yelp-automation
Scannednpx machina-cli add skill ComposioHQ/awesome-claude-skills/yelp-automation --openclawYelp Automation via Rube MCP
Automate Yelp operations through Composio's Yelp toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/yelp
Prerequisites
- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
- Active Yelp connection via
RUBE_MANAGE_CONNECTIONSwith toolkityelp - Always call
RUBE_SEARCH_TOOLSfirst 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_TOOLSresponds - Call
RUBE_MANAGE_CONNECTIONSwith toolkityelp - 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: "Yelp 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 Yelp task"}]
session: {id: "existing_session_id"}
Step 2: Check Connection
RUBE_MANAGE_CONNECTIONS
toolkits: ["yelp"]
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_CONNECTIONSshows ACTIVE status before executing tools - Schema compliance: Use exact field names and types from the search results
- Memory parameter: Always include
memoryinRUBE_MULTI_EXECUTE_TOOLcalls, 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 Yelp-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit yelp |
| 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/yelp-automation/SKILL.mdView on GitHub Overview
Yelp Automation via Rube MCP orchestrates Yelp operations using Composio's Yelp toolkit. It relies on discovering current tool schemas with RUBE_SEARCH_TOOLS and verifying an active Yelp connection via RUBE_MANAGE_CONNECTIONS before running workflows. This approach prevents hardcoding slugs and ensures up-to-date execution plans.
How This Skill Works
First, discover available tools with RUBE_SEARCH_TOOLS to obtain current slugs and input schemas. Then check the Yelp connection with RUBE_MANAGE_CONNECTIONS and ensure its status is ACTIVE. Finally, execute a tool using RUBE_MULTI_EXECUTE_TOOL with the discovered slug, a memory object, and the session_id from the discovery step.
When to Use It
- Need to perform a Yelp operation defined by the current tool schemas (e.g., updating business info or responding to reviews) with up-to-date tool definitions.
- Before running any workflow, verify that RUBE_SEARCH_TOOLS has returned tool slugs and input schemas.
- Batch multiple Yelp tasks in a single session, reusing the same session_id.
- Ensure the Yelp connection is ACTIVE via RUBE_MANAGE_CONNECTIONS before execution.
- When creating a new Yelp workflow, start by discovering tools to avoid hardcoding slugs and arguments.
Quick Start
- Step 1: Ensure Rube MCP is connected and check that RUBE_SEARCH_TOOLS responds to confirm you can discover tools.
- Step 2: Run RUBE_SEARCH_TOOLS with the Yelp use case to retrieve current tool slugs and input schemas.
- Step 3: Run RUBE_MANAGE_CONNECTIONS for the 'yelp' toolkit, then execute a tool with RUBE_MULTI_EXECUTE_TOOL using the discovered slug and memory {}.
Best Practices
- Always call RUBE_SEARCH_TOOLS first to fetch current schemas.
- Do not hardcode tool slugs or input fields; use the discovered schemas.
- Include memory in every RUBE_MULTI_EXECUTE_TOOL request, even if empty ({})
- Verify RUBE_MANAGE_CONNECTIONS shows ACTIVE before executing tools.
- Reuse session IDs within a workflow and handle pagination tokens if present.
Example Use Cases
- Auto-discover Yelp tools and run a workflow to update business information using the discovered tool slug.
- Bulk respond to a set of reviews by executing a multi-tool workflow with a memory store for context.
- Validate tool schemas after a schema update and re-run a previously saved workflow using the new slugs.
- Connect the Yelp toolkit and perform a sequence of operations (discover, check, execute) in a single session.
- Batch fetch tool schemas for a new Yelp workflow and then execute the appropriate tool slug derived from search results.