googlesuper-automation
Scannednpx machina-cli add skill ComposioHQ/awesome-claude-skills/googlesuper-automation --openclawGoogle Super Automation via Rube MCP
Automate Google Super operations through Composio's Google Super toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/googlesuper
Prerequisites
- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
- Active Google Super connection via
RUBE_MANAGE_CONNECTIONSwith toolkitgooglesuper - 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 toolkitgooglesuper - 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: "Google Super 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 Google Super task"}]
session: {id: "existing_session_id"}
Step 2: Check Connection
RUBE_MANAGE_CONNECTIONS
toolkits: ["googlesuper"]
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 Google Super-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit googlesuper |
| 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/googlesuper-automation/SKILL.mdView on GitHub Overview
This skill automates Google Super operations through Composio's Rube MCP toolkit. It emphasizes discovering current tool schemas with RUBE_SEARCH_TOOLS and requires an active googlesuper connection via RUBE_MANAGE_CONNECTIONS before executing workflows.
How This Skill Works
You connect Rube MCP and always fetch tool schemas first. Then you manage the googlesuper connection to ensure ACTIVE status, and finally execute tools with RUBE_MULTI_EXECUTE_TOOL using the discovered tool slug and the required memory parameter.
When to Use It
- On-boarding a new Google Super workflow where tool schemas may change and require fresh discovery
- Integrating Google Super tasks into an automated pipeline with session continuity
- Validating tool slugs and arguments before running a Google Super operation
- Ensuring an ACTIVE Google Super connection before executing tools in a workflow
- Processing multiple Google Super operations in sequence, handling pagination and dynamic tool lists
Quick Start
- Step 1: Add https://rube.app/mcp as an MCP server in your client and verify RUBE_SEARCH_TOOLS responds
- Step 2: Call RUBE_MANAGE_CONNECTIONS with toolkit googlesuper and confirm ACTIVE
- Step 3: Use RUBE_SEARCH_TOOLS to discover a tool slug, then run RUBE_MULTI_EXECUTE_TOOL with that slug and memory, including your session_id
Best Practices
- Always search first to fetch current tool schemas
- Check RUBE_MANAGE_CONNECTIONS shows ACTIVE before execution
- Use exact field names and types from the tool schemas; avoid hardcoding
- Always include memory in RUBE_MULTI_EXECUTE_TOOL calls (even if empty)
- Reuse session IDs within a workflow and refresh only for new workflows
Example Use Cases
- Auto-run a Google Super operation by discovering the tool slug via RUBE_SEARCH_TOOLS and executing it with RUBE_MULTI_EXECUTE_TOOL
- Set up a daily Google Super workflow that first ensures the googlesuper connection is ACTIVE, then runs a sequence of discovered tools in a single session
- Validate a new Google Super task by inspecting its schema after a RUBE_SEARCH_TOOLS lookup and verifying inputs before execution
- Handle a paginated response from RUBE_SEARCH_TOOLS to collect all available Google Super tools for a complex workflow
- Resume a long-running Google Super operation by reusing a session_id and rechecking ACTIVE status before continuation