code-review

Generate structured code review feedback with severity-classified findings and fixes.

2|1|Updated Apr 13, 2026

Search Tags:#maintainability #review #static-analysis #quality-assurance #code-review #pull-request #security-review

Ready to run

npx skills add https://github.com/dreamingechoes/dx-toolkit --skill code-review-dreamingechoes

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/dreamingechoes/dx-toolkit/tree/main/templates/skills/code-review
Command: npx skills add https://github.com/dreamingechoes/dx-toolkit --skill code-review-dreamingechoes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Code reviews are often inconsistent and time-consuming, leading to missed defects and slower ship cycles. This Skill automates structured feedback to ensure a thorough, repeatable review process.

Core Features & Use Cases

Structured Findings: Classify issues by severity and provide actionable fixes for correctness, security, performance, readability, and maintainability.
Consistency Across PRs: Apply the same review criteria to pull requests, code submissions, and diffs across languages and repos.
Template-Driven Feedback: Generate a reusable review template that can be exported to PR comments or review tooling.

Quick Start

Annotate the given changes with a clear, structured feedback template to produce a reproducible review.

Frequently Asked Questions about code-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate consistent code reviews for pull requests?▼

Automate consistent code reviews by applying a reusable template to evaluate pull requests and diffs. This generates structured feedback classifying issues by severity across correctness, security, performance, readability, and maintainability.

Can I apply the same review criteria to code submissions across different programming languages?▼

Yes, you can apply the same review criteria to code submissions across languages and repositories. The template-driven approach ensures consistent evaluation of correctness, security, performance, readability, and maintainability regardless of the language.

How do I generate actionable code review findings from a diff?▼

Generate actionable code review findings from a diff by annotating the changes with a structured feedback template. This process classifies issues by severity and provides recommended fixes, testing considerations, and structured findings ready for review tooling.

Does automated code review work with static analysis and security checks?▼

Automated code review supports static analysis and security checks by evaluating correctness and security within its structured template. It classifies these issues by severity and provides recommended fixes to integrate directly into your review tooling.

What are the limitations of using a template-driven code review process?▼

A template-driven code review process relies on the provided diff or code submission to generate feedback. It automates the evaluation structure and consistency but requires integration with external code review tooling to export the findings as PR comments.