plugins/stitch-design/skills/upload-to-stitch/SKILL.md
Upload local assets (images, mockups, extracted HTML) to a Stitch project. ALWAYS use this skill when you need to upload visual assets or full HTML pages to Stitch, particularly when direct MCP tool calls fail or truncate due to base64 token limits.
npx skillsauth add google-labs-code/stitch-skills stitch::upload-to-stitchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Upload local assets (images, mockups, HTML files) to a Stitch project using the provided upload script, which bypasses the MCP tool's base64 output token limits.
[!NOTE] The AI model cannot upload files via MCP tools directly because the base64 encoding of even a small file exceeds the model's output token limit (~16K tokens). This script reads the file and sends it directly over HTTP.
Use list_projects to find the correct projectId.
Locate your active MCP server configuration file and extract the API key:
.gemini/antigravity/mcp_config.json or .gemini/jetski/mcp_config.json~/.gemini/settings.json or ~/.gemini/extensions/Stitch/gemini-extension.json~/.claude.jsonExtract:
X-Goog-Api-Key header or auth argumenthttpUrl or endpoint argument (defaults to
https://stitch.googleapis.com)[!IMPORTANT] If you cannot find the API key in any of these locations, or if you cannot access these files, you MUST ask the user to provide the Stitch API key. Do not proceed without a valid API key.
[!WARNING] Checkpoint — User Confirmation Required. Before running the upload script, you MUST pause and present the file(s) to be uploaded (paths, sizes, and types) to the user and wait for explicit approval. Do NOT execute the upload script until the user confirms.
Use run_command to execute the Python script:
python3 <SKILL_DIR>/scripts/upload_to_stitch.py \
--project-id <PROJECT_ID> \
--file-path <PATH_TO_FILE> \
--api-key <API_KEY> \
[--api-url <STITCH_API_URL>] \
[--title <SCREEN_TITLE>]
[!TIP] macOS / SSL Certificate Troubleshooting: If the upload fails with
ssl.SSLCertVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED] unable to get local issuer certificate, this means your Python installation does not have root certificate authorities configured. Fix it by prependingSSL_CERT_FILEusing thecertifibundle:SSL_CERT_FILE=$(python3 -c "import certifi; print(certifi.where())") python3 <SKILL_DIR>/scripts/upload_to_stitch.py \ --project-id <PROJECT_ID> \ --file-path <PATH_TO_FILE> \ --api-key <API_KEY>
| Extension | MIME Type |
|:---|:---|
| .png | image/png |
| .jpg, .jpeg | image/jpeg |
| .webp | image/webp |
| .html, .htm | text/html |
The script auto-detects MIME type from the file extension.
--api-url defaults to https://stitch.googleapis.com--api-key is requiredscreenType is set to DOCUMENT; for images, IMAGEdevelopment
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