
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 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.

Pre-submission quality gate for AI-generated broadcast scripts. Catches timing errors, sponsor name mistakes, host voice drift, missing stage directions, and unverified facts before they reach production. 8 documented failure patterns. Works for podcasts, YouTube, and live broadcast.

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.

Automated OWASP Top 10 security audit with severity ratings, CWE mappings, and remediation code.

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.

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.

Your draft has blind spots. A structured three-lens check finds them before your readers do. For bloggers, newsletter writers, and note creators — anyone publishing text that represents their brand. What you walk away with: - A quality score (0–100) with a pass/fail threshold - 5–10 concrete, copy-paste rewrites — not vague "improve this" notes - Flags for claims that need a source - A readability check for your audience Runs in under 90 seconds. No API key. Works offline. $19 once.

Expert AI developer assistant that generates complete, production-ready RAG chatbot code for any stack. Supports: Python, JavaScript. Vector DBs: Pinecone, ChromaDB, pgvector, Qdrant, Weaviate. LLMs: OpenAI, Anthropic, Gemini, Mistral. Outputs: full pipeline code, document ingestion scripts, embedding setup, retrieval logic, system prompts and deployment guide. Paste your requirement — get complete working code instantly.