ruby-metaprogramming
Use when working with Ruby metaprogramming features including dynamic method definition, method_missing, class_eval, define_method, and reflection.
Découvrez les skills research debugging, comparez leurs dépôts et consultez leurs instructions.
Use when working with Ruby metaprogramming features including dynamic method definition, method_missing, class_eval, define_method, and reflection.
Use when Elixir pattern matching including function clauses, case statements, with statements, and destructuring. Use for elegant control flow.
Use when optimizing code for performance, reducing bundle size, improving load times, or fixing performance bottlenecks. Emphasizes measurement-driven optimization.
Use when investigating bugs, diagnosing issues, or understanding unexpected behavior. Provides systematic approaches to finding root causes.
Use when analyzing and fixing Dialyzer warnings and type discrepancies in Erlang/Elixir code.
Use when optimizing React Native app performance. Covers FlatList optimization, memoization, image optimization, bundle size reduction, and profiling techniques.
Use when optimizing GraphQL API performance with query complexity analysis, batching, caching strategies, depth limiting, monitoring, and database optimization.
Use when managing memory in C programs with malloc/free, pointers, and avoiding common memory safety pitfalls.
Automatically discover formal methods and verification skills when working with formal methods. Activates for formal development tasks.
Automatically discover programming language theory skills when working with compilers. Activates for plt development tasks.
Automatically discover Zig programming skills when working with Zig. Activates for zig development tasks.
Automatically discover observability and monitoring skills when working with monitoring. Activates for observability development tasks.
Automatically discover testing skills when working with testing. Activates for testing development tasks.
Automatically discover intermediate representation and compiler skills when working with intermediate representation. Activates for ir development tasks.
Automatically discover caching and performance skills when working with caching. Activates for caching development tasks.
Automatically discover protocol skills when working with HTTP, TCP, UDP, QUIC, and network protocols
Automatically discover debugging and profiling skills when working with debugging. Activates for debugging development tasks.
Automatically discover eBPF and kernel skills when working with eBPF. Activates for ebpf development tasks.
Automatically discover WebAssembly skills when working with WebAssembly. Activates for wasm development tasks.
Automatically discover frontend development skills when working with React, Next.js, UI components, state management, data fetching, forms, accessibility, performance optimization, or SEO. Activates for fronten...
Analyze Django Silk profiling data to debug slow requests, detect N+1 queries, and optimize database performance. Use when analyzing request IDs, investigating slow endpoints, or optimizing query performance.
浏览器调试测试,仅用户要求时使用
浏览器调试测试,仅用户要求时使用
问题诊断和调试技能
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.