test-coverage
Analyze test coverage, identify gaps, and recommend test improvements. Use when relevant to the task.
Découvrez les skills data ai debugging, comparez leurs dépôts et consultez leurs instructions.
Analyze test coverage, identify gaps, and recommend test improvements. Use when relevant to the task.
Expert assistance for writing, optimizing, and debugging GROQ queries. Use when writing queries or debugging performance.
Check web interfaces against Vercel's design guidelines. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", "check my site against best practices", or "apply Vercel design gui...
Analyzes logs efficiently through targeted search and iterative refinement. Use when investigating errors, debugging incidents, or analyzing patterns in application logs.
Measure-first performance optimization that balances gains against complexity. Use when addressing slow code, profiling issues, or evaluating optimization trade-offs.
Four-phase debugging framework that finds root causes before proposing fixes. Use when investigating bugs, errors, unexpected behavior, failed tests, or when previous fixes haven't worked.
Preview and screenshot local dev servers and storybooks. Use when asked to view UI components, take screenshots of storybooks, or inspect the web/server apps.
Use when integrating Dialyzer into development workflows and CI/CD pipelines for Erlang/Elixir projects.
Use when working with Bun's runtime APIs including file I/O, HTTP servers, and native APIs. Covers modern JavaScript/TypeScript execution in Bun's fast runtime environment.
Use when optimizing React Native Web performance. Provides patterns for code splitting, bundle optimization, memoization, and web-specific performance improvements.
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.
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.