Skill UI

Optimizes Exa API calls with latency-aware search selection, caching, batching, and selective content retrieval so integrations hit throughput targets even under heavy load.

Guides building high-performance async FastAPI APIs with SQLAlchemy 2.0, Pydantic V2, microservices, WebSockets, and production best practices for observability, security, and deployment.

Provides a comprehensive, production-ready boilerplate for building high-performance FastAPI applications. This template incorporates best practices for async patterns, dependency injection, middleware, and robust error handling. It is ideal for starting new microservices, complex REST APIs, or robust backend systems using Python.

This comprehensive skill covers the full scope of Firebase services, including Authentication, Firestore, Cloud Functions, and Hosting. It goes beyond basic implementation, focusing on critical architectural principles: adopting a query-first, denormalized NoSQL mindset. Key insights include mandatory security rule design, optimal data modeling for performance, and correctly utilizing modular SDKs to build scalable and secure backends.

Guides FireCrawl performance validation by showing how to run k6 load tests, configure Kubernetes HPAs with custom metrics, and document capacity insights for scaling decisions.

Guides optimizing FireCrawl API latency using caching, batching, connection pooling, and monitoring to improve throughput for integrations experiencing slow responses.

Guides API integrations for Fireflies.ai by tightening GraphQL queries, caching transcripts with TTL, batching meeting processing, and handling webhooks through asynchronous queues to sustain throughput and keep latency low.

Automates flame graph generation during performance testing, guiding users through best practices, sample code, and validation for load, stress, and benchmarking workflows.

Guides engineers building Flutter 3+ cross-platform apps through project setup, Riverpod/Bloc state management, GoRouter navigation, custom widgets, and performance tuning backed by const optimization, testing, and DevTools profiling.

Defines a senior frontend engineer workflow emphasizing Suspense-first data fetching, feature-based organization, strict TypeScript, and performance-safe defaults for building scalable React components, pages, and features while reviewing or refactoring code.

Deliver comprehensive React 19+ and Next.js 15+ solutions covering UI components, responsive layouts, state handling, performance tuning, accessibility, testing, and full-stack integration for modern web apps.

Guides React Server Components workflows, streaming SSR, code splitting, bundle/image/font optimizations, and Core Web Vitals monitoring to keep Next.js frontends fast and responsive.