Stitch::upload To Stitch
Upload local assets (images, mockups, extracted HTML, design markdown) to a Stitch...
Install
npx skills add google-labs-code/stitch-skills --skill stitch::upload-to-stitch -g -a claude-code -y- Repository
- google-labs-code/stitch-skills8.7k
- Category
- Design
- Updated
- 3mo ago
- License
- Apache-2.0
- Context cost
- Lightabout 944 tokens
- Runs scripts
- Yes, review before use
What it does
Upload local assets (images, mockups, extracted HTML, design markdown) to a Stitch project. ALWAYS use this skill when you need to upload visual assets, HTML pages, or design docs to Stitch, particularly when direct MCP tool calls fail or truncate due to base64 token limits.
Upload-to-Stitch
Upload local assets (images, mockups, HTML, and markdown 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.
Steps
1. Identify Target Project
Use list_projects to find the correct projectId.
2. Get the API Key
Locate your active MCP server configuration file and extract the API key:
- Antigravity:
.gemini/antigravity/mcp_config.jsonor.gemini/jetski/mcp_config.json - Gemini CLI:
~/.gemini/settings.jsonor~/.gemini/extensions/Stitch/gemini-extension.json - Claude Code:
~/.claude.json
Extract:
- API Key: From the
X-Goog-Api-Keyheader or auth argument - MCP URL (optional): From the
httpUrlor endpoint argument (defaults tohttps://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.
3. Run Upload Script
[!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>] \
[--generated-by <GENERATED_BY>]
