Does it support specific programming languages?

The playbook features specialized quality rules for TypeScript and Python, including Biome, Pydantic, and async best practices.

What are conventional comments in this skill?

Conventional comments are a standardized format for review feedback (e.g., praise, issue, nitpick) that clarifies the intent and severity of a comment, making it easier for authors to prioritize changes.

Can this skill help identify security vulnerabilities?

Yes, it includes a dedicated security baseline checklist covering critical areas like authentication, authorization, input sanitization, and secrets management.

Is this skill meant for reviewers or authors?

It is designed for both. It provides a framework for reviewers to give better feedback and a self-review checklist for authors to use before submitting their code.

How do I use this skill with GitHub?

It includes a dedicated script that leverages the GitHub CLI to automatically fetch PR titles, diffs, and comments to provide context-aware reviews.

Code Review Playbook

Name: Code Review Playbook
Author: yonatangross

byyonatangross

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Collaboration Tools

Standardizes code reviews with structured feedback patterns, security checklists, and conventional comment templates to improve software quality.

The Code Review Playbook is a comprehensive skill designed to elevate the peer review process within engineering teams. By providing a structured framework for both reviewers and authors, it ensures that every pull request is evaluated for logic, security, and maintainability using standardized 'conventional comments' and language-specific quality rules. It helps developers move beyond surface-level syntax checks to focus on architectural integrity, security vulnerabilities, and collaborative knowledge sharing, ultimately reducing technical debt and fostering a culture of collective code ownership.

Key Features

01Language-specific quality checklists for TypeScript and Python environments

02Dynamic PR review scripts compatible with GitHub CLI for automated context fetching

03Automated security baseline checks for authentication and input validation

0492 GitHub stars

05Conventional comment system for clear, actionable, and categorized feedback

06Structured review workflows covering high-level architecture to line-by-line logic

Use Cases

01Streamlining the onboarding of junior developers with clear review expectations and templates

02Conducting deep-dive security and logic audits on critical API endpoints and backend services

03Standardizing review quality and feedback terminology across distributed engineering teams

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit code-review-playbook

For use in Claude.ai and ChatGPT

Download Skill