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Found 23 Skills
Use when working with SceneKit 3D scenes, migrating SceneKit to RealityKit, or maintaining legacy SceneKit code. Covers scene graph, materials, physics, animation, SwiftUI bridge, migration decision tree.
Use when modifying existing files, refactoring, improving code quality, or touching legacy code by applying the Boy Scout Rule to leave code better than you found it.
Apply systematic code refactoring with small steps, clear boundaries, and proven techniques. Use when improving existing code, reducing technical debt, cleaning up legacy code, or when user mentions refactoring, code cleanup, or code improvement.
Systematic code refactoring following Martin Fowler's catalog. Methodologies: characterization tests, Red-Green-Refactor, incremental transformation. Capabilities: SOLID compliance, DRY cleanup, code smell detection, complexity reduction, legacy modernization, design patterns, functional programming patterns. Actions: refactor, extract, inline, rename, move, simplify code. Keywords: refactor, SOLID, DRY, code smell, complexity, extract method, inline, rename, move, clean code, technical debt, legacy code, design pattern, characterization test, Red-Green-Refactor, functional programming, higher-order function, immutability, pure function, composition, currying, side effects. Use when: improving code quality, reducing technical debt, applying SOLID principles, fixing DRY violations, removing code smells, modernizing legacy code, applying design patterns.
Precise, instant code structure queries for active development — answer 'who depends on this interface before I refactor it', 'how many modules break if I change this', 'what is the real impact radius of this feature change', 'which module is the true high-coupling hotspot in this legacy codebase'. Essential before any interface change, continuous refactoring task, sprint work estimation, or when navigating unfamiliar or large legacy codebases. Requires Python 3.10+ and shell. Use nexus-mapper instead when building a full .nexus-map/ knowledge base.
Generate feature specifications by analyzing existing source code.
Enforce Pythonic standards using Black, Isort, and Flake8. Use to ensure consistency across large Python codebases and team environments.
Refactors legacy Java code to modern patterns and best practices. Use when modernizing old Java code, converting to Java 8+ features, refactoring legacy applications, applying design patterns, improving error handling, extracting methods/classes, converting to streams/Optional/records, or migrating from old Java versions. Works with pre-Java 8 code, procedural Java, legacy frameworks, and outdated patterns.
Test-driven development methodology — red-green-refactor cycle, writing failing tests first, minimal implementation, and iterative refinement. Use when implementing features test-first, when the user asks for TDD, or when writing tests before code.
Guide Test-Driven Development workflow (Red-Green-Refactor) for new features, bug fixes, and refactoring. Identifies test improvement opportunities and applies pytest best practices. Use when writing tests, implementing features, or following TDD methodology. **PROACTIVE ACTIVATION**: Auto-invoke when implementing features or fixing bugs in projects with test infrastructure (pytest files, tests/ directory). **DETECTION**: Check for tests/ directory, pytest.ini, pyproject.toml with pytest config, or test files. **USE CASES**: Writing production code, fixing bugs, adding features, legacy code characterization.
Simplify code and remove legacy/backcompat shims while preserving behavior. Use when asked to clean up or simplify code.