How does the skill handle unclear feedback?

It triggers a specific protocol that halts implementation and requests clarification on ambiguous items to prevent partial or incorrect code changes.

Does this skill help with external contributors?

Yes, it includes logic to treat external feedback with healthy skepticism, checking suggestions against the existing codebase context and platform requirements before execution.

What is the implementation order for multi-item reviews?

It prioritizes items by first clarifying the unknown, then addressing blocking issues/security, followed by simple fixes, and finally complex refactoring.

Why does this skill discourage saying 'thank you' or 'great point'?

It prioritizes technical action and objective verification over performative agreement, ensuring the focus remains on the code itself rather than social comfort.

Receiving Code Review

Name: Receiving Code Review
Author: claudiodearaujo

byclaudiodearaujo

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협업 도구

Manage code review feedback with technical rigor and objective verification while avoiding performative agreement.

This skill optimizes how Claude processes and responds to code review feedback by prioritizing technical accuracy over social pleasantries. It implements a structured response pattern—Read, Understand, Verify, Evaluate, Respond, Implement—ensuring that every suggestion is vetted against the current codebase and project goals (including YAGNI principles) before any changes are made. By discouraging performative responses like 'Great point!' or 'You're absolutely right!', it ensures a focus on high-quality, functional code and clear technical communication between AI and human developers.

주요 기능

01Structured clarification protocol for ambiguous or multi-item feedback

02YAGNI (You Ain't Gonna Need It) evaluation for suggested features

03Automatic removal of performative agreement and social filler

04Standardized RUVERI response pattern for feedback processing

051 GitHub stars

06Technical verification checks for external and internal review suggestions

사용 사례

01Integrating feedback from human developers without blind implementation

02Prioritizing complex fixes and blocking issues in large-scale code reviews

03Evaluating pull request comments from external reviewers for technical compatibility

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro receiving-code-review

For use in Claude.ai and ChatGPT

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