algorithms
Use when researching algorithms, data structures, optimization, performance, or need modern alternatives to classic algorithms
Browse published AI skills maintained by jeffweiss. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
7Repository stars across indexed skills
42Repository forks
0Average repository stars per indexed skill
6Repository stars may repeat across skills from the same repository.
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...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.