codex-review — ai-personas codex-review, cursor-claude-personas, community, ai-personas, ide skills, anthropic-claude, code-assistant, developer-tools, ide-configuration, rules-and-skills

v1.0.0

Über diesen Skill

Perfekt für Code-Review-Agenten, die eine automatisierte CHANGELOG-Generierung und professionelle Code-Analyse mit Codex-AI-Integration benötigen. Professional code review with auto CHANGELOG generation, integrated with Codex AI

# Core Topics

ratnesh-maurya ratnesh-maurya
[1]
[0]
Updated: 3/18/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 9/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
9/11
Quality Score
51
Canonical Locale
en
Detected Body Locale
en

Perfekt für Code-Review-Agenten, die eine automatisierte CHANGELOG-Generierung und professionelle Code-Analyse mit Codex-AI-Integration benötigen. Professional code review with auto CHANGELOG generation, integrated with Codex AI

Warum diese Fähigkeit verwenden

Ermächtigt Agenten, professionelle Code-Reviews mit automatischer CHANGELOG-Generierung durchzuführen, indem Codex AI für eine verbesserte Genauigkeit und Effizienz bei der Refactoring und Commit-Reviews in großem Umfang genutzt wird, unter Verwendung von natürlichen Sprachtriggern und Codex CLI.

Am besten geeignet für

Perfekt für Code-Review-Agenten, die eine automatisierte CHANGELOG-Generierung und professionelle Code-Analyse mit Codex-AI-Integration benötigen.

Handlungsfähige Anwendungsfälle for codex-review

Automatisierung von Code-Reviews für Commits
Generierung von CHANGELOGs für die Refactoring im großen Umfang
Überprüfung der Code-Qualität mit integriertem Codex AI

! Sicherheit & Einschränkungen

  • Erfordert die Installation von Codex CLI
  • Begrenzt auf Projekte mit Codex-AI-Integration

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is codex-review?

Perfekt für Code-Review-Agenten, die eine automatisierte CHANGELOG-Generierung und professionelle Code-Analyse mit Codex-AI-Integration benötigen. Professional code review with auto CHANGELOG generation, integrated with Codex AI

How do I install codex-review?

Run the command: npx killer-skills add ratnesh-maurya/cursor-claude-personas/codex-review. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for codex-review?

Key use cases include: Automatisierung von Code-Reviews für Commits, Generierung von CHANGELOGs für die Refactoring im großen Umfang, Überprüfung der Code-Qualität mit integriertem Codex AI.

Which IDEs are compatible with codex-review?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for codex-review?

Erfordert die Installation von Codex CLI. Begrenzt auf Projekte mit Codex-AI-Integration.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add ratnesh-maurya/cursor-claude-personas/codex-review. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use codex-review immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

codex-review

Install codex-review, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

codex-review

Overview

Professional code review with auto CHANGELOG generation, integrated with Codex AI

When to Use

  • When you want professional code review before commits
  • When you need automatic CHANGELOG generation
  • When reviewing large-scale refactoring

Installation

bash
1npx skills add -g BenedictKing/codex-review

Step-by-Step Guide

  1. Install the skill using the command above
  2. Ensure Codex CLI is installed
  3. Use /codex-review or natural language triggers

Examples

See GitHub Repository for examples.

Best Practices

  • Keep CHANGELOG.md in your project root
  • Use conventional commit messages

Troubleshooting

See the GitHub repository for troubleshooting guides.

  • context7-auto-research, tavily-web, exa-search, firecrawl-scraper

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