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.

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.

A sophisticated hybrid memory system designed specifically for AI agents. It provides a persistent, searchable knowledge bank to store, retrieve, and manage long-term knowledge, including architectural designs, operational patterns, and critical decision points. By syncing with project documentation, it ensures that crucial institutional knowledge remains accessible throughout the development lifecycle, enhancing agent reliability and consistency.

Helps teams ship reliable AI-powered products by detailing LLM integration patterns, RAG architecture, scalable prompt engineering, UX resilience, and cost-aware design.

Learn best practices for building production-ready Apache Airflow Directed Acyclic Graphs (DAGs). This skill covers comprehensive patterns for designing DAG structures, implementing custom operators/sensors, ensuring idempotency, and setting up robust testing and deployment strategies for data pipeline orchestration and workflow management.

Guides enterprise teams through Angular 17+ implementations by designing standalone components with signals, wiring NgRx stores and RxJS patterns, tuning lazy-loaded routes, verifying production builds, and enforcing comprehensive tests for resilient apps.

Modern Angular UI patterns that coordinate loading spinners, skeletons, error states, empty states, and progressive data display; designed for component builders managing async data, optimistic updates, and graceful degradation.

Guidance on designing consistent, developer-friendly REST APIs, covering resource naming, HTTP methods, status codes, pagination, filtering, error envelopes, and versioning for public or partner-focused services.

Guidance on designing consistent, developer-friendly REST APIs, covering resource naming, HTTP methods, status codes, pagination, filtering, error envelopes, and versioning for public or partner-focused services.

Guides REST API teams on naming resources, versioning, pagination, OpenAPI specs, error handling, headers, and rate limiting to keep services consistent, scalable, and client-friendly.

A comprehensive guide covering crucial API architectural decisions and best practices. Learn when to choose between REST, GraphQL, and tRPC, define robust response formats, implement versioning strategies, and secure endpoints using OAuth or JWT. This skill helps developers build scalable, maintainable, and secure backend services.

Implement secure API design patterns including authentication, authorization, input validation, rate limiting, and protection against common API vulnerabilities