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bigml-automation

Automate Bigml machine learning operations through the Rube MCP gateway.

74.2k|8.5k|Updated Oct 17, 2025
Search Tags:#api#mcp#Automation#Rube#Machine learning#bigml
One-click install
npx skills add https://github.com/ComposioHQ/awesome-claude-skills --skill bigml-automation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bigml-automation
Source: https://github.com/ComposioHQ/awesome-claude-skills/tree/main/composio-skills/bigml-automation
Command: npx skills add https://github.com/ComposioHQ/awesome-claude-skills --skill bigml-automation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the complexity of managing Bigml machine learning workflows by providing a standardized interface for tool discovery, connection management, and execution.

Core Features & Use Cases

  • Tool Discovery: Dynamically fetch current Bigml tool schemas and execution plans via Rube MCP.
  • Connection Management: Verify and manage active Bigml connections to ensure secure and reliable tool execution.
  • Use Case: Automate the lifecycle of machine learning models, from data preparation to model training and evaluation, by chaining Bigml operations through a unified agentic workflow.

Quick Start

Use the bigml-automation skill to discover available tools and execute a machine learning task for your current session.

Frequently Asked Questions about bigml-automation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I discover available Bigml tools?▼

Call the RUBE_SEARCH_TOOLS command with a Bigml-specific use case query to retrieve a list of available tool slugs, input schemas, and execution guidelines.

How do I verify my Bigml connection status?▼

Use the RUBE_MANAGE_CONNECTIONS command with the 'bigml' toolkit argument to check if your connection is currently ACTIVE before attempting any operations.

Can I hardcode tool slugs in my workflows?▼

No, you should never hardcode tool slugs or arguments. Always call RUBE_SEARCH_TOOLS first to ensure you are using the most current schemas and parameters.

What should I include in the RUBE_MULTI_EXECUTE_TOOL call?▼

Always include the 'memory' parameter, even if it is an empty object, along with the tool slug and schema-compliant arguments derived from your search results.

How do I handle long-running Bigml operations?▼

Check the tool responses for pagination tokens and continue fetching data until the operation is complete, ensuring you reuse the same session ID throughout the workflow.

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