How does it handle unclear feedback?

The skill mandates a 'stop and clarify' approach where Claude must understand every item in a feedback list before implementing any of them to prevent partial or incorrect fixes.

Does it work with external reviewers?

Specifically, yes. It includes a skepticism layer for external feedback to check for platform compatibility, context gaps, and conflicts with existing architectural decisions.

Why does this skill forbid saying 'You're absolutely right'?

It prevents performative agreement and ensures the AI focuses on technical correctness and codebase reality rather than social comfort or blind compliance.

Can Claude push back against a reviewer with this skill?

Yes, it provides a framework for providing technical reasoning to push back against suggestions that are incorrect, break functionality, or violate project-specific constraints.

Code Review Professionalism

Name: Code Review Professionalism
Author: BbgnsurfTech

byBbgnsurfTech

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협업 도구

Manages code review feedback with technical rigor by prioritizing verification and objective reasoning over performative agreement.

소개

This skill transforms how Claude handles code reviews by enforcing a strict protocol of technical verification and objective evaluation. Instead of blind implementation or social pleasantries, it guides the AI to restate requirements, cross-reference suggestions against the existing codebase, and provide reasoned pushback when necessary. It is particularly valuable for maintainers who want to ensure that every change is technically sound, adheres to YAGNI principles, and avoids regressions caused by reviewers who might lack full context or specific project history.

주요 기능

Clear guidelines for professional, non-performative communication
YAGNI-based evaluation of suggested features and optimizations
3 GitHub stars
Technical verification protocols to prevent blind implementation
Standardized response patterns for processing technical feedback
Structured workflow for handling unclear or conflicting feedback

사용 사례

Handling multi-item review lists without missing critical context or introducing regressions
Verifying if 'best practice' suggestions actually fit the specific project constraints and legacy requirements
Processing feedback from external PR reviewers while maintaining architectural integrity

소개

주요 기능

Clear guidelines for professional, non-performative communication
YAGNI-based evaluation of suggested features and optimizations
3 GitHub stars
Technical verification protocols to prevent blind implementation
Standardized response patterns for processing technical feedback
Structured workflow for handling unclear or conflicting feedback

사용 사례

Handling multi-item review lists without missing critical context or introducing regressions
Verifying if 'best practice' suggestions actually fit the specific project constraints and legacy requirements
Processing feedback from external PR reviewers while maintaining architectural integrity