Total 50,307 skills, Code Quality has 2284 skills
Showing 12 of 2284 skills
Dead code cleanup and consolidation specialist. Use PROACTIVELY for removing unused code, duplicates, and refactoring. Runs analysis tools to identify dead code and safely removes it.
Comprehensive code reviewer for Java and Python implementations focusing on correctness, efficiency, code quality, and algorithmic optimization. Reviews LeetCode solutions, data structures, and algorithm implementations. Use when reviewing code, checking solutions, or providing feedback on implementations.
Use when prettier configuration including options, config files, ignore patterns, and formatting rules.
Comprehensive Rust coding guidelines with 179 rules across 14 categories. Use when writing, reviewing, or refactoring Rust code. Covers ownership, error handling, async patterns, API design, memory optimization, performance, testing, and common anti-patterns. Invoke with /rust-skills.
Object-oriented design principles including object calisthenics, dependency inversion, fail-fast error handling, feature envy detection, and intention-revealing naming. Triggers on: writing new classes or functions, refactoring, code review, 'clean up', method longer than 10 lines, feature envy, primitive obsession, deep nesting.
SOLID principles for React 19. Files < 100 lines, hooks separated, interfaces in src/interfaces/, JSDoc mandatory. Use for React architecture and code quality.
Review and verify Python code against PEP 8 using flake8, and optionally apply safe formatting fixes with black after explicit user confirmation. Use when users ask to check style compliance, lint Python files, or fix PEP 8 issues in a target folder.
CleanSlice architecture for NestJS + Nuxt full-stack apps. Use for vertical slice features, gateway pattern, Provider.vue, Pinia stores, DTOs, or any CleanSlice project work.
Use when auditing project structure, planning refactors, improving code organization, analyzing dependencies and module boundaries, or identifying structural issues. TypeScript/JavaScript-primary with language-agnostic patterns.
Guides when to abstract vs duplicate code. Use this skill when creating shared utilities, deciding between DRY/WET approaches, or refactoring existing abstractions.
Assess and prioritize tech debt items. Use when a senior developer needs an investment plan for debt reduction.
Teaches learners to extract transferable design lessons from real-world codebases through critical evaluation and systematic exploration. Use when a learner wants to study existing code to learn patterns, architecture, or design decisions—not just understand what it does. Guides through navigation, pattern recognition, critical evaluation (deliberate choice vs. compromise), and lesson extraction. Triggers on phrases like "learn from this codebase", "study how X is implemented", "understand design patterns in Y", or when a learner wants to improve by reading real code.