Total 43,502 skills, Code Quality has 2028 skills
Showing 12 of 2028 skills
Review code for quality, security, and pattern compliance, then auto-fix Critical/High issues. Grounds every finding in actual codebase reference files.
Four-phase debugging framework that finds root causes before proposing fixes. Use when investigating bugs, errors, unexpected behavior, failed tests, or when previous fixes haven't worked.
Software design principles and patterns. This skill should be used when making architectural decisions, designing classes or modules, or evaluating code structure. Use proactively when discussing SOLID principles, coupling, cohesion, connascence, refactoring structure, class design, module boundaries, dependency injection, or the Four Rules of Simple Design. (user)
Comprehensive code review with parallel specialist sub-agents. Analyzes requirements traceability, code quality, security, performance, accessibility, test coverage, and technical debt. Produces detailed findings and calls /qa-gate for final gate decision.
Code quality validation with linters, SOLID principles, DRY detection, error detection, and architecture compliance across all languages.
Must always be enabled when writing/reviewing TypeScript code.
Executes comprehensive PR reviews following Freenet standards. Performs four-perspective review covering code-first analysis, testing, skeptical review, and big-picture assessment.
Pre-commit code quality review workflow. Use before committing changes to verify code quality, security, testing coverage, and adherence to project conventions. Supports both automated checking and interactive review modes.
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.
Python development best practices including PEP 8 style guidelines, type hints, docstring conventions, and common patterns. Use when writing or modifying Python code.
Identifies bugs, analyzes errors, performs root cause analysis, and proposes fixes
Review Code