Skill UI

Automates Sentry monitoring workflows through Composio’s Rube MCP by orchestrating issue investigation, project issue management, alert rule configuration, release tracking, and organizational monitoring.

Shortcut Automation lets you control Shortcut project management directly from Claude Code using natural-language commands to create or batch stories, list workflows and projects, add tasks or comments, and keep epics and workflows organized without leaving your terminal.

Auto-activating Enterprise Workflows skill that guides sprint planning with best practices, governance, and integration help while validating deliverables for project teams.

This skill simulates a complete, multi-agent software development lifecycle following the principles of Agile and Scrum. It guides the project through six distinct, iterative phases: Architectural Planning, Parallel Implementation, Comprehensive Testing (Unit/E2E), Review, and Finalization. The process uses a convergent diffusion model, refining specifications and resolving conflicts across multiple specialized agents until the project converges and is deemed complete.

Automates stakeholder communication template creation within enterprise workflows, guiding project teams through governance, compliance, and integration best practices.

Automates Supabase operations through the Rube MCP toolkit, letting you query tables, inspect schemas, execute SQL, manage projects/orgs, and monitor storage or edge functions with workflow-aware guidance.

Auto-activating guidance for enforcing test naming conventions across unit, integration, and mocking workflows in test automation projects, ensuring standards and generating ready-to-run code.

Automates Todoist task, project, section, filter, and bulk workflows via Composio’s Rube MCP, guiding tool discovery, connection setup, and ordered API calls for create/update/complete/delete operations.

Automate Toggl Track workflows from Claude Code: log entries, stop timers, create projects and clients, manage tags, and inspect workspaces with natural language commands for faster time tracking.

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.

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.

Configure a comprehensive local development environment for integrating the TwinMind API. This guide walks you through setting up a project structure, configuring environment variables, and building a reusable client class using TypeScript and Axios. It is ideal for developers building applications that require local testing of transcription, summary generation, or meeting automation workflows.