receiving-code-review

Evaluate code review feedback for technical correctness before implementation.

Updated Jan 25, 2026
One-click install
npx skills add https://github.com/MINT-IA/MINT --skill receiving-code-review-mint-ia
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: receiving-code-review
Source: https://github.com/MINT-IA/MINT/tree/main/.claude/skills/receiving-code-review
Command: npx skills add https://github.com/MINT-IA/MINT --skill receiving-code-review-mint-ia

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents blind or performative acceptance of code review feedback by guiding developers to verify, clarify, and evaluate suggestions before implementation, reducing regressions and wasted work.

Core Features & Use Cases

  • Structured Response Pattern: A six-step flow to read, restate, verify, evaluate, respond, and implement feedback safely.
  • Unclear Feedback Handling: Rules to stop, ask clarifying questions, and avoid partial or incorrect implementations when items are ambiguous or interdependent.
  • Source-Specific Handling & YAGNI Checks: Different verification and pushback strategies for human partners versus external reviewers, including grepping for usage before adding features.
  • Prioritization & Safety: Instruction to implement blocking fixes first, then simple fixes, then complex refactors, with testing and regression checks after each change.
  • Communication Guidance: Templates for technical acknowledgments, reasoned pushback, graceful corrections when wrong, and proper GitHub thread behavior.

Quick Start

Ask the assistant to restate each code review item, highlight anything unclear, verify proposed changes against the codebase, and suggest a prioritized, test-first implementation plan.

Frequently Asked Questions about receiving-code-review

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

FAQPage Schema
What is the best way to respond to code review feedback on a GitHub PR?

Handling code review feedback requires restating each item, verifying proposed changes against the codebase, evaluating technical correctness, and prioritizing fixes from blocking to complex before providing reasoned acknowledgments or pushback.

How do I prioritize fixes when implementing code review comments?

Prioritize implementing code review fixes by addressing blocking issues first, then simple fixes, and finally complex refactors, ensuring you perform testing and regression checks after each change to prevent regressions.

How do I handle unclear or ambiguous code review comments?

Handle unclear code review comments by stopping to ask clarifying questions before implementation, which prevents partial or incorrect implementations when feedback items are ambiguous or interdependent.

When should I pushback on code review suggestions from external reviewers?

Pushback on code review suggestions from external reviewers after verifying the feedback against your codebase, applying YAGNI checks like grepping for usage before adding features, and evaluating the technical correctness of the directive.

Does this approach work for code maintenance directives from human partners?

Yes, this approach works for code maintenance directives from human partners by applying source-specific handling and verification strategies to evaluate technical correctness and ensure safe implementation.