What is required before using slackbot-automation?

Rube MCP must be connected and responding to RUBE_SEARCH_TOOLS, and Slackbot must have an ACTIVE connection via RUBE_MANAGE_CONNECTIONS. Always search tools first to obtain current schemas.

How do I discover tools for Slackbot tasks?

Use RUBE_SEARCH_TOOLS with a use_case like 'Slackbot operations' or your specific task, then review the returned tool slugs and input schemas before proceeding.

How do I execute a tool and manage memory and sessions?

Use RUBE_MULTI_EXECUTE_TOOL with the discovered tool_slug, pass the required arguments from the tool schema, include a memory object (even if empty), and provide a session_id (reuse within a workflow or create a new one for a new workflow).

slackbot-automation

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Slackbot Automation via Rube MCP

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

Toolkit docs: composio.dev/toolkits/slackbot

Prerequisites

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

Step 2: Check Connection

RUBE_MANAGE_CONNECTIONS
toolkits: ["slackbot"]
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 Slackbot-specific use case
Connect	`RUBE_MANAGE_CONNECTIONS` with toolkit `slackbot`
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/slackbot-automation/SKILL.mdView on GitHub

Overview

Slackbot Automation via Rube MCP lets you orchestrate Slackbot operations through Composio's toolkit by discovering current tool schemas, verifying an active Slackbot connection, and executing tools without hardcoding slugs. This makes Slackbot workflows resilient to schema updates and simplifies complex automation sequences.

How This Skill Works

Technically, you first call RUBE_SEARCH_TOOLS to fetch available Slackbot tools and their input schemas. Then you verify the Slackbot connection with RUBE_MANAGE_CONNECTIONS and ensure the status is ACTIVE. Finally, you run a tool using RUBE_MULTI_EXECUTE_TOOL, passing the discovered slug, a memory payload, and the session_id, allowing multi-step workflows and pagination as needed.

When to Use It

When you need to automate Slackbot operations by discovering tools at runtime.
When setting up a new Slackbot workflow that requires establishing an active connection before execution.
When you must always fetch current tool schemas to avoid hardcoding slugs.
When orchestrating a multi-step Slackbot task that involves discovering, connecting, and executing tools in sequence.
When tools return paginated results and you need to fetch additional pages to complete the task.

Quick Start

Step 1: Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds and returns tool schemas.
Step 2: Call RUBE_MANAGE_CONNECTIONS with toolkit slackbot and ensure the status is ACTIVE.
Step 3: Discover a Slackbot tool with RUBE_SEARCH_TOOLS for your task, then execute it using RUBE_MULTI_EXECUTE_TOOL with memory and a session_id.

Best Practices

Always call RUBE_SEARCH_TOOLS before executing any tool to get current slugs and schemas.
Check RUBE_MANAGE_CONNECTIONS status and ensure ACTIVE prior to execution.
Use exact field names and types from the search results to avoid schema mismatch.
Include memory in RUBE_MULTI_EXECUTE_TOOL calls, even if empty.
Reuse session IDs within a workflow; generate new sessions for new workflows and handle pagination tokens.

Example Use Cases

Discover Slackbot tools with RUBE_SEARCH_TOOLS for Slackbot operations and post a message using a discovered tool slug.
Connect Slackbot with RUBE_MANAGE_CONNECTIONS and then fetch available channels using the corresponding tool.
Build a small workflow to send scheduled messages by using a discovered tool and referencing a session_id.
Iterate over multiple channels by repeatedly executing a tool slug discovered earlier, handling memory between calls.
Run a sequence of Slackbot actions in a single session, reusing the session_id and ensuring the tool schemas are current before each step.

Frequently Asked Questions

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