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jeffweiss AI Skills

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Browse published AI skills maintained by jeffweiss. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

7

Repository stars across indexed skills

42

Repository forks

0

Average repository stars per indexed skill

6

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

algorithms

jeffweiss

Use when researching algorithms, data structures, optimization, performance, or need modern alternatives to classic algorithms

GitHub

cognitive-complexity

jeffweiss

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...

GitHub

distributed-systems

jeffweiss

Use when working with distributed systems, clustering, consensus algorithms, network partitions, CAP tradeoffs, or distributed Erlang/Elixir patterns

GitHub

elixir-patterns

jeffweiss

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...

GitHub

phoenix-liveview

jeffweiss

Use when working with Phoenix LiveView - streams, forms, authentication, hooks, real-time features, or encountering LiveView-specific issues

GitHub

production-quality

jeffweiss

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.