What are the prerequisites to use this skill?

Rube MCP must be connected, RUBE_SEARCH_TOOLS must be available, and there must be an ACTIVE college_football_data connection via RUBE_MANAGE_CONNECTIONS.

Why must I call RUBE_SEARCH_TOOLS first?

Tool schemas change over time; discovering current tool slugs and required arguments ensures you interact with up-to-date interfaces.

What must I include in RUBE_MULTI_EXECUTE_TOOL calls?

Always include a memory object (even if empty) and use the exact field names and types from the search results; reuse the session_id for continuity.

college-football-data-automation

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SKILL.md

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College Football Data Automation via Rube MCP

Automate College Football Data operations through Composio's College Football Data toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/college_football_data

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
Active College Football Data connection via RUBE_MANAGE_CONNECTIONS with toolkit college_football_data
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 college_football_data
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: "College Football Data 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 College Football Data task"}]
session: {id: "existing_session_id"}

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS
toolkits: ["college_football_data"]
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 College Football Data-specific use case
Connect	`RUBE_MANAGE_CONNECTIONS` with toolkit `college_football_data`
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

Source

git clone https://github.com/ComposioHQ/awesome-claude-skills/blob/master/composio-skills/college-football-data-automation/SKILL.md

View on GitHub

Overview

This skill automates College Football Data tasks using Composio's Rube MCP toolkit. It emphasizes discovering current tool schemas before use and ensuring an ACTIVE college_football_data connection to keep workflows resilient and up-to-date.

How This Skill Works

You first discover available tools with RUBE_SEARCH_TOOLS, then verify the ACTIVE connection via RUBE_MANAGE_CONNECTIONS for the college_football_data toolkit, and finally execute tools using RUBE_MULTI_EXECUTE_TOOL with the correct arguments and a memory payload. Always reference the latest schemas and reuse session IDs within a workflow.

When to Use It

When you need current, schema-safe tool options before automating a college football data task
When setting up or verifying a Rube MCP connection to the college_football_data toolkit
When choosing specific data operations after a tool discovery
When executing tools to fetch or update college football data in a sessionized workflow
When handling paginated results or ensuring memory parameter presence in multi-tool executions

Quick Start

Step 1: Use RUBE_SEARCH_TOOLS to list available tasks for College Football Data
Step 2: Use RUBE_MANAGE_CONNECTIONS with toolkit 'college_football_data' and ensure ACTIVE
Step 3: Use RUBE_MULTI_EXECUTE_TOOL with a discovered tool slug and proper memory payload

Best Practices

Always call RUBE_SEARCH_TOOLS before any workflow to get current tool schemas
Verify RUBE_MANAGE_CONNECTIONS shows ACTIVE status prior to execution
Use exact field names and types from the search results
Include memory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty
Reuse session IDs within a workflow and handle pagination tokens

Example Use Cases

Discover tools for College Football Data and pull a team's season stats using a discovered tool slug
Connect to the college_football_data toolkit and run a schedule fetch for multiple teams in a single session
Paginate through historical game logs across multiple seasons and compile a dataset
Bulk update player statistics from the latest finished games across teams
Validate tool schemas before deploying an automated daily data update workflow

Frequently Asked Questions

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