Skill UI

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.

Covers designing agent tools from schema creation through validation and error handling, emphasizing descriptions that keep LLMs accurate and reusable via MCP standards.

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.

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 teams through assessing business goals, designing measurement plans, and implementing GA4/GTM tracking so marketing and product decisions rely on validated events, UTM strategies, and clean conversions.

Guides teams through assessing business goals, designing measurement plans, and implementing GA4/GTM tracking so marketing and product decisions rely on validated events, UTM strategies, and clean conversions.

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.

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.

Mastering the principles of REST and GraphQL is crucial for building modern, scalable, and developer-friendly APIs. This skill guides you through defining robust API contracts, covering topics like versioning, pagination, error handling, and authentication strategies. Use it when designing new microservices, refactoring legacy APIs, or setting architectural standards for your team.