code-review-excellence
Transforms code review into learning. Helps your agent give useful feedback and improve code together with the author, making the process collaborative.
What it does
This tool helps improve code reviews. It analyzes code to ensure it's correct, secure, and efficient, turning reviews into learning opportunities for everyone.
When to use it
- ✓When reviewing changes in a programming project.
- ✓When you want to set standards for code reviews.
- ✓To mentor junior developers through feedback.
Example of what to ask your AI
“Review this code to make sure it's secure and performs well.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The AI reads the code and your instructions, then checks for errors, security issues, or slowness. It provides a summary with clear suggestions, organized by importance.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill code-review-excellenceOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/code-review-excellence/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Code Review Excellence
Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement.
Use this skill when
- Reviewing pull requests and code changes
- Establishing code review standards
- Mentoring developers through review feedback
- Auditing for correctness, security, or performance
Do not use this skill when
- There are no code changes to review
- The task is a design-only discussion without code
- You need to implement fixes instead of reviewing
Instructions
- Read context, requirements, and test signals first.
- Review for correctness, security, performance, and maintainability.
- Provide actionable feedback with severity and rationale.
- Ask clarifying questions when intent is unclear.
- If detailed checklists are required, open
resources/implementation-playbook.md.
Output Format
- High-level summary of findings
- Issues grouped by severity (blocking, important, minor)
- Suggestions and questions
- Test and coverage notes
Resources
resources/implementation-playbook.mdfor detailed review patterns and templates.
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.
FAQ
When should I not use this tool?
Don't use it if there's no code to review, if it's just a design discussion without code, or if you need to implement fixes instead of just reviewing.
What does the AI check in the code?
It checks if the code is correct, secure, fast, and maintainable (easy to understand and modify later).
What happens if the AI doesn't understand something?
It will ask for more information to ensure it understands your request correctly.
Details
Original description by the author
Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2575
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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