Skill UI

A comprehensive tool for designing, generating schemas, and evaluating complex multi-agent systems. It guides users through defining system requirements, selecting optimal orchestration patterns (Supervisor, Swarm, Pipeline), generating provider-ready tool schemas (Anthropic/OpenAI), and analyzing execution logs for performance bottlenecks, cost, and latency. This ensures robust, production-grade autonomous workflows.

A comprehensive toolkit for Product Owners practicing Agile methodologies. This guide covers generating INVEST-compliant user stories, defining testable Acceptance Criteria using Given-When-Then format, planning sprints, prioritizing the backlog using weighted scoring, and systematically breaking down large epics. Use it when defining requirements, managing the product roadmap, or preparing for sprint ceremonies.

Generate production-ready load balancer configurations for ALB, NLB, Nginx, or HAProxy based on requirements, and provide ready-to-deploy files for DevOps automation.

A comprehensive guide for treating project context as a managed, first-class artifact alongside code. It establishes systematic documentation (e.g., product vision, tech stack, workflow) to ensure consistent requirements, maintain team alignment, and optimize AI interactions throughout the entire development lifecycle. Essential for greenfield and brownfield projects.

Transforms detailed user requirements into secure, production-ready Ansible playbooks that automate server configuration, software deployments, and infrastructure workflows across multiple platforms for repeatable DevOps operations.

Automates common CTE query builder tasks for data analytics, offering best-practice guidance, production-ready SQL snippets, and validation against standard requirements when you need help with BI, visualization, or statistical analysis.

Deploying Machine Learning Models automates serving trained models to production by analyzing requirements, generating API and infrastructure code, and orchestrating deployment workflows with validation, error handling, and monitoring baked in.

This skill guides users through structured workshops to define comprehensive product features from scratch. It adopts dual perspectives (Product Manager and Developer) to gather detailed requirements, user stories, and non-functional needs. The output includes EARS-formatted functional requirements, testable acceptance criteria (Given/When/Then), and detailed implementation checklists, ensuring the feature is complete and ready for development.

Generates production-ready stored procedures, functions, and triggers for PostgreSQL, MySQL, or SQL Server by analyzing requirements, using the stored-procedure-generator plugin, and returning optimized SQL code for complex logic, integrity, and transaction safety.

This skill automatically gathers and structures comprehensive context for Apple product development. It analyzes existing project files (like README, Info.plist, and code) and prompts the user for details across product overview, target platforms, technology stack, design system, and accessibility requirements. The output is a structured context document used by other specialized skills to ensure consistent, informed design and development decisions.

This guide provides production-grade architectural patterns for integrating with the Linear API. It helps developers choose the optimal strategy—be it Simple SDK calls, Service-Oriented Gateways with caching, or Event-Driven Webhooks—based on system complexity, scale, and real-time requirements. Includes patterns like CQRS and rate limiting best practices.

Converts product or technical specs into detailed Notion implementation plans, tasks, and progress logs so Claude code can execute requirements tracking from inception to completion.