What happens if a reviewer's suggestion is technically incorrect?

The skill provides a framework for reasoned pushback, using technical evidence and codebase context to explain why a suggestion might break functionality or violate project principles.

Why does this skill discourage saying 'Thank you' or 'Great point'?

To maintain technical rigor and efficiency. The skill focuses on 'actions over words,' where the successful implementation and technical acknowledgment serve as the ultimate confirmation of feedback reception.

Does this skill work with GitHub specifically?

Yes, it includes logic for responding directly to GitHub PR comment threads using the GitHub CLI (gh api) to maintain proper communication structure.

How does it handle multiple feedback items in one review?

It follows a strict implementation order: clarify all items first, then address blocking/security issues, followed by simple fixes, and finally complex refactoring, testing each fix individually.

Professional Code Review Reception

Name: Professional Code Review Reception
Author: eyadsibai

byeyadsibai

0•

协作工具

Processes code review feedback using technical verification and reasoned evaluation instead of performative agreement.

The Receiving Code Review skill provides a rigorous framework for Claude to handle pull request comments and feedback professionally. It replaces emotional or performative responses—such as 'Great point!'—with a structured 'Read-Understand-Verify' workflow that prioritizes technical correctness over social comfort. By enforcing verification against the codebase reality and checking for YAGNI (You Aren't Gonna Need It) violations, this skill ensures that implemented changes are necessary, functional, and contextually appropriate for the specific project stack.

主要功能

01Anti-Performative Logic (Eliminates fluff and blind agreement in favor of technical action)

02Clarification Protocol (Prevents partial implementation of misunderstood or unclear feedback items)

03Structured Response Pattern (Read, Understand, Verify, Evaluate, Respond, Implement)

04Automated YAGNI Verification (Checks codebase usage before implementing 'proper' abstractions)

05Source-Specific Evaluation (Differentiates between trusted user input and external reviewer suggestions)

060 GitHub stars

使用场景

01Managing multi-item feedback by prioritizing blocking issues and security fixes over simple refactors

02Providing technical pushback against suggestions that conflict with existing architectural decisions

03Systematically processing a long list of complex PR comments from external maintainers

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add eyadsibai/ltk receiving-code-review

For use in Claude.ai and ChatGPT

Download Skill