code-reviewer

Analyze diffs and generate structured code review reports across multiple languages.

Updated Jan 30, 2026

Search Tags:#automation #multi-language #static-analysis #code-review #pull-request #quality-checks #diff-analysis

Ready to run

npx skills add https://github.com/bengidev/tester_one_ios_project --skill code-reviewer-bengidev

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/bengidev/tester_one_ios_project/tree/main/skills/code-reviewer
Command: npx skills add https://github.com/bengidev/tester_one_ios_project --skill code-reviewer-bengidev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Automates and standardizes code reviews across languages, turning diffs into actionable feedback to save time and improve code quality.

Core Features & Use Cases

Cross-language coverage: TypeScript, JavaScript, Python, Swift, Kotlin, and Go.
Automated checks: diff analysis, quality scanning, and review reporting.
Use Case: When reviewing a PR, generate a structured review report highlighting blockers, improvements, and rationale for changes.

Quick Start

Ask it to run a full code review on the current diff and generate a structured report.

Frequently Asked Questions about code-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate code reviews across multiple programming languages?▼

Automate multi-language code reviews by analyzing pull request diffs and running static analysis checks. This generates structured review reports covering correctness, security, performance, and maintainability for consistent feedback.

Can I run an automated code review on a local diff before creating a pull request?▼

Yes, code review automation can be applied to local changes. Analyze your local diff to identify blockers and improvements, generating a concise summary to ensure code quality before submitting a pull request.

Does automated code review work with Python, TypeScript, and Go?▼

Automated code review works with Python, TypeScript, JavaScript, Swift, Kotlin, and Go. It performs diff analysis and quality checks across these languages to standardize feedback and improve maintainability.

What is the best way to generate a structured code review report for stakeholders?▼

Generate a structured code review report by running automated checks on your diff. The analysis compiles feedback into a consistent format with a concise summary, highlighting blockers, improvements, and rationale for stakeholders.

Why should I use automated static analysis instead of manual code review?▼

Automated static analysis standardizes code reviews across languages, turning diffs into actionable feedback. It saves time by consistently scanning for correctness, security, performance, and maintainability issues without manual effort.

What limitations should I expect when automating pull request diff analysis?▼

Automated pull request diff analysis relies on static checks and may not catch complex runtime or architectural logic errors. It should complement but not fully replace human judgment for nuanced maintainability and design decisions.