functional-programmer
Functional programming principles, patterns, and practices. Use when working with functional languages (Racket, Clojure, Erlang, Haskell, Idris, Scheme, OCaml, F#, Elixir, etc.) without language-specific skills available, or when applying functional paradigms in multi-paradigm languages.
clojure-programmer
Clojure-specific philosophy, idioms, and judgment frameworks. Use when working with Clojure code. Emphasizes data-oriented design, runtime validation with spec, REPL-driven development, and the philosophy of simplicity over ease.
socratic-tutor
Pedagogical framework for teaching programming through Socratic dialogue. Use when a learner wants to LEARN programming rather than have code written for them. Triggers include "teach me", "help me understand", "I'm learning", "tutor mode", or requests to not provide solutions. Emphasizes productive struggle, graduated hints, metacognitive scaffolding, and emotional support.
logic-programmer
Logic programming thinking patterns and relational design principles. Use when working with logic languages (Prolog, miniKanren, Datalog, OWL2, Answer Set Programming) or applying declarative, constraint-based approaches in multi-paradigm systems.
Swift Programmer
Swift-specific idioms, tooling, and philosophy. Use when working with Swift code. Emphasizes protocol-oriented programming, value semantics, strict concurrency (Swift 6+), and compile-time safety guarantees.
fish-shell-scripting
Fish shell scripting judgment frameworks and critical idioms. Use when writing Fish scripts or shell automation. Focuses on when to use Fish vs bash, macOS/Fedora compatibility requirements, and Fish-specific patterns that prevent bugs (universal variable anti-patterns, wrapper functions, interactive guards).
python-programmer
Python-specific idioms, philosophy, and expert-level patterns. Use when working with Python code, including Jupyter notebooks (.ipynb). Covers Pythonic thinking, common pitfalls from other language backgrounds, testing ecosystem navigation, type hints trade-offs, and when to use modern Python features.
software engineer
Core software engineering philosophy and design principles based on Structure and Interpretation of Computer Programs (SICP). Use for all software development tasks including writing code, designing systems, refactoring, or making architectural decisions. MUST ALWAYS be loaded when working on any kind of software development or design task!
expert-skill-creator
Expert-level guidance for creating high-quality Claude Code skills. Use alongside Anthropic's skill-creator when creating new skills, improving existing skills, or needing guidance on skill content quality. Complements basic skill mechanics with research-driven content development, XML tag structuring, decision frameworks over mechanics, cross-references between skills, and systematic validation.
git-version-control
Git commit standards, branch strategy, and LLM-assisted development workflows. Use when making commits, managing branches, or working in high-velocity LLM-assisted development contexts. Covers atomic commits, conventional commits, branching strategies (trunk-based, GitHub Flow), merge vs rebase decisions, and recovery patterns.
macos-programmer
macOS-specific development patterns, platform APIs, and decision frameworks. Use when developing Mac apps, macOS applications, Cocoa/AppKit code, or making SwiftUI vs AppKit decisions. Covers NSWindow management, NSDocument architecture, sandboxing, code signing, notarization, and macOS UI patterns. Applies to Mac Catalyst considerations.
Racket Programmer
Racket-specific tooling, libraries, idioms, and language-oriented programming philosophy. Use when working with Racket code. Emphasizes LOP, contracts, macros, and design methodology.
SWI-Prolog Programmer
SWI-Prolog-specific tooling, standards, and idioms. Use when working with SWI-Prolog code. Emphasizes relational thinking, steadfastness, DCGs, constraints, and mandatory testing with PlUnit.
object-oriented-programmer
Object-oriented design principles, patterns, and practices. Use when working with object-oriented languages (Java, C#, C++, Python, Ruby, Swift, etc.) without language-specific skills available, or when applying OOP in multi-paradigm codebases.
java-programmer
Java-specific tooling, documentation standards, testing practices, and modern idioms. Use when working with Java code or Java-based projects on the JVM.
test-driven-development
Core TDD philosophy and testing principles. Use when writing tests interactively or when you need testing guidance. Emphasizes tests as contracts, mocking only across architectural boundaries and injected external systems, and fixing implementations rather than changing tests.