Code Review Excellence

SkillFiles & storage

The code review excellence skill is an agent skill that guides an AI agent through reviewing code changes. It shifts reviews away from gatekeeping toward knowledge sharing, using constructive feedback, systematic analysis, and collaborative improvement so the person receives useful, actionable comments on their code.

Use Code Review Excellence in Claude, ChatGPT or Ahel Desktop

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Also: Claude Code · Cursor · Codex

Then ask your AI: use the Code Review Excellence skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Have an AI agent setup that supports loading agent skills.

Code Review ExcellenceStart free

What your AI can do with it

  • Applies the code review excellence skill to code changes
  • Produces constructive feedback on reviewed code
  • Performs systematic analysis of changes under review
  • Frames review comments as collaborative improvement rather than gatekeeping
  • Treats reviews as opportunities for knowledge sharing

Getting started

  1. Have an AI agent setup that supports loading agent skills.
  2. Add the code-review-excellence skill to the agent's available skills.
  3. Ask the agent to review a code change, and it will apply the skill's approach to its feedback.

What this skill tells your AI

The instructions your AI receives, as published by davila7/claude-code-templates in cli-tool/components/skills/productivity/code-review-excellence/SKILL.md and read by ahel’s review.

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.md for detailed review patterns and templates.

Signals

GitHub stars
32k
Forks
4k
Last commit
Oct 2026

Questions

What kind of thing is this?
It is an agent skill: a set of guidance an AI agent applies when reviewing code, focused on constructive feedback and collaborative improvement.
How does it change code reviews?
It moves reviews from gatekeeping to knowledge sharing, so feedback is constructive, systematic, and aimed at collaborative improvement.
Does it review code by itself?
No. It is a skill that an agent applies; the agent performs the review using the skill's approach.
Advanced
Item type
skill
Key
code-review-excellence-davila7
Source
github.com/davila7/claude-code-templates