What is chatbotkit-automation?

It automates Chatbotkit tasks through Composio's toolkit via Rube MCP, always pulling current tool schemas first.

How do I ensure tool schemas are current?

Always call RUBE_SEARCH_TOOLS before execution and avoid hardcoding slugs; use the latest schemas returned by the search.

What if a tool slug changes or the connection fails?

Rerun RUBE_SEARCH_TOOLS to fetch updated slugs and schemas, then re-establish the connection with RUBE_MANAGE_CONNECTIONS and retry execution.

chatbotkit-automation

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SKILL.md

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Chatbotkit Automation via Rube MCP

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

Toolkit docs: composio.dev/toolkits/chatbotkit

Prerequisites

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

Step 2: Check Connection

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

Overview

This skill automates Chatbotkit operations using Composio's toolkit through Rube MCP. It emphasizes discovering current tool schemas before execution and managing connections to ensure tools run against the latest definitions.

How This Skill Works

First discover available tools with RUBE_SEARCH_TOOLS for your use case. Then verify an ACTIVE connection using RUBE_MANAGE_CONNECTIONS and finally execute the chosen tool with RUBE_MULTI_EXECUTE_TOOL, supplying memory and exact schema fields from the discovered tool.

When to Use It

When you need current Chatbotkit tool schemas before building an automation workflow
When establishing or rechecking the ACTIVE status of a Rube MCP connection to chatbotkit
When selecting a discovered tool slug and running it with the correct, schema-aligned arguments
When performing bulk tool executions via RUBE_REMOTE_WORKBENCH and run_composio_tool()
When integrating multi-step workflows and reusing session IDs to maintain context

Quick Start

Step 1: Add https://rube.app/mcp as an MCP server in your client configuration
Step 2: Run RUBE_SEARCH_TOOLS with use_case like 'Chatbotkit operations' to discover tools and schemas
Step 3: Run RUBE_MANAGE_CONNECTIONS for toolkit 'chatbotkit' and then execute a tool with RUBE_MULTI_EXECUTE_TOOL, including memory

Best Practices

Always call RUBE_SEARCH_TOOLS first to get current tool schemas
Check that RUBE_MANAGE_CONNECTIONS shows ACTIVE before executing tools
Use exact field names and types from the search results (no hardcoding)
Always include memory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty
Reuse session IDs within a workflow to maintain context; generate new ones for separate runs

Example Use Cases

Discover tools for a Chatbotkit use case and inspect input schemas to determine required fields
Establish and verify an ACTIVE chatbotkit connection via RUBE_MANAGE_CONNECTIONS before running tools
Execute a discovered tool slug with arguments pulled from the latest tool schema
Perform bulk tool operations using RUBE_REMOTE_WORKBENCH to run multiple tools in one workflow
Fetch full tool schemas with RUBE_GET_TOOL_SCHEMAS to review schemaRef and field definitions

Frequently Asked Questions

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