Total 53,816 skills, Code Quality has 2426 skills
Showing 12 of 2426 skills
Multi-perspective code review strategy covering architecture, security, performance, and quality. Follow when reviewing code or analyzing changes.
Single source of truth for linting/formatting across workspaces. Apply when setting up or modifying ESLint/Prettier configuration in multi-workspace projects.
Audit a codebase for handcrafted code that duplicates functionality already available in the project's dependencies. Reads package.json, launches parallel exploration agents, verifies replacement feasibility, and produces a structured refactor plan. Audit only -- does not execute changes.
Executable documentation governance with compound engineering and abductive learning. Enforces the Seven Laws through type compilation, schema validation, and hookify-based enforcement. Implements programmatic compound engineering where K' = K ∪ crystallize(assess(τ)) for monotonic knowledge growth. Integrates abstracted abductive learning (OHPT protocol) for systematic debugging and pattern extraction. Trigger when writing code, debugging, establishing governance, or when mentioned vibecode, compound, abductive, or executable documentation. Self-validating and homoiconic.
Code review of current git changes, compare to related plan if exists, identify bad engineering, over-engineering, or suboptimal solutions. Use when user asks to review changes, check git diff, validate implementation quality, or assess code changes.
Use when writing code, documentation, or comments - always use accessible and respectful terminology
Perform automated code reviews with best practices, security checks, and refactoring suggestions. Use when reviewing code, checking for vulnerabilities, or analyzing code quality.
Comprehensive code review assistant that analyzes code for security vulnerabilities, performance issues, and code quality. Use when reviewing pull requests, conducting code audits, or analyzing code changes. Supports Python, JavaScript/TypeScript, and general code patterns. Includes automated analysis scripts and structured checklists.
Review code changes from multiple specialist perspectives in parallel. Use when you want a thorough review of a PR, branch, or set of changes covering security, performance, correctness, edge cases, and ripple effects. Spawns parallel reviewer agents that each focus on a different lens, then synthesizes into a unified review.
Automatically scan and execute all skills ending with best-practice to check if the project complies with best practices. Ensure all relevant best practices are checked through the auto-discovery mechanism, and enforce standardized validation instructions to improve output stability.
Use when designing solutions, adding features, or refactoring by applying KISS, YAGNI, and Principle of Least Astonishment to write simple, predictable code.
Structured debug mode focused on root-cause confirmation and controlled fixes.