Skill UI

A comprehensive workflow for executing advanced, semantic web searches using Exa. This tool moves beyond simple keyword matching, enabling deep context retrieval by understanding the intent behind the query. Key features include RAG context retrieval, content extraction (summaries, highlights, full text), and robust filtering by date range, specific domains, and content categories. Ideal for building knowledge base search features and complex research pipelines.

This skill manages and refines search results obtained from Exa's neural search API. It provides comprehensive control over content extraction scope, allowing users to selectively retrieve metadata, highlights, full text, or structured summaries. Key features include implementing result caching with TTL, deduplicating citations, and crucial token budget management, ensuring the retrieved context fits within LLM context window limits for robust RAG pipelines.

A comprehensive guide for migrating search pipelines from traditional keyword-based APIs (Google, Bing, Tavily) to Exa's advanced neural search capabilities. This guide covers building an adapter layer, implementing feature-flag traffic shifting, translating legacy query syntax, and leveraging Exa's unique features like semantic and similarity search for superior results.

This skill provides robust, production-grade patterns for building fault-tolerant search service integrations, specifically targeting Exa. It covers implementing query fallback chains, circuit breakers to prevent cascading failures, exponential backoff for retries, and graceful degradation levels. Use this when designing mission-critical search features that must remain available and functional even if underlying services fail, rate limit, or suffer performance degradation.

This template provides production-ready FastAPI project skeletons, incorporating advanced features such as async patterns, dependency injection, middleware, and robust error handling. It is essential for developers starting new high-performance REST APIs, microservices, or complex backend systems in Python, ensuring adherence to best architectural practices.

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.

This skill guides the end-to-end development, deployment, and secure integration of complex AI features into Firebase applications. It covers setting up Cloud Functions, Firestore/Storage rules, Authentication, and connecting robustly with Vertex AI/Gemini for advanced AI capabilities. Focuses on building production-grade, highly secure, data-intensive AI systems.

This guide details integrating FoundationModels for running Large Language Models (LLMs) directly on the device (iOS 26). It covers advanced patterns including text generation, extracting structured data using @Generable, implementing custom tool calling for domain logic, and streaming responses for real-time UI updates. Key features emphasize strong privacy and offline capability, ensuring no data leaves the device.

Mastery of modern frontend development using React 19+ and Next.js 15. This skill covers building scalable, high-performance user interfaces, managing complex client-server state, implementing advanced features like Server Components (RSC), and ensuring WCAG accessibility compliance. Ideal for architecting full-stack web applications and optimizing Core Web Vitals.

A modern, dark-themed UI component library built with React, Tailwind CSS, and Framer Motion. It provides a comprehensive set of components and styles ideal for developing professional dashboards, admin panels, and data-rich applications. Features include advanced glassmorphism effects and tasteful, smooth animations to enhance user experience.

This skill guides the development of robust, security-focused full-stack web applications. It ensures layered security coverage across the entire application stack, from database queries (parameterized queries) to API endpoints (authentication/authorization) and frontend components (input validation, output encoding). Use this when building end-to-end features, microservices, or REST APIs that require simultaneous attention to Frontend, Backend, and Security best practices.

This skill guides the full lifecycle of game development, from architecture design (ECS, component systems) to high-performance implementation. It covers integrating Unity/Unreal Engine features, implementing complex physics, multiplayer networking with lag compensation, and achieving consistent 60+ FPS performance. Key techniques include object pooling, state machines, and rigorous profiling to ensure production-ready, scalable game systems.