Skill UI

Automates guidance on train/test split workflows inside ML training, surfacing best-practice patterns, code snippets, and validation tips for PyTorch, TensorFlow, and sklearn projects.

Provides production-ready Megatron-Core workflows for training 2B–462B parameter LLMs with tensor/pipeline/expert/context parallelism, maximizing GPU efficiency on H100 clusters.

Automates Trello boards, cards, lists, assignments, searches, comments, and attachments through Composio’s Rube MCP, so teams can script workflows like card creation, movement, member assignment, and data retrieval without manual clicks.

Enables Trigger.dev-based background jobs, AI workflows, and scheduled or batch async execution with a TypeScript-first SDK, durable retries, and built-in integrations while matching production behavior through the local CLI.

Orchestrates TripAdvisor API tasks via Rube MCP, guiding tool discovery, connection checks, execution sequences, and memory-aware workflows so schema-driven automation stays consistent.

Automates Turbot Pipes tasks by routing commands through Composio's Rube MCP toolkit, guiding you to discover current tool schemas, verify Turbot connections, and execute multi-step workflows safely.

Automates Turso operations through Composio's Rube MCP by guiding users to discover current tool schemas, manage Turso connections, and execute multi-tool workflows safely.

Automates Twelve Data tasks by guiding the Rube MCP workflow from schema discovery through connection checks to multi-tool execution, ensuring compliant inputs before invoking each Composio toolkit operation.

Provides Twilio-based communication patterns covering SMS, voice, WhatsApp, and Verify flows; includes error handling, compliance reminders, rate limits, segmentation warnings, and OTP 2FA guidance for notifications, confirmations, and security workflows.

This skill provides a comprehensive workflow for integrating TwinMind meeting transcription services into continuous integration/continuous deployment (CI/CD) pipelines. It automates the processes of meeting documentation, real-time transcription (using Ear-3), and structured action item extraction using advanced AI models like GPT-4 and Claude. Use this when setting up automated meeting intelligence operations or managing enterprise-level transcription workflows via API.

This comprehensive workflow automates the entire meeting documentation process. It handles live or recorded audio input, performing accurate transcription with speaker diarization. Subsequently, it leverages advanced AI models to generate detailed summaries, extract key action items, draft follow-up emails, and create structured meeting minutes, significantly enhancing organizational knowledge retention and operational efficiency.

This secondary workflow automates post-meeting follow-up processes. It intelligently extracts action items, inferring priority and assignees, and synchronizes these tasks to external project management tools (e.g., Asana, Jira, Linear). It also generates and sends follow-up emails, creating a complete, automated task lifecycle management system.