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takemo101
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review-guidelines

Provide domain-specific code review checklists with point-based scoring criteria.

Updated Jan 8, 2026
Search Tags:#code review#best practices#database design#security#frontend#backend#guidelines
One-click install
npx skills add https://github.com/takemo101/compose-workflow --skill review-guidelines
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-guidelines
Source: https://github.com/takemo101/compose-workflow/tree/main/.opencode/skill/review-guidelines
Command: npx skills add https://github.com/takemo101/compose-workflow --skill review-guidelines

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive, structured review guidelines across multiple domains (DB, Security, Backend, Frontend, Infra) to ensure consistent and high-quality code reviews.

Core Features & Use Cases

  • Standardized Checklists: Offers detailed, point-based checklists for various aspects of software development.
  • Automated Reviewer Guidance: Acts as a knowledge base for AI agents performing code reviews.
  • Use Case: When a pull request is submitted, AI reviewers can consult these guidelines to systematically check for adherence to best practices in database design, security, backend logic, frontend implementation, and infrastructure setup.

Quick Start

Consult the review guidelines for database design best practices.

Frequently Asked Questions about review-guidelines

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

FAQPage Schema
How do I standardize code reviews across database, security, backend, and frontend domains?▼

Code review checklists standardize the evaluation process by providing domain-specific criteria for database design, security, backend, frontend, and infrastructure, ensuring consistent quality assessment across different pull requests.

What are the best practices for automating code review with AI agents?▼

Automating code review with AI agents requires structured guidelines that serve as a knowledge base, enabling the agents to systematically check pull requests against point-based criteria for database design, security, and infrastructure.

Can I use these review guidelines to score a pull request for acceptance or rejection?▼

Yes, these review guidelines define point-based scoring criteria to evaluate whether a pull request should be accepted, sent back for revision, or rejected based on adherence to database, security, and infrastructure best practices.

How do I perform a security code review for a new pull request?▼

Performing a security code review involves consulting structured checklists to evaluate the pull request against established security best practices, ensuring vulnerabilities are systematically identified before acceptance.

Does this code review framework cover database design and infrastructure best practices?▼

Yes, this code review framework covers database design and infrastructure best practices, providing detailed checklists that evaluate schema design and infrastructure setup alongside backend and frontend implementation.

When do I need a structured code review checklist?▼

You need a structured code review checklist when standardizing the evaluation process across multiple domains like security and database design, ensuring consistent quality and objective scoring for pull request acceptance.

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