Total 30,538 skills, Code Quality has 1614 skills
Showing 12 of 1614 skills
Configures ESLint, Prettier, Ruff, and .NET analyzers
Identifies architectural components in codebases and calculates size metrics for decomposition planning. Use when analyzing codebase structure, planning monolithic decomposition, identifying oversized components, calculating component statistics, or when the user asks about component analysis, codebase sizing, or architectural decomposition.
Use when working on Solana Anchor programs, including Rust program files, TypeScript tests, and Anchor.toml configuration. Enforces coding guidelines like proper variable naming, avoiding magic numbers, using Array<T> syntax, and Anchor 0.32.1 best practices.
Fix build and TypeScript errors with minimal changes
Comprehensive quality gate integrating linting, type checking, specification review, and security auditing.
Simplify and refine code for clarity, consistency, and maintainability while preserving functionality. Use when asked to "simplify", "clean up", or "refactor" code, after writing complex code that could benefit from simplification, or when code has grown hard to follow.
Performs comprehensive codebase analysis covering architecture, code quality, security, performance, testing, and maintainability. Use when user wants to audit code quality, identify technical debt, find security issues, assess test coverage, or get a codebase health check.
TypeScript-first schema validation and type inference. Use for validating API requests/responses, form data, env vars, configs, defining type-safe schemas with runtime validation, transforming data, generating JSON Schema for OpenAPI/AI, or encountering missing validation errors, type inference issues, validation error handling problems. Zero dependencies (2kb gzipped).
Use when working with tdd workflows tdd refactor
Review code for architecture: module and layer boundaries, dependency direction, single responsibility, cyclic dependencies, interface stability, and coupling. Cognitive-only atomic skill; output is a findings list.
Meta-cognitive reasoning specialist for evidence-based analysis, hypothesis testing, and cognitive failure prevention. Use when conducting reviews, making assessments, debugging complex issues, or any task requiring rigorous analytical reasoning. Prevents premature conclusions, assumption-based errors, and pattern matching without verification.
Review Java code for language and runtime conventions: concurrency, exceptions, try-with-resources, API versioning, collections and Streams, NIO, and testability. Language-only atomic skill; output is a findings list.