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Found 2,261 Skills
Use when optimizing React Native Web performance. Provides patterns for code splitting, bundle optimization, memoization, and web-specific performance improvements.
Diagnose ClickHouse merge performance, part backlog, and 'too many parts' errors. Use for merge issues and part management problems.
Expert in Rust development with focus on safety, performance, and async programming
Expert guidance for SvelteKit development with TypeScript, Tailwind CSS, SSR/SSG, and performance optimization best practices
Advanced sub-skill for PyTorch focused on deep research and production engineering. Covers custom Autograd functions, module hooks, advanced initialization, Distributed Data Parallel (DDP), and performance profiling.
Principal backend engineering intelligence for C++ systems and performance-critical services. Actions: plan, design, build, implement, review, fix, optimize, refactor, debug, secure, scale backend code and architectures. Focus: correctness, memory safety, latency, reliability, observability, scalability, operability.
Performance testing specialist for load testing, stress testing, and performance optimization across applications and infrastructure
nginx C module performance optimization and reliability guidelines based on the official nginx development guide. This skill should be used when optimizing nginx C modules for throughput, latency, memory efficiency, and operational resilience. Triggers on tasks involving buffer optimization, connection tuning, shared memory contention, error recovery, timeout strategy, caching implementation, worker process tuning, or logging performance in nginx C modules.
Frontend architecture expert. Use when planning component architecture, state management strategies, performance optimization, or technology selection decisions.
Diagnose and fix React Native & Expo codebase health issues. Use when reviewing React Native code, fixing performance problems, auditing accessibility, or improving architecture.
Reviews code for quality — architecture conformance, anti-patterns, performance issues, maintainability. Read-only analysis that detects circular dependencies, N+1 queries, dead code, naming violations, and layering breaches. Use when the user asks for a code review, wants feedback on code quality, PR review, tech debt analysis, or architecture conformance checks.
Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues. Entry-point for all performance work. Use when the app feels slow, user asks to optimize, fix re-renders, reduce jank, or improve startup. Delegates to argent-react-native-profiler for measurement.