16 skills · 63 min

• 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 (opens in a new tab) to replace vague terms.

• Vague: “Make a nice header”
• Professional: “Sticky navigation bar with glassmorphism effect and centered logo”

Use Prompting Keywords (opens in a new tab) 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:

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 (opens in a new tab) 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).

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:

[!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.

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:

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

• Design Mappings (opens in a new tab) — UI/UX keywords and atmosphere descriptors.
• Prompting Keywords (opens in a new tab) — Technical terms Stitch understands best.
• Enhanced Prompt Example (opens in a new tab) — Before/after prompt enhancement.