Total 53,944 skills, Code Quality has 2431 skills
Showing 12 of 2431 skills
Object and class design patterns following Clean Code JavaScript.
Configure and operate BiomeJS in JavaScript/TypeScript projects, including installation, `biome.json` setup, formatter/linter/check workflows, VCS integration, and CI usage. Use when users ask to adopt Biome, tune rules/includes, set up monorepo/shared configs, or troubleshoot Biome command behavior.
Conduct rigorous, adversarial code reviews with zero tolerance for mediocrity. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this code". Identifies security holes, lazy patterns, edge case failures, and bad practices across Python, R, JavaScript/TypeScript, SQL, and front-end code. Scrutinizes error handling, type safety, performance, accessibility, and code quality. Provides structured feedback with severity tiers (Blocking, Required, Suggestions) and specific, actionable recommendations.
Triage unresolved PR review comments, produce a severity-ordered fix plan, then resolve or fix each issue with subagents. Use when addressing PR feedback before merge.
Conduct thorough code reviews with structured feedback on security, performance, architecture, and testing. Generates trackable review documents with prioritized issues (critical/required/suggestions) and educational content. Use when reviewing PRs or code changes. Triggers on "review this code", "code review", "review PR".
Verify logic diagrams against source code. Check line-number accuracy, Mermaid syntax, node completeness, and side effect documentation. Runs as independent Critic in fork context. Use when: verify logic, check logic diagram, validate phase 2, re-verify-logic.
Use when RLM requirement involves debugging a bug, test failure, or unexpected behavior. Insert Phase 1.5 between Phase 1 and Phase 2 to perform systematic root cause analysis before attempting any fixes.
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.