How do I install the Upload To Stitch skill?

Run npx skillmds@latest add muhammedadnank/upload-to-stitch in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Upload To Stitch safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Upload To Stitch?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Upload To Stitch free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Upload To Stitch?

muhammedadnank (@muhammedadnank) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Upload To Stitch by muhammedadnank — Agent Skill

Name: Upload To Stitch
Author: muhammedadnank

Upload To Stitch

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.

File contents

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

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.

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

---name: upload-to-stitchdescription: 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.---# Upload-to-StitchUpload local assets (images, mockups, HTML files) to a Stitch project using theprovided 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 ProjectUse `list_projects` to find the correct `projectId`.### 2. Get the API KeyLocate 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:```bashpython3 <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:> ```bash> 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| 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.### 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`

Frequently asked questions