code-review

Automate code commit reviews for bugs and SOLID principle adherence.

2|Updated May 15, 2026

Search Tags:#code quality #software engineering #code review #best practices #feedback

Ready to run

npx skills add https://github.com/bdbch/ai-dotfiles --skill code-review-bdbch

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/bdbch/ai-dotfiles/tree/main/skills/code-review
Command: npx skills add https://github.com/bdbch/ai-dotfiles --skill code-review-bdbch

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Streamlines the code review process, reducing the time spent on code quality checks and fostering collaboration among team members.

Core Features & Use Cases

Code Quality Analysis: Evaluates code for best practices, potential bugs, and adherence to design principles.
Feedback Delivery: Provides structured feedback to improve code readability and maintainability.
Use Case: Ideal for software engineering teams, the code-review Skill simplifies post-code change reviews, making the process more efficient and effective.

Quick Start

Perform a review of the latest code commit for quality issues and get feedback.

Frequently Asked Questions about code-review

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

FAQPage Schema

How do I automate code review for best practices and potential bugs?▼

Automate code review by evaluating commits against best practices, potential bugs, and SOLID principles to receive structured feedback on code quality. This process targets software engineering workflows to streamline post-code change checks.

What is the best way to check code commits for adherence to SOLID principles?▼

Checking code commits for SOLID principles involves analyzing the changes against design principles to identify architectural violations. This automated review provides structured feedback to improve code readability and maintainability.

How does automated feedback delivery improve software engineering workflows?▼

Automated feedback delivery improves software engineering workflows by providing structured insights into code quality issues directly after commits. This reduces the time spent on manual quality checks and fosters better team collaboration.

Can I use code quality analysis for collaborative team reviews?▼

You can use code quality analysis for collaborative team reviews to simplify the post-code change evaluation process. It evaluates code for best practices and potential bugs, making the collaborative review process more efficient and effective.

What are the limitations of automating code quality checks for commits?▼

Automating code quality checks for commits focuses strictly on evaluating best practices, potential bugs, and SOLID principles. It provides structured feedback on code readability and maintainability, but requires human oversight for complex architectural decisions.