Built on clinical epidemiology, biostatistics, causal inference, and evidence-based medicine. TrialReviewer analyzes RCTs, observational studies, meta-analyses, and diagnostic research using effect sizes, survival analysis, bias detection, GRADE, and benefit-harm frameworks to judge whether findings are valid, meaningful, and practice-changing.
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 AI reviewers cross-examine a backlog item for thin user value, hidden effort, and roadmap misfit before you commit a sprint to it.
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.
Review AI agents, automation workflows, and project architectures for design gaps, risks, missing requirements, and improvement opportunities.
Turn sourced App Store reviews into ranked product opportunities, MVP boundaries, and demand tests.
Paste PostgreSQL migration SQL, an ORM migration, or a PR diff. Get a PASS/REVISE/BLOCK review with statement-level lock and rewrite risks, safer DDL, zero-downtime rollout steps, rollback boundaries, monitoring SQL, and a paste-ready PR comment.
Instantly screen & score resumes against any job description using AI. Upload multiple resumes, get a 0–100 match score, HIRE/MAYBE/REJECT verdict, matched skills, missing skills, and a recruiter-style summary — in seconds. Perfect for HR teams, recruiters, and hiring managers who want to cut screening time from hours to minutes.