Skip to main content
NEW · APP STORE Now on iOS · macOS · iPad Android & Windows soon GET IT
Prompts Async Interview Automation via Rube MCP

agent tool_use skill risk: high

Async Interview Automation via Rube MCP

Instructs the model to automate Async Interview operations through Composio's toolkit via Rube MCP by first calling RUBE_SEARCH_TOOLS, managing connections with RUBE_MANAGE_CONNECT…

  • Policy sensitive
  • Human review
  • External action: high

SKILL 1 file

SKILL.md
---
name: async-interview-automation
description: "Automate Async Interview tasks via Rube MCP (Composio). Always search tools first for current schemas."
---
# Async Interview Automation via Rube MCP

Automate Async Interview operations through Composio's Async Interview toolkit via Rube MCP.

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

## Prerequisites

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

### Step 2: Check Connection

```
RUBE_MANAGE_CONNECTIONS
toolkits: ["async_interview"]
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 Async Interview-specific use case |
| Connect | `RUBE_MANAGE_CONNECTIONS` with toolkit `async_interview` |
| 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)*

REQUIRED CONTEXT

  • RUBE_SEARCH_TOOLS availability
  • async_interview toolkit connection status

OPTIONAL CONTEXT

  • specific use_case for tool search
  • existing session_id

TOOLS REQUIRED

  • RUBE_SEARCH_TOOLS
  • RUBE_MANAGE_CONNECTIONS
  • RUBE_MULTI_EXECUTE_TOOL
  • RUBE_GET_TOOL_SCHEMAS
  • RUBE_REMOTE_WORKBENCH

ROLES & RULES

  1. Always search tools first for current schemas
  2. Always call RUBE_SEARCH_TOOLS first to get current tool schemas
  3. Always discover available tools before executing workflows
  4. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
  5. Call RUBE_MANAGE_CONNECTIONS with toolkit async_interview
  6. Confirm connection status shows ACTIVE before running any workflows
  7. Never hardcode tool slugs or arguments without calling RUBE_SEARCH_TOOLS
  8. Verify RUBE_MANAGE_CONNECTIONS shows ACTIVE status before executing tools
  9. Use exact field names and types from the search results
  10. Always include memory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty
  11. Reuse session IDs within a workflow
  12. Generate new session IDs for new workflows
  13. Check responses for pagination tokens and continue fetching until complete

EXPECTED OUTPUT

Format
markdown
Constraints
  • always call RUBE_SEARCH_TOOLS first
  • verify ACTIVE connection before execution
  • use exact schemas from search results
  • include memory parameter even if empty

SUCCESS CRITERIA

  • Verify Rube MCP is available
  • Confirm connection status shows ACTIVE
  • Discover tools via RUBE_SEARCH_TOOLS before execution
  • Use schema-compliant arguments from search results

FAILURE MODES

  • Hardcoding tool slugs or arguments without searching first
  • Executing tools without ACTIVE connection status
  • Omitting memory parameter in RUBE_MULTI_EXECUTE_TOOL
  • Failing to reuse session IDs within a workflow

CAVEATS

Dependencies
  • Rube MCP must be connected
  • Active Async Interview connection via RUBE_MANAGE_CONNECTIONS
  • RUBE_SEARCH_TOOLS available
Missing context
  • Target execution environment or client (e.g., specific LLM or agent framework)
  • Expected response format when the workflow succeeds or fails
Ambiguities
  • Placeholder 'your specific Async Interview task' is mentioned but not illustrated with an example.
  • 'session: {generate_id: true}' syntax is shown without explaining how the ID is generated or returned.

QUALITY

OVERALL
0.76
CLARITY
0.78
SPECIFICITY
0.82
REUSABILITY
0.68
COMPLETENESS
0.75

IMPROVEMENT SUGGESTIONS

  • Replace the inline code blocks with explicit JSON argument examples that include realistic values.
  • Add a short 'Example end-to-end call sequence' section showing one complete successful run.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

MORE FOR AGENT