# Stitch::upload To Stitch

Upload local assets (images, mockups, extracted HTML, design markdown) to a Stitch...

- Repository: https://github.com/google-labs-code/stitch-skills (8654 stars)
- Category: Design
- License: Apache-2.0
- Last updated: 2026-08-17
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add google-labs-code/stitch-skills --skill stitch::upload-to-stitch -g -a claude-code -y`
Codex: `npx skills add google-labs-code/stitch-skills --skill stitch::upload-to-stitch -g -a codex -y`
Cursor: `npx skills add google-labs-code/stitch-skills --skill stitch::upload-to-stitch -g -a cursor -y`
Gemini CLI: `npx skills add google-labs-code/stitch-skills --skill stitch::upload-to-stitch -g -a gemini-cli -y`

## Description

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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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.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:

```bash
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>]
```

The rest: https://github.com/google-labs-code/stitch-skills/blob/HEAD/plugins/stitch-design/skills/upload-to-stitch/SKILL.md