Skill UI

Automate Discord workflows through Rube MCP’s Composio toolkits, covering messages, DMs, roles, webhooks, and reactions while respecting permissions and rate limits for reliable bot/user operations.

Automates Neutrino tasks through Rube MCP (Composio) by enforcing tool discovery, connection checks, and schema-compliant execution, streamlining reactions within Neutrino toolkit workflows.

Automates Slack messaging, search, channel management, reactions, and threads via Rube MCP (Composio), enabling scripted posts, queries, and workspace ops once RUBE_SEARCH_TOOLS and Slack connections are active.

RDKit delivers a Python-based cheminformatics toolkit for parsing SMILES/SDF, computing descriptors, generating 2D/3D coordinates, fingerprinting, searching substructures, managing reactions, and visualizing molecules, ideal for drug discovery and computational chemistry workflows.

This tool provides command-line capabilities for subscribing to and consuming real-time events from the Lark/Feishu platform. It streams various events (e.g., IM messages, reactions, member changes) as NDJSON, making it ideal for developing Lark bots, implementing real-time message processing pipelines, or powering long-running AI agents. Users can list available event keys, inspect schemas, and consume data with advanced filtering, timeout, and max-event controls.

A comprehensive toolkit for automating various Discord operations, including sending messages (DMs and channels), managing user roles, creating and executing webhooks, and controlling message reactions. It utilizes Rube MCP and dedicated `discord` and `discordbot` toolkits, providing deep programmatic control over Discord interactions and administrative tasks.

A comprehensive toolkit to automate core Slack workspace operations. Users can manage messaging (sending, updating, replying), perform advanced message searches, list and manage channels and users, and handle reactions and threaded conversations. Ideal for integrating Slack into automated business workflows.

RDKit delivers a Python-based cheminformatics toolkit for parsing SMILES/SDF, computing descriptors, generating 2D/3D coordinates, fingerprinting, searching substructures, managing reactions, and visualizing molecules, ideal for drug discovery and computational chemistry workflows.