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customgpt-automation skill

/customgpt-automation

This skill automates Customgpt tasks through Rube MCP, ensuring up-to-date tool schemas are discovered before execution for reliable workflows.

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---
name: customgpt-automation
description: "Automate Customgpt tasks via Rube MCP (Composio). Always search tools first for current schemas."
requires:
  mcp: [rube]
---

# Customgpt Automation via Rube MCP

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

**Toolkit docs**: [composio.dev/toolkits/customgpt](https://composio.dev/toolkits/customgpt)

## Prerequisites

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

### Step 2: Check Connection

```
RUBE_MANAGE_CONNECTIONS
toolkits: ["customgpt"]
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 Customgpt-specific use case |
| Connect | `RUBE_MANAGE_CONNECTIONS` with toolkit `customgpt` |
| 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](https://composio.dev)*

Overview

This skill automates Customgpt tasks through Composio's Customgpt toolkit using Rube MCP. It provides a reliable pattern for discovering tool schemas, managing toolkit connections, and executing multi-tool workflows safely. The workflow emphasizes dynamic discovery and schema compliance to avoid broken automation.

How this skill works

First call RUBE_SEARCH_TOOLS to retrieve current tool slugs, input schemas, and execution guidance. Then verify or establish an active Customgpt connection via RUBE_MANAGE_CONNECTIONS. Finally run actions using RUBE_MULTI_EXECUTE_TOOL (including a memory object) or orchestrate bulk runs with RUBE_REMOTE_WORKBENCH.

When to use it

  • Automating Customgpt operations that require up-to-date tool schemas
  • Running multi-step workflows across Composio tools via Rube MCP
  • Building repeatable integrations that must validate connection state first
  • Performing bulk or remote workbench runs for batch processing
  • Orchestrating tool chains where schema changes are likely

Best practices

  • Always call RUBE_SEARCH_TOOLS first — tool schemas and slugs change frequently
  • Check RUBE_MANAGE_CONNECTIONS shows ACTIVE for the customgpt toolkit before executing
  • Supply the exact field names and types returned by the search results; don’t hardcode inputs
  • Include a memory object (even if empty {}) with RUBE_MULTI_EXECUTE_TOOL calls
  • Reuse session IDs inside a workflow; generate new session IDs for separate workflows
  • Handle pagination tokens when searching tools or listing results

Example use cases

  • Discover available Customgpt actions, then run an automated content generation pipeline
  • Validate and refresh a Customgpt connection before scheduled workflow runs
  • Batch-process many prompts using RUBE_REMOTE_WORKBENCH and run_composio_tool() for throughput
  • Build a monitoring job that searches for schema changes and alerts on incompatible fields
  • Chain several Composio tools discovered at runtime to transform data and publish outputs

FAQ

Do I need API keys to use Rube MCP?

No API keys are required; add https://rube.app/mcp as an MCP server in your client configuration and the MCP endpoint works.

What if a tool slug changes after I hardcoded it?

If you hardcode slugs you risk failures. Always run RUBE_SEARCH_TOOLS at the start of a workflow to obtain current slugs and schemas.