PromptShop

Conveyor Automation

This skill automates conveyor operations using the Composio Conveyor toolkit via Rube MCP. It is designed for users who need to manage and control conveyor s...

Install

npx promptshop add conveyor-automation

Details

What This Skill Does

This skill automates conveyor operations using the Composio Conveyor toolkit via Rube MCP. It is designed for users who need to manage and control conveyor systems programmatically. The skill ensures proper setup, tool discovery, and execution while avoiding common pitfalls.

When to Use

Automate package routing on a conveyor belt. Dynamically adjust conveyor speed. Monitor conveyor system status. Trigger alerts for conveyor malfunctions. Integrate conveyor control with warehouse systems.

Key Features

Uses Rube MCP for conveyor automation. Requires active Conveyor connection. Employs RUBE_SEARCH_TOOLS for tool discovery. Provides a core workflow pattern for execution. Highlights common pitfalls and solutions. Uses Composio's Conveyor toolkit.

Conveyor Automation via Rube MCP

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

Toolkit docs: composio.dev/toolkits/conveyor

Prerequisites

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

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS toolkits: ["conveyor"] 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 Conveyor-specific use case
ConnectRUBE_MANAGE_CONNECTIONS with toolkit conveyor
ExecuteRUBE_MULTI_EXECUTE_TOOL with discovered tool slugs
Bulk opsRUBE_REMOTE_WORKBENCH with run_composio_tool()
Full schemaRUBE_GET_TOOL_SCHEMAS for tools with schema
Ref