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Automations77k · #950

bigml-automation

Helps your agent automate tasks using the BigML platform. It can create and manage machine learning models. This simplifies the application of artificial intelligence.

What it does

This tool helps you automate tasks on BigML, a machine learning platform. It uses a system called Rube MCP to connect and perform these tasks.

When to use it

  • ✓When you need to create a machine learning model on BigML.
  • ✓When you want to predict outcomes using an existing BigML model.
  • ✓When you need to manage your datasets on the BigML platform.

Example of what to ask your AI

“Create a sales prediction model using my customer data.”

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/bigml-automation/SKILL.md

Ready-to-paste message

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

First, the tool checks which BigML commands are available and if the connection is active. Then, it executes the specific command you requested, ensuring everything is done correctly.

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 bigml-automation

Or download just the file:

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

Original text by the author, straight from GitHub.

Bigml Automation via Rube MCP

Automate Bigml operations through Composio's Bigml toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/bigml

Prerequisites

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

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS
toolkits: ["bigml"]
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 Bigml-specific use case
Connect RUBE_MANAGE_CONNECTIONS with toolkit bigml
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 is Rube MCP?

It's a system that helps connect and automate tasks across different tools, like BigML, without needing complicated API keys.

Do I need to know how to code to use this?

No, you just need to describe what you want to do in plain language. The tool handles the technical part.

What happens if the connection fails?

The tool will guide you to complete the connection setup, usually by asking you to follow a link for authorization.

Details

Original description by the author

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

repo: ComposioHQ/awesome-claude-skills

Popularity

GitHub stars
77k
Ranking position
#950
License
—
Updated
9/18/2026

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