algorithms
Use when researching algorithms, data structures, optimization, performance, or need modern alternatives to classic algorithms
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Skills indexés
7Étoiles des dépôts des skills indexés
42Forks du dépôt
0Moyenne des étoiles par skill indexé
6Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Use when researching algorithms, data structures, optimization, performance, or need modern alternatives to classic algorithms
Use when analyzing cognitive load, code complexity, onboarding difficulty, readability concerns, maintainability issues, or applying Ousterhout principles for deep modules, reducing complexity, and strategic pr...
Use when analyzing performance issues, creating benchmarks, or optimizing Elixir/Phoenix code
Use when working with distributed systems, clustering, consensus algorithms, network partitions, CAP tradeoffs, or distributed Erlang/Elixir patterns
Use when implementing or refactoring Elixir code, designing system architecture, working with functional programming patterns, OTP design patterns (GenServer, supervision trees), or needing idiomatic Elixir cod...
Use when working with Phoenix LiveView - streams, forms, authentication, hooks, real-time features, or encountering LiveView-specific issues
Use when preparing for production deployment, conducting code reviews, setting up precommit workflows, adding type specifications, implementing testing strategies, addressing security concerns, or ensuring docu...
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.