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Prompts Conveyor Automation via Rube MCP

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Conveyor Automation via Rube MCP

Instructs on automating Conveyor operations through Composio's Conveyor toolkit via Rube MCP, including prerequisites, setup steps, tool discovery with RUBE_SEARCH_TOOLS, connectio…

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  • External action: high

SKILL 1 file

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

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

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

## Prerequisites

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

### Step 2: Check Connection

```
RUBE_MANAGE_CONNECTIONS
toolkits: ["conveyor"]
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 Conveyor-specific use case |
| Connect | `RUBE_MANAGE_CONNECTIONS` with toolkit `conveyor` |
| 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 MCP connection
  • active Conveyor connection via RUBE_MANAGE_CONNECTIONS

OPTIONAL CONTEXT

  • existing session_id

TOOLS REQUIRED

  • RUBE_SEARCH_TOOLS
  • RUBE_MANAGE_CONNECTIONS
  • RUBE_MULTI_EXECUTE_TOOL
  • RUBE_REMOTE_WORKBENCH
  • RUBE_GET_TOOL_SCHEMAS

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. Never hardcode tool slugs or arguments without calling `RUBE_SEARCH_TOOLS`
  5. Verify `RUBE_MANAGE_CONNECTIONS` shows ACTIVE status before executing tools
  6. Use exact field names and types from the search results
  7. Always include `memory` in `RUBE_MULTI_EXECUTE_TOOL` calls, even if empty
  8. Reuse session IDs within a workflow
  9. Generate new session IDs for new workflows
  10. Check responses for pagination tokens and continue fetching until complete

EXPECTED OUTPUT

Format
markdown
Constraints
  • include setup steps
  • always start with RUBE_SEARCH_TOOLS
  • list known pitfalls

SUCCESS CRITERIA

  • Search tools first
  • Verify ACTIVE connection status
  • Use schema-compliant arguments from search results
  • Include memory parameter on execute calls
  • Reuse sessions within a workflow

FAILURE MODES

  • Hardcoding tool slugs without prior search
  • Executing before confirming ACTIVE connection
  • Omitting memory parameter
  • Ignoring pagination tokens

EXAMPLES

Includes multiple example RUBE_* tool calls (SEARCH_TOOLS, MANAGE_CONNECTIONS, MULTI_EXECUTE_TOOL) with sample arguments and session handling.

CAVEATS

Dependencies
  • Rube MCP connected (RUBE_SEARCH_TOOLS available)
  • Active Conveyor connection via RUBE_MANAGE_CONNECTIONS
Missing context
  • Target user role or technical background
  • Concrete example tasks or use cases
  • Error handling or fallback behavior
Ambiguities
  • Does not define what 'Conveyor' refers to or its domain scope.
  • Placeholders such as 'your specific Conveyor task' are left unspecified.
  • Does not clarify expected output format or success criteria for workflows.

QUALITY

OVERALL
0.76
CLARITY
0.82
SPECIFICITY
0.78
REUSABILITY
0.71
COMPLETENESS
0.75

IMPROVEMENT SUGGESTIONS

  • Replace the generic placeholder 'your specific Conveyor task' with 2-3 concrete example queries.
  • Add a short 'What this prompt produces' section describing the expected final output format.
  • Include a minimal end-to-end example call sequence with realistic values.

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.

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