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BAKUGOS1BAKUGOS1/SkilledAgents-Toolkit/skills/codex/upload-to-stitch/SKILL.md

stitch::upload-to-stitch

Skill0 starsChanged 5 months agoMITView on GitHub

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.

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2 other projects use a version of this, 2 of them edited.

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We split this skill into the rules it gives an agent

2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

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    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use list_projects to find the correct projectId.

    line 30
  2. Very specific:

    Use run_command to execute the Python script:

    line 55

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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SKILL.md

Upload-to-Stitch

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.

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.json or .gemini/jetski/mcp_config.json
  • Gemini CLI: ~/.gemini/settings.json or ~/.gemini/extensions/Stitch/gemini-extension.json
  • Claude Code: ~/.claude.json

Extract:

  • API Key: From the X-Goog-Api-Key header or auth argument
  • MCP URL (optional): From the httpUrl 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.

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>]

[!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 prepending SSL_CERT_FILE using the certifi bundle:

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>

Supported File Types

ExtensionMIME Type
.pngimage/png
.jpg, .jpegimage/jpeg
.webpimage/webp
.html, .htmtext/html

The script auto-detects MIME type from the file extension.

Script Defaults

  • --api-url defaults to https://stitch.googleapis.com
  • --api-key is required
  • Screen instances are automatically created for display
  • For HTML files, screenType is set to DOCUMENT; for images, IMAGE

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