Skill UI

Automates architecture decision record (ADR) generation and guidance within technical documentation workflows, offering best-practice patterns, production-ready snippets, and validation for API docs, user guides, and automation needs.

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.

This comprehensive guide details the architecture of memory for intelligent agents. It covers the distinction between short-term context, long-term vector storage, and advanced cognitive models (CoALA framework: semantic, episodic, procedural). Learn how to implement robust memory retrieval mechanisms, select appropriate vector databases (Pinecone, Qdrant, etc.), and utilize embedding models to build truly context-aware, persistent AI applications.

This skill covers the comprehensive architecture design and construction of autonomous AI agents. Experts master advanced concepts including tool use, hierarchical memory systems (episodic, semantic, working), sophisticated planning strategies (ReAct, Plan-and-Execute), and multi-agent orchestration. It focuses on building systems that achieve high levels of autonomy while maintaining critical human oversight, designing for graceful degradation and rigorous error handling.

This skill covers the comprehensive architecture design and construction of autonomous AI agents. Experts master advanced concepts including tool use, hierarchical memory systems (episodic, semantic, working), sophisticated planning strategies (ReAct, Plan-and-Execute), and multi-agent orchestration. It focuses on building systems that achieve high levels of autonomy while maintaining critical human oversight, designing for graceful degradation and rigorous error handling.

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

Expert proficiency in modern Angular development (v20+). Mastery includes Signals for fine-grained reactivity, Standalone Components for modular architecture, and Zoneless applications for peak performance. Skilled in implementing SSR, Hydration, and adopting the latest reactive patterns to build highly performant, scalable enterprise frontend applications.

Expert proficiency in modern Angular development (v20+). Mastery includes Signals for fine-grained reactivity, Standalone Components for modular architecture, and Zoneless applications for peak performance. Skilled in implementing SSR, Hydration, and adopting the latest reactive patterns to build highly performant, scalable enterprise frontend applications.

A specialist in modern Angular development (v17+), focusing on standalone components, Signals, and enterprise-grade architecture. This skill covers designing complex application flows, implementing robust state management using NgRx, managing reactive patterns with RxJS, optimizing bundle performance, and ensuring high code quality through rigorous testing and adherence to best practices.

API Reference Creator automatically guides technical writers through producing consistent, production-ready API docs, user guides, and architecture notes, covering patterns, validations, and best practices within documentation automation workflows.

A comprehensive, production-grade reference architecture for integrating with Apollo.io. It details a layered design encompassing API services, business logic, background job processing (e.g., lead enrichment), and data modeling, enabling the building of robust sales intelligence and CRM synchronization systems.

A master-level architect specializing in reviewing and guiding complex, modern distributed systems. This skill excels at evaluating adherence to patterns like Clean Architecture, DDD, and Microservices. Use it when assessing scalability, resilience, security posture, and maintainability across major design changes, ensuring the resulting system is robust and future-proof.