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rev-ai-automation skill

/rev-ai-automation

This skill automates Rev AI tasks via Rube MCP, ensuring tool schemas are current before execution to reduce errors.

npx playbooks add skill composiohq/awesome-claude-skills --skill rev-ai-automation

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

# Rev AI Automation via Rube MCP

Automate Rev AI operations through Composio's Rev AI toolkit via Rube MCP.

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

## Prerequisites

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

### Step 2: Check Connection

```
RUBE_MANAGE_CONNECTIONS
toolkits: ["rev_ai"]
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 Rev AI-specific use case |
| Connect | `RUBE_MANAGE_CONNECTIONS` with toolkit `rev_ai` |
| 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 Rev AI tasks through Composio’s Rev AI toolkit using the Rube MCP orchestration layer. It provides a repeatable pattern for discovering available tools, verifying connections, and executing operations while respecting live tool schemas. Follow the search-first approach to avoid schema drift and ensure reliable workflows.

How this skill works

The skill first calls RUBE_SEARCH_TOOLS to discover current tool slugs, input schemas, and recommended execution plans. It then verifies that a Rev AI connection is ACTIVE via RUBE_MANAGE_CONNECTIONS. Finally it runs one or more operations with RUBE_MULTI_EXECUTE_TOOL (or bulk via RUBE_REMOTE_WORKBENCH), always supplying memory and a session id and using schema-compliant arguments.

When to use it

  • Automating transcription, diarization, or caption tasks with Rev AI from an agent.
  • Integrating Rev AI features into larger Claude-driven workflows or pipelines.
  • Running bulk or repeated Rev AI operations where tool schemas may change.
  • Building reproducible agent tasks that require session and connection management.
  • Debugging or validating available Rev AI tool capabilities before execution.

Best practices

  • Always call RUBE_SEARCH_TOOLS first and use the returned schemas; never hardcode tool slugs or fields.
  • Verify Rev AI connection status with RUBE_MANAGE_CONNECTIONS and complete auth flows if not ACTIVE.
  • Include a memory object (even an empty {}) in RUBE_MULTI_EXECUTE_TOOL calls and reuse session IDs per workflow.
  • Respect field types and names exactly as returned by the search results to avoid schema validation errors.
  • Handle pagination tokens from search responses and fetch until the result set is complete.

Example use cases

  • Discover available Rev AI operations, confirm connection, then transcribe a batch of audio files using discovered tool inputs.
  • Run a multi-step workflow that performs speaker diarization followed by caption generation and stores results in downstream systems.
  • Perform bulk processing using RUBE_REMOTE_WORKBENCH and run_composio_tool() for high-throughput transcription jobs.
  • Validate tool schema changes by polling RUBE_GET_TOOL_SCHEMAS and adjusting agent arguments before execution.

FAQ

What is the first call I must make every run?

Always call RUBE_SEARCH_TOOLS to retrieve current tool slugs, input schemas, and recommended execution plans.

What if the Rev AI connection is not active?

Call RUBE_MANAGE_CONNECTIONS for the rev_ai toolkit, follow any returned auth link, and confirm status is ACTIVE before executing tools.