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.
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.
Three independent AI reviewers — ATS Parser Realist, Recruiter Skeptic, Interview Predictor — catch what gets resumes filtered or ignored before you submit.
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.
Four independent AI reviewers — Security Skeptic, Reliability Realist, Maintainability Pragmatist, and Performance Pessimist — each review your diff blind to the others' verdicts, so real bugs don't get averaged away into one polite summary.
A resume review agent that scores, diagnoses, and rewrites resumes from a recruiter’s perspective using STAR/BAR frameworks.
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.
Turn open-ended survey responses into a reviewable codebook, coded CSV, theme summary, quote table, and insight deck outline. 将开放式问卷回答整理成可人工复核的 codebook、编码表、主题摘要、引用表和洞察汇报大纲。No fabrication, no PII leakage, no statistical overclaiming.