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requesting-code-review

Compare git diffs against project requirements and architectural standards.

1|Updated Mar 15, 2026
Search Tags:#git#software engineering#quality assurance#code review#debugging#production readiness
One-click install
npx skills add https://github.com/Luizfbm/Dev-roast --skill requesting-code-review-luizfbm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: requesting-code-review
Source: https://github.com/Luizfbm/Dev-roast/tree/main/.agents/skills/requesting-code-review
Command: npx skills add https://github.com/Luizfbm/Dev-roast --skill requesting-code-review-luizfbm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the risk of shipping code with hidden bugs, architectural flaws, or unmet requirements by enforcing a structured, AI-driven peer review process before merging.

Core Features & Use Cases

  • Automated Review Dispatch: Triggers a specialized code-reviewer subagent to analyze git diffs against defined project requirements.
  • Severity-Based Feedback: Categorizes findings into Critical, Important, and Minor issues to prioritize remediation efforts.
  • Use Case: After implementing a new feature, use this skill to verify that your code matches the technical plan and meets production standards before merging into the main branch.

Quick Start

Request a code review for the changes between the current branch and the main branch by providing the implementation details and the plan reference to the code-reviewer subagent.

Frequently Asked Questions about requesting-code-review

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

FAQPage Schema
How do I automate code review for git diffs before merging to production?▼

Automate code review by triggering a specialized subagent to analyze git diffs against project requirements and architectural standards. This process categorizes findings into Critical, Important, and Minor issues to prioritize remediation before merging into the main branch.

What is the best way to assess production readiness for new software features?▼

Assess production readiness by comparing implementation changes against defined technical plans using structured checklists. This ensures code maintainability and identifies security vulnerabilities, bugs, and architectural flaws before deployment.

How does an AI-driven code review process identify architectural inconsistencies?▼

AI-driven code review identifies architectural inconsistencies by systematically comparing implementation changes against the project's defined architectural standards and technical plans. This structured assessment ensures the new code aligns with existing design patterns.

Can I prioritize bug remediation efforts based on code review severity?▼

Yes, you can prioritize bug remediation by utilizing severity-based feedback. The code assessment categorizes identified bugs, security vulnerabilities, and design flaws into Critical, Important, and Minor issues to guide your workflow.

Do I need to provide implementation details to trigger an automated quality assurance check?▼

Yes, you need to provide the implementation details and the plan reference to the code-reviewer subagent. This allows the system to accurately compare your current changes against the original requirements and architectural standards.

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