Guides, a 56-item checklist, a ready PR template, and a fill-in team policy for code review culture. Includes 10 good/bad comment pairs and 30 situational review comments, unified by a blocker/suggestion/nit/question/praise severity system.
I've reviewed hundreds of codebases and PRs across Python, JavaScript, C#, TypeScript, Go, Rust, and more. I've distilled that debugging and code review judgment into this skill to help you find bugs, spot security vulnerabilities, and improve code quality before merging.
I have spent more than 25 years in programming and web development, with a strong focus on performance, security, and writing lean code that does not waste resources. Good code should be clear, fast, safe, and practical to maintain. That same mindset is what I bring to this skill.
Production-grade code quality standards for AI coding agents: no-hacks policy, core values hierarchy, universal clean code principles, language-agnostic pitfalls, multi-stack security checks, and TypeScript-first depth with coverage-gap patterns. Grounded in real production failure modes, with standards and tooling spanning 19 languages.
Automated OWASP Top 10 security audit with severity ratings, CWE mappings, and remediation code.
Paste a diff and 4 independent AI reviewers (security, reliability, maintainability, performance) cross-check each other, then hand you CONFIRMED/DISPUTED findings and a merge-or-block call.
Hands-on prompt engineering and LLM evaluation. Built around a diagnose-then-ship loop: forensic transcript critique ▎ that names the exact failure mode, paired with a fixer that produces complete, deployment-ready rewrites — not ▎ vague advice.
Vibe Code Reviewer — Reviews AI-generated code for the mistakes that sink vibe-coded apps: exposed API keys, missing auth, SQL injection, client-trusted payments. Built for non-engineers — plain-language findings, severity ratings, copy-paste fixes. Catches the security holes behind the "45% of AI code is vulnerable" stat before you ship.
Helps users turn rough prompts into clear, specific, reusable prompts in different LLMs through concise critique.