show the text description and suggestions from outputComponents to the
user.
5. Download Design Assets
After editing, download the updated HTML and screenshot urls from
outputComponents to the .stitch/designs directory, overwriting previous
versions to ensure the local files reflect the latest edits.
- Naming: Use the screen ID or a descriptive slug for the filename.
- Tools: Use
curl -o via run_command or similar.
- Directory: Ensure
.stitch/designs exists.
6. Update Project Metadata
After downloading assets, update .stitch/metadata.json to reflect any changes
(e.g., updated screen titles or new screen IDs from the edit). The metadata
file tracks all screens, their device types, and design system info. See the
manage-design-system skill's examples/metadata.json for the format.
7. Verify and Repeat
- Check the output screen to see if the changes were applied correctly.
- If more polish is needed, repeat the edit flow with a new specific prompt.
Generate Variants Flow (Explore Variations)
Use this flow when the user wants to explore alternative layouts, color schemes,
or content variations of an existing screen.
1. Identify the Screen
Use list_screens or get_screen to find the correct projectId and
screenId.
2. Configure Variant Options
Call the generate_variants tool with the appropriate options:
{
"projectId": "...",
"selectedScreenIds": ["..."],
"prompt": "[Describe the direction for variants]",
"variantOptions": {
"variantCount": 3,
"creativeRange": "EXPLORE",
"aspects": ["LAYOUT", "COLOR_SCHEME"]
}
}
Variant Options:
variantCount: 1–5 variants (default: 3)creativeRange: REFINE (subtle), EXPLORE (balanced), or REIMAGINE
(radical)aspects: Focus on specific dimensions — LAYOUT, COLOR_SCHEME,
IMAGES, TEXT_FONT, TEXT_CONTENT, or leave empty for all
3. Present AI Feedback
Always show the text description and suggestions from outputComponents to the
user.
4. Download Design Assets
Download the variant HTML and screenshot urls from outputComponents to the
.stitch/designs directory.
- Naming: Use the screen ID or a descriptive slug for the filename.
- Tools: Use
curl -o via run_command or similar.
- Directory: Ensure
.stitch/designs exists.
💡 Tips
- Be structural: Break the page down into header, hero, features, and
footer in your prompt.
- Content first: Describe what each section contains (text, images, CTAs)
rather than how it looks.
- Iterative Polish: Prefer editing for targeted adjustments over full
re-generation.
- No theme leakage: Never put hex codes, font names, or color roles in a
generation prompt — the design system handles all visual styling.
- Specify interactions: Mention hover states, animations, and click behavior
rather than visual styling.
- Keep edits focused: One edit at a time is often better than a long list of
changes.
- Reference components: Use professional terms like "navigation bar", "hero
section", "footer", "card grid".
- Precise colors in edits: Use hex codes for exact color matching when
editing existing screens.
📚 References
