Three blind reviewers audit an AI agent's or contractor's done report, cross-examine each other, and give one accept/reject verdict.
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.
Three independent AI reviewers — ATS Parser Realist, Recruiter Skeptic, Interview Predictor — catch what gets resumes filtered or ignored before you submit.
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.
I've spent years building production software, designing enterprise architectures, reviewing thousands of code changes, and optimizing AI-assisted development workflows. This Skill packages proven engineering, planning, documentation, testing, and code-review practices into a lightweight workflow that helps AI understand any project before making changes, reducing mistakes, hallucinations, unnecessary token usage, and repeated context loading.
Analysez logs, diagnostics, erreurs et éléments techniques fournis afin d’identifier des causes probables, prioriser les anomalies et préparer un plan de correction.
Three independent AI reviewers audit a hiring decision for unverified skills, ignored red flags, and culture or cash-flow mismatch, then cross-examine each other.
Built from hands-on Expo / React Native development workflows using AI coding agents. This skill focuses on reviewing AI work reports, spotting risks, and turning them into clear verification steps before keeping or continuing changes.
Three AI reviewers cross-examine a backlog item for thin user value, hidden effort, and roadmap misfit before you commit a sprint to it.