$ ~/registry/skill/composiohq-composio-skills-gan-ai-automation

SKILL

gan-ai-automation

Discover and run Gan AI tools through Rube MCP for workflow automation.

Stars

★ 73,862

Source

GitHub

Updated

2026-08-29

// securityLow risk

Prompt only, no code
Open source
Community-trusted· 73.9k

Running security audit…

Credentials
Network egress
Code execution
Data access
Supply chain

// install

Copy the install command and let the AI configure it · recommended for beginners

Please install the "gan-ai-automation" skill from askskill:
1. Download https://raw.githubusercontent.com/ComposioHQ/awesome-claude-skills/master/composio-skills/gan-ai-automation/SKILL.md
2. Save it as ~/.claude/skills/gan-ai-automation/SKILL.md
3. Reload skills and tell me it's ready

// download

Download SKILL.mdInstall manifest ↗

// use cases

Dynamically select tools for a Gan AI workflow

Developers or automation engineers can search for currently available Gan AI tools and schemas before execution, avoiding hardcoded parameters when interfaces change. This makes workflow automation more reliable.

Validate connection status before execution

Before running Gan AI tools, users can verify whether the `gan_ai` connection is ACTIVE and complete authorization if needed. This helps reduce failures and troubleshooting time.

Run multi-step automation with session reuse

When a task includes discovery, connection checks, and tool execution, users can run the whole process within the same session. This preserves context and follows the documented workflow pattern.

// docs

AI summary

The README explains how to automate Gan AI operations through Rube MCP with Composio’s Gan AI toolkit. It covers prerequisites, connection setup and activation, the required search-first workflow, and execution through discovered tool schemas. It also highlights important pitfalls such as session reuse, schema compliance, always including the memory parameter, and handling pagination, plus a quick reference for the main Rube actions.

Show full docs ▾

Gan AI Automation via Rube MCP

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

Toolkit docs: composio.dev/toolkits/gan_ai

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
Active Gan AI connection via RUBE_MANAGE_CONNECTIONS with toolkit gan_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 gan_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: "Gan 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 Gan AI task"}]
session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS
toolkits: ["gan_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

Operation	Approach
Find tools	`RUBE_SEARCH_TOOLS` with Gan AI-specific use case
Connect	`RUBE_MANAGE_CONNECTIONS` with toolkit `gan_ai`
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

What does this skill do?

It automates Gan AI operations through Rube MCP using Composio’s Gan AI toolkit. The docs emphasize searching for tools first, then checking the connection, and finally executing with the returned schema.

What are the prerequisites before using it?

Your client must have Rube MCP connected, and `RUBE_SEARCH_TOOLS` must be available. You also need an active connection for toolkit `gan_ai` via `RUBE_MANAGE_CONNECTIONS`.

Why must I search for tools first instead of calling them directly?

Because tool schemas can change, the docs explicitly require using `RUBE_SEARCH_TOOLS` first to get the current tool slugs and argument structures. Otherwise, calls may fail due to mismatched field names, types, or execution patterns.

Automate Gamma tasks through Rube MCP to streamline presentation workflows.

ComposioGet→

$ loading_