Get the FREE Ultimate OpenClaw Setup Guide →

modelry-automation

Scanned
npx machina-cli add skill ComposioHQ/awesome-claude-skills/modelry-automation --openclaw
Files (1)
SKILL.md
2.9 KB

Modelry Automation via Rube MCP

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

Toolkit docs: composio.dev/toolkits/modelry

Prerequisites

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

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS
toolkits: ["modelry"]
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

OperationApproach
Find toolsRUBE_SEARCH_TOOLS with Modelry-specific use case
ConnectRUBE_MANAGE_CONNECTIONS with toolkit modelry
ExecuteRUBE_MULTI_EXECUTE_TOOL with discovered tool slugs
Bulk opsRUBE_REMOTE_WORKBENCH with run_composio_tool()
Full schemaRUBE_GET_TOOL_SCHEMAS for tools with schemaRef

Powered by Composio

Source

git clone https://github.com/ComposioHQ/awesome-claude-skills/blob/master/composio-skills/modelry-automation/SKILL.mdView on GitHub

Overview

Automate Modelry operations through Composio's Rube MCP toolkit. The workflow emphasizes discovering current tool schemas with RUBE_SEARCH_TOOLS before every run, and ensuring an ACTIVE Modelry connection via RUBE_MANAGE_CONNECTIONS. This keeps tool usage up to date and execution reliable.

How This Skill Works

Connect Rube MCP by adding the MCP endpoint. Use RUBE_SEARCH_TOOLS to fetch available Modelry tools and their input schemas. When ready, verify an ACTIVE connection with RUBE_MANAGE_CONNECTIONS, then execute a selected tool with RUBE_MULTI_EXECUTE_TOOL, supplying the discovered tool_slug, proper arguments, memory, and session_id.

When to Use It

  • Starting a new Modelry workflow: always search tools first to get current schemas.
  • Automating a sequence of Modelry tasks in a session: reuse session_id to maintain context.
  • Before any execution, ensure RUBE_MANAGE_CONNECTIONS shows ACTIVE before running tools.
  • Handling tool schema changes: re-fetch schemas rather than hardcoding slugs.
  • Bulk operations or batch runs using RUBE_REMOTE_WORKBENCH or multi-execute patterns.

Quick Start

  1. Step 1: Verify RUBE_SEARCH_TOOLS responds and fetch tool schemas.
  2. Step 2: Connect to Modelry via RUBE_MANAGE_CONNECTIONS and ensure ACTIVE.
  3. Step 3: Execute a tool with RUBE_MULTI_EXECUTE_TOOL using the discovered tool_slug, correct arguments, memory, and an active session_id.

Best Practices

  • Always call RUBE_SEARCH_TOOLS before any run to grab current tool slugs and schemas.
  • Confirm RUBE_MANAGE_CONNECTIONS status is ACTIVE before execution.
  • Use exact field names and types from the search results; avoid hardcoding.
  • Always include memory in RUBE_MULTI_EXECUTE_TOOL calls (even if empty).
  • Reuse session IDs within a workflow, but generate new IDs for new workflows.

Example Use Cases

  • Discover tools for a specific Modelry task and execute the chosen tool.
  • Establish an ACTIVE connection and run a tool with discovered input args.
  • Continue a long-running workflow by reusing a session_id across steps.
  • Update a workflow after tool schemas change by re-running RUBE_SEARCH_TOOLS.
  • Perform a bulk operation using RUBE_REMOTE_WORKBENCH to run multiple tools.

Frequently Asked Questions

Add this skill to your agents
Sponsor this space

Reach thousands of developers