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Automations77k · #1207

google-cloud-vision-automation

Helps your agent analyze images with Google Cloud Vision. It can extract text, identify objects, and understand visual content.

What it does

This tool lets you automate tasks using Google Cloud's computer vision technology. It helps the AI find and use the right tools to analyze images or videos.

When to use it

  • ✓When you need to analyze the content of many images.
  • ✓When wanting to automatically extract text from scanned documents.
  • ✓To identify specific objects in photos or videos.

Example of what to ask your AI

“Analyze this image and tell me what you see in it.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/ComposioHQ/awesome-claude-skills/blob/master/composio-skills/google-cloud-vision-automation/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/ComposioHQ/awesome-claude-skills/blob/master/composio-skills/google-cloud-vision-automation/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The AI first searches for available tools for the computer vision task you requested. Then, it connects to Google Cloud Vision and uses the most suitable tool to perform the analysis.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add ComposioHQ/awesome-claude-skills --skill google-cloud-vision-automation

Or download just the file:

curl -L https://raw.githubusercontent.com/ComposioHQ/awesome-claude-skills/master/composio-skills/google-cloud-vision-automation/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Google Cloud Vision Automation via Rube MCP

Automate Google Cloud Vision operations through Composio's Google Cloud Vision toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/google_cloud_vision

Prerequisites

  • Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
  • Active Google Cloud Vision connection via RUBE_MANAGE_CONNECTIONS with toolkit google_cloud_vision
  • Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

  1. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
  2. Call RUBE_MANAGE_CONNECTIONS with toolkit google_cloud_vision
  3. If connection is not ACTIVE, follow the returned auth link to complete setup
  4. Confirm connection status shows ACTIVE before running any workflows

Tool Discovery

Always discover available tools before executing workflows:

RUBE_SEARCH_TOOLS
queries: [{use_case: "Google Cloud Vision operations", known_fields: ""}]
session: {generate_id: true}

This returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.

Core Workflow Pattern

Step 1: Discover Available Tools

RUBE_SEARCH_TOOLS
queries: [{use_case: "your specific Google Cloud Vision task"}]
session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS
toolkits: ["google_cloud_vision"]
session_id: "your_session_id"

Step 3: Execute Tools

RUBE_MULTI_EXECUTE_TOOL
tools: [{
  tool_slug: "TOOL_SLUG_FROM_SEARCH",
  arguments: {/* schema-compliant args from search results */}
}]
memory: {}
session_id: "your_session_id"

Known Pitfalls

  • Always search first: Tool schemas change. Never hardcode tool slugs or arguments without calling RUBE_SEARCH_TOOLS
  • Check connection: Verify RUBE_MANAGE_CONNECTIONS shows ACTIVE status before executing tools
  • Schema compliance: Use exact field names and types from the search results
  • Memory parameter: Always include memory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty ({})
  • Session reuse: Reuse session IDs within a workflow. Generate new ones for new workflows
  • Pagination: Check responses for pagination tokens and continue fetching until complete

Quick Reference

Operation Approach
Find tools RUBE_SEARCH_TOOLS with Google Cloud Vision-specific use case
Connect RUBE_MANAGE_CONNECTIONS with toolkit google_cloud_vision
Execute RUBE_MULTI_EXECUTE_TOOL with discovered tool slugs
Bulk ops RUBE_REMOTE_WORKBENCH with run_composio_tool()
Full schema RUBE_GET_TOOL_SCHEMAS for tools with schemaRef

Powered by Composio

FAQ

Do I need any special setup?

Yes, you need to connect the Google Cloud Vision tool to the Rube MCP system and ensure the connection is active.

What is Rube MCP?

Rube MCP is a system that helps the AI find and use different tools and services, like Google Cloud Vision.

Why does the AI need to search for tools first?

Tools and their instructions (schemas) can change. Always searching ensures the AI uses the most up-to-date and correct information to perform the task.

Details

Original description by the author

Automate Google Cloud Vision tasks via Rube MCP (Composio). Always search tools first for current schemas.

repo: ComposioHQ/awesome-claude-skills

Popularity

GitHub stars
77k
Ranking position
#1207
License
—
Updated
9/18/2026

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