Classmarker Automation
The Classmarker Automation skill enables users to automate Classmarker operations through Composio's Classmarker toolkit via Rube MCP. It's useful for.
Install
npx promptshop add classmarker-automationDetails
What This Skill Does
The Classmarker Automation skill enables users to automate Classmarker operations through Composio's Classmarker toolkit via Rube MCP. It's useful for automating tasks related to online testing and assessment. The skill requires an active Classmarker connection and Rube MCP setup.
When to Use
- Discover available Classmarker tools.
- Check the status of the Classmarker connection.
- Execute specific Classmarker tools.
- Automate quiz creation and management.
- Integrate Classmarker with learning platforms.
- Dynamically adapt to changing tool schemas.
Key Features
- Automates Classmarker operations via Rube MCP.
- Uses RUBE_SEARCH_TOOLS to discover available tools.
- Manages connections with RUBE_MANAGE_CONNECTIONS.
- Executes tools with RUBE_MULTI_EXECUTE_TOOL.
- Requires active Classmarker connection.
- Provides a structured workflow pattern.
Manual Installation
Prerequisites
Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Classmarker connection via RUBE_MANAGE_CONNECTIONS with toolkit classmarker 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.
Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds Call RUBE_MANAGE_CONNECTIONS with toolkit classmarker 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: "Classmarker 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 Classmarker task"}] session: {id: "existing_session_id"}
Step 2: Check Connection
RUBE_MANAGE_CONNECTIONS toolkits: ["classmarker"] 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 Classmarker-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit classmarker |
| 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 |
Automate Classmarker operations through Composio's Classmarker toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/classmarker
Prerequisites
Rube MCP must be connected (RUBE_SEARCH_TOOLS available) Active Classmarker connection via RUBE_MANAGE_CONNECTIONS with toolkit classmarker 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.
Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds Call RUBE_MANAGE_CONNECTIONS with toolkit classmarker 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: "Classmarker 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 Classmarker task"}] session: {id: "existing_session_id"}
Step 2: Check Connection
RUBE_MANAGE_CONNECTIONS toolkits: ["classmarker"] 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 Classmarker-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit classmarker |
| 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 |