Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Design, preview, and generate UI code using Google Stitch (via MCP). Helps developers choose the best UI by generating previews first, allowing iteration, and then exporting code.
Design, preview, and generate UI code using Google Stitch (via MCP). Helps developers choose the best UI by generating previews first, allowing iteration, and then exporting code.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
This skill allows you to design high-quality user interfaces using Google Stitch.
Follow this process to help the user design a UI: Setup (First Time Only) Check if the stitch server is configured in mcporter. If not, configure it: mcporter config add stitch --command "npx" --args "-y stitch-mcp-auto" Ensure the user is authenticated with Google Cloud (the tool may prompt for gcloud auth). Generate & Preview Ask for a description of the interface (e.g., "Login screen for a crypto app"). Use stitch.generate_screen_from_text with the prompt. Important: This returns a screenId. Immediately fetch the preview image using stitch.fetch_screen_image(screenId). Show the image to the user. Do not fetch the code yet. Iterate & Customize Ask the user for feedback on the preview. If changes are needed, use stitch.generate_screen_from_text again (potentially using stitch.extract_design_context from the previous screen to maintain style) or just refine the prompt. Show the new preview. Export Code Once the user approves the design ("This looks great"), fetch the code. Use stitch.fetch_screen_code(screenId). Present the HTML/CSS code or save it to a file as requested.
Call these using mcporter call stitch.<tool_name> <args>: generate_screen_from_text Args: prompt (string), projectId (optional, usually auto-detected by stitch-mcp-auto) Returns: screenId, name, url Use this to start a design. fetch_screen_image Args: screenId (string) Returns: Image data (display this to the user). Use this to show the preview. fetch_screen_code Args: screenId (string) Returns: html (string), css (string), etc. Use this ONLY after user approval. create_project Args: name (string) Use if no project exists.
Project Context: stitch-mcp-auto tries to manage the project ID automatically. If you get errors about missing project IDs, ask the user to create or select a Google Cloud project first using create_project or by setting the GOOGLE_CLOUD_PROJECT env var. Preview First: Always prioritize the visual preview. Generating code for a bad design wastes tokens and time. Stitch MCP Auto: We use stitch-mcp-auto because it handles the complex Google auth setup more gracefully than the standard package.
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