All Images AI Automation

What This Skill Does

This skill automates All Images AI operations using Composio's toolkit through Rube MCP. It is designed for users who need to streamline image processing tasks by leveraging AI capabilities. The skill ensures proper setup, tool discovery, and execution while adhering to schema compliance.

When to Use

• Automate image analysis workflows.
• Integrate AI image processing into existing systems.
• Dynamically adapt to changing tool schemas.
• Verify active connections before execution.
• Discover available image AI tools.
• Execute multiple image AI tools in sequence.

Key Features

• Connects to All Images AI toolkit via Rube MCP.
• Dynamically discovers available tools and schemas.
• Manages and verifies active connections.
• Executes multiple tools in a single workflow.
• Provides a structured approach to AI automation.
• Offers guidance on avoiding common pitfalls.

Manual Installation

Manual installationView Full Skill ContentThe complete markdown content that gets installedAll Images AI Automation via Rube MCP

Automate All Images AI operations through Composio's All Images AI toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/all_images_ai

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active All Images AI connection via RUBE_MANAGE_CONNECTIONS with toolkit all_images_ai 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.

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

Tool Discovery

Always discover available tools before executing workflows:

RUBE_SEARCH_TOOLS queries: [{use_case: "All Images AI 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 All Images AI task"}] session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS toolkits: ["all_images_ai"] 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

Automate All Images AI operations through Composio's All Images AI toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/all_images_ai

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active All Images AI connection via RUBE_MANAGE_CONNECTIONS with toolkit all_images_ai 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.

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

Tool Discovery

Always discover available tools before executing workflows:

RUBE_SEARCH_TOOLS queries: [{use_case: "All Images AI 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 All Images AI task"}] session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS toolkits: ["all_images_ai"] 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