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Found 2,259 Skills
ASP.NET Core Web API implementation: clean controllers with CQRS, global error handling, model validation, Swagger/OpenAPI, API versioning, security (CORS, auth), middleware pipeline, and performance patterns. Use when creating or editing controllers, filters, middleware, Program.cs, or API endpoints.
Cross-platform and native mobile development. Frameworks: React Native, Flutter, Swift/SwiftUI, Kotlin/Jetpack Compose. Capabilities: mobile UI, offline-first architecture, push notifications, deep linking, biometrics, app store deployment. Actions: build, create, implement, optimize, test, deploy mobile apps. Keywords: iOS, Android, React Native, Flutter, Swift, Kotlin, mobile app, offline sync, push notification, deep link, biometric auth, App Store, Play Store, iOS HIG, Material Design, battery optimization, memory management, mobile performance. Use when: building mobile apps, implementing mobile-first UX, choosing native vs cross-platform, optimizing battery/memory/network, deploying to app stores, handling mobile-specific features.
Guide for implementing Turborepo - a high-performance build system for JavaScript and TypeScript monorepos. Use when setting up monorepos, optimizing build performance, implementing task pipelines, configuring caching strategies, or orchestrating tasks across multiple packages.
Process large datasets efficiently using chunk(), chunkById(), lazy(), and cursor() to reduce memory consumption and improve performance
React performance optimization and best practices. Use when writing React components, hooks, or JSX; refactoring React code; optimizing re-renders, memoization, or state management; reviewing React code for performance issues; fixing hydration mismatches; or implementing transitions, lazy initialization, or effect dependencies. Covers React 19+ features including useEffectEvent, Activity component, and ref props.
Deep Python code review of changed files using git diff analysis. Focuses on production quality, security vulnerabilities, performance bottlenecks, architectural issues, and subtle bugs in code changes. Analyzes correctness, efficiency, scalability, and production readiness of modifications. Use for pull request reviews, commit reviews, security audits of changes, and pre-deployment validation. Supports Django, Flask, FastAPI, pandas, and ML frameworks.
Correlates performance targets with actual profiling results. Identifies bottlenecks and validates against non-functional requirements.
Conversion funnel analysis with drop-off investigation. Use when analyzing multi-step processes, identifying conversion bottlenecks, A/B testing funnel performance, or optimizing user journeys.
Patterns for physics-based simulation including numerical integration, rigid body dynamics, fluid simulation, finite element methods, and multi-physics coupling. Covers accuracy, stability, and performance. Use when ", " mentioned.
Database indexing strategies and query optimization. Use when user asks to "optimize queries", "create indexes", "database performance", "query analysis", "explain plans", "index selection", "slow queries", "database tuning", "schema optimization", or mentions database performance and query optimization.
Use when designing databases for data-heavy applications, making schema decisions for performance, choosing between normalization and denormalization, selecting storage/indexing strategies, planning for scale, or evaluating OLTP vs OLAP trade-offs. Also use when encountering N+1 queries, ORM issues, or concurrency problems.
Use when implementing CQRS pattern, separating read and write models, optimizing query performance, or asking about "CQRS", "Command Query Responsibility Segregation", "read model", "write model", "command bus", "query bus"