Skip to main content

codex-review

Professional code review with auto CHANGELOG generation, integrated with Codex AI. Use when you want professional code review before commits, you need automatic CHANGELOG generation, or reviewing large-scale refactoring.

الانتقال إلى التثبيت

معلومات المصدر

المستودع
bouclem/skills
آخر نشاط في المصدر
٢٤ مايو ٢٠٢٦ في ١٦:٠٤
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
٧
التفرعات
١

خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

عرض SKILL.md

SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
codex-review
description
Professional code review with auto CHANGELOG generation, integrated with Codex AI. Use when you want professional code review before commits, you need automatic CHANGELOG generation, or reviewing large-scale refactoring.
risk
unknown
source
community
date_added
2026-02-27
# 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 npx 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](https://github.com/BenedictKing/codex-review) for examples. ## Best Practices - Keep CHANGELOG.md in your project root - Use conventional commit messages ## Troubleshooting See the GitHub repository for troubleshooting guides. ## Related Skills - context7-auto-research, tavily-web, exa-search, firecrawl-scraper ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
عرض على GitHub