receiving-code-review

Categorize code review feedback into Critical, Important, and Minor issues.

Updated Dec 14, 2025

Search Tags:#workflow #quality assurance #code review #best practices #feedback #software development #communication

Ready to run

npx skills add https://github.com/pproenca/dot-claude --skill receiving-code-review-pproenca

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: receiving-code-review
Source: https://github.com/pproenca/dot-claude/tree/main/plugins/super/skills/receiving-code-review
Command: npx skills add https://github.com/pproenca/dot-claude --skill receiving-code-review-pproenca

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Receiving code review feedback can be challenging, leading to blind implementation, missed clarifications, or performative agreement instead of technical rigor.

Core Features & Use Cases

Technical Verification Mandate: Requires verifying feedback against the codebase and asking for clarification before implementing.
Reasoned Pushback Guidance: Provides patterns for technically sound pushback when feedback is unclear, incorrect, or conflicts with architectural decisions.
Efficient Implementation Workflow: Guides through prioritizing fixes and testing each change individually, ensuring quality.
Use Case: When you receive code review comments, this skill ensures you critically evaluate each suggestion, verify its technical correctness, and respond with rigor, leading to higher quality code.

Quick Start

I've received code review feedback on my latest pull request. Use the receiving-code-review skill to guide my response and implementation.

Frequently Asked Questions about receiving-code-review

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

FAQPage Schema

How do I respond to code review feedback effectively?▼

Code review feedback requires technical verification before implementation. Categorize comments by severity—Critical, Important, Minor—then verify each against your codebase, ask for clarification if unclear, and implement changes one at a time with testing to ensure quality and avoid blind acceptance.

What's the best way to handle unclear or incorrect code review comments?▼

Push back respectfully using technical reasoning. Before implementing, verify the feedback against your codebase architecture and requirements. If it conflicts with design decisions or lacks clarity, ask the reviewer for specifics rather than guessing, ensuring rigor in every change.

How should I prioritize code review issues during implementation?▼

Prioritize by impact: address Critical issues first, then Important, then Minor. Implement each fix individually and run tests after every change rather than batching modifications, which catches regressions early and maintains code quality throughout the review cycle.

Why shouldn't I implement all code review feedback at once?▼

Batching changes obscures which fix caused test failures and prevents catching regressions. Testing each change individually ensures you understand the impact of every modification, maintain quality, and respond to feedback with technical rigor rather than performative compliance.

What verification steps come before implementing code review suggestions?▼

Before implementing, verify the feedback's technical validity against your codebase context, check for conflicts with architectural decisions, and confirm you understand the suggestion. Request clarification if the comment is vague or contradicts your design, ensuring informed implementation.

How do I communicate disagreement with code review feedback?▼

Ground disagreement in technical facts: show how the feedback conflicts with your architecture, performance requirements, or codebase patterns. Provide evidence from the code and explain why an alternative approach better fits your context, maintaining collaborative rigor.