google-classroom-automation
Automate Google Classroom tasks via Rube MCP (Composio): course management, assignments, student rosters, and announcements. Always search tools first for current schemas.
Best use case
google-classroom-automation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Automate Google Classroom tasks via Rube MCP (Composio): course management, assignments, student rosters, and announcements. Always search tools first for current schemas.
Teams using google-classroom-automation should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/google_classroom-automation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How google-classroom-automation Compares
| Feature / Agent | google-classroom-automation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Automate Google Classroom tasks via Rube MCP (Composio): course management, assignments, student rosters, and announcements. Always search tools first for current schemas.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Google Classroom Automation via Rube MCP
Automate Google Classroom operations through Composio's Google Classroom toolkit via Rube MCP.
**Toolkit docs**: [composio.dev/toolkits/google_classroom](https://composio.dev/toolkits/google_classroom)
## Prerequisites
- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
- Active Google Classroom connection via `RUBE_MANAGE_CONNECTIONS` with toolkit `google_classroom`
- 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 `google_classroom`
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": "course management, assignments, student rosters, and announcements", "known_fields": ""}]
```
This returns:
- Available tool slugs for Google Classroom
- Recommended execution plan steps
- Known pitfalls and edge cases
- Input schemas for each tool
## Core Workflows
### 1. Discover Available Google Classroom Tools
```
RUBE_SEARCH_TOOLS:
queries:
- use_case: "list all available Google Classroom tools and capabilities"
```
Review the returned tools, their descriptions, and input schemas before proceeding.
### 2. Execute Google Classroom Operations
After discovering tools, execute them via:
```
RUBE_MULTI_EXECUTE_TOOL:
tools:
- tool_slug: "<discovered_tool_slug>"
arguments: {<schema-compliant arguments>}
memory: {}
sync_response_to_workbench: false
```
### 3. Multi-Step Workflows
For complex workflows involving multiple Google Classroom operations:
1. Search for all relevant tools: `RUBE_SEARCH_TOOLS` with specific use case
2. Execute prerequisite steps first (e.g., fetch before update)
3. Pass data between steps using tool responses
4. Use `RUBE_REMOTE_WORKBENCH` for bulk operations or data processing
## Common Patterns
### Search Before Action
Always search for existing resources before creating new ones to avoid duplicates.
### Pagination
Many list operations support pagination. Check responses for `next_cursor` or `page_token` and continue fetching until exhausted.
### Error Handling
- Check tool responses for errors before proceeding
- If a tool fails, verify the connection is still ACTIVE
- Re-authenticate via `RUBE_MANAGE_CONNECTIONS` if connection expired
### Batch Operations
For bulk operations, use `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` in a loop with `ThreadPoolExecutor` for parallel execution.
## Known Pitfalls
- **Always search tools first**: Tool schemas and available operations may change. Never hardcode tool slugs without first discovering them via `RUBE_SEARCH_TOOLS`.
- **Check connection status**: Ensure the Google Classroom connection is ACTIVE before executing any tools. Expired OAuth tokens require re-authentication.
- **Respect rate limits**: If you receive rate limit errors, reduce request frequency and implement backoff.
- **Validate schemas**: Always pass strictly schema-compliant arguments. Use `RUBE_GET_TOOL_SCHEMAS` to load full input schemas when `schemaRef` is returned instead of `input_schema`.
## Quick Reference
| Operation | Approach |
|-----------|----------|
| Find tools | `RUBE_SEARCH_TOOLS` with Google Classroom-specific use case |
| Connect | `RUBE_MANAGE_CONNECTIONS` with toolkit `google_classroom` |
| 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` |
> **Toolkit docs**: [composio.dev/toolkits/google_classroom](https://composio.dev/toolkits/google_classroom)Related Skills
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