Skill UI

Covers core principles of 2D game systems, from sprite management and tilemap layering to physics, cameras, and genre patterns, helping developers design clear, responsive 2D gameplay.

Guides teams through planning, designing, and running statistically sound A/B tests with hypothesis framing, sample sizing, metric selection, implementation strategies, and analysis checkpoints for systematic growth experimentation.

A comprehensive toolkit for designing, architecting, and evaluating complex multi-agent systems. It provides structured patterns—including Supervisor, Swarm, and Pipeline—for system architecture, defines agent roles (Coordinator, Specialist), and covers best practices for communication (Event Sourcing, Message Passing), tool design, and safety guardrails, ensuring robust and scalable AI workflows.

Guides designers in creating Claude Code agents by defining frontmatter, triggering conditions, system prompt structure, color/tool choices, and quality best practices for autonomous workflows.

This skill guides the design and implementation of robust memory architectures for advanced AI agents. It moves beyond simple data storage, focusing on the critical art of memory retrieval. Learn strategies for chunking, selecting appropriate vector stores, and integrating various memory types (episodic, semantic, working) to ensure agents maintain long-term consistency and intelligence across millions of interactions. Ideal for building sophisticated, stateful autonomous agents.

Designs and implements robust, autonomous AI agent systems that maintain strict control and graceful degradation. This skill covers multi-agent orchestration, advanced planning (like ReAct and Plan-and-Execute), tool management, and robust error handling. It ensures that complex AI workflows can proceed independently while providing clear oversight and failure modes.

Designs and implements robust, autonomous AI agent systems that maintain strict control and graceful degradation. This skill covers multi-agent orchestration, advanced planning (like ReAct and Plan-and-Execute), tool management, and robust error handling. It ensures that complex AI workflows can proceed independently while providing clear oversight and failure modes.

Provides an architectural decision-making framework for analyzing requirements, weighing trade-offs, and documenting ADRs when designing or evolving systems.

Provides experienced architecture guidance for designing scalable distributed systems, documenting decisions with ADRs, evaluating technology trade-offs, and planning infrastructure, diagrams, and reviews for new or existing systems.

This skill provides comprehensive guidance on mastering proven backend architectural patterns, including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design (DDD). It helps users design, refactor, and scale complex systems by defining clear module boundaries, managing dependencies, and ensuring testability. Use it when migrating monolithic applications, initiating microservices decomposition, or establishing robust architectural standards.

This skill provides comprehensive guidance on mastering proven backend architectural patterns, including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design (DDD). It helps users design, refactor, and scale complex systems by defining clear module boundaries, managing dependencies, and ensuring testability. Use it when migrating monolithic applications, initiating microservices decomposition, or establishing robust architectural standards.

Provides industry-standard patterns and modern best practices for building secure, scalable authentication and authorization systems. This guide helps developers implement complex identity management features, such as OAuth2, OpenID Connect (OIDC), JWT validation, session management, and Role-Based Access Control (RBAC), ensuring APIs and services adhere to the highest security standards.