What is the first action to start using amazon-automation?

Call RUBE_SEARCH_TOOLS to fetch current tool schemas for the Amazon toolkit, then proceed.

How do I connect to the Amazon toolkit?

Add the Rube MCP endpoint and use RUBE_MANAGE_CONNECTIONS with the amazon toolkit, then ensure the connection status is ACTIVE.

What must be included in RUBE_MULTI_EXECUTE_TOOL calls?

Include the memory parameter (even if empty), use the exact field names and types from the discovered schemas, and pass a valid session_id.

amazon-automation

npx machina-cli add skill ComposioHQ/awesome-claude-skills/amazon-automation --openclaw

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SKILL.md

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Amazon Automation via Rube MCP

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

Toolkit docs: composio.dev/toolkits/amazon

Prerequisites

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

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS
toolkits: ["amazon"]
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 Amazon-specific use case
Connect	`RUBE_MANAGE_CONNECTIONS` with toolkit `amazon`
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/amazon-automation/SKILL.mdView on GitHub

Overview

Automate Amazon operations via Composio's Amazon toolkit using Rube MCP. This approach emphasizes discovering current tool schemas with RUBE_SEARCH_TOOLS before running any workflows and ensuring an ACTIVE Amazon connection. It streamlines repetitive tasks like inventory checks, order handling, and price updates.

How This Skill Works

Connect Rube MCP and verify that RUBE_SEARCH_TOOLS is available, then manage the Amazon connection with RUBE_MANAGE_CONNECTIONS. Discover tool slugs and input schemas, then execute them with RUBE_MULTI_EXECUTE_TOOL, passing a session_id and a memory object (even if empty).

When to Use It

Automate routine Amazon operations such as inventory checks or price updates using the Amazon toolkit.
When tool schemas change, fetch current slugs and arguments with RUBE_SEARCH_TOOLS before running.
Before workflows, verify the Amazon connection is ACTIVE via RUBE_MANAGE_CONNECTIONS.
Execute multi-step workflows by discovering tools, checking connectivity, then running tools with RUBE_MULTI_EXECUTE_TOOL.
Handle large tasks by reusing session IDs and managing pagination tokens from tool responses.

Quick Start

Step 1: Add Rube MCP as an MCP server at https://rube.app/mcp in your client config.
Step 2: Verify RUBE_SEARCH_TOOLS responds and connect the Amazon toolkit with RUBE_MANAGE_CONNECTIONS; ensure ACTIVE.
Step 3: Discover tools with RUBE_SEARCH_TOOLS, then execute the chosen tool with RUBE_MULTI_EXECUTE_TOOL using memory and a session_id.

Best Practices

Always call RUBE_SEARCH_TOOLS first to get current tool schemas.
Verify RUBE_MANAGE_CONNECTIONS shows ACTIVE before executing tools.
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 and generate new ones for new workflows; watch for pagination tokens.

Example Use Cases

Daily inventory sync: discover Amazon tools and run stock/price update tools to align listings.
Process recent orders: ensure ACTIVE connection, then run an order check tool and reconcile results.
Update product listings: fetch current schemas and execute a tool to adjust price and stock levels.
Multi-step workflow: check connection, then run stock check, pricing, and confirmation tools in sequence.
Pagination handling: iterate through tool results using pagination tokens to complete batch tasks.

Frequently Asked Questions

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