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

It replaces performative social agreement with technical action, ensuring the AI focuses on correctness and implementation rather than polite filler that can obscure technical errors.

How does it handle unclear feedback?

It enforces a 'stop and ask' policy where Claude identifies specific items needing clarification before attempting any implementation to avoid partial or incorrect changes.

Does it treat all reviewers the same?

No, it applies higher skepticism to external feedback while maintaining a collaborative yet rigorous approach with primary human partners, always prioritizing codebase reality.

Can Claude push back on a reviewer's suggestion with this skill?

Yes, the skill provides guidelines for pushing back using technical reasoning if a suggestion is incorrect, violates YAGNI, or conflicts with prior architectural decisions.

Technical Code Review Reception

Name: Technical Code Review Reception
Author: zhengxuyu

byzhengxuyu

0•

Herramientas de Colaboración

Enforces technical rigor and verification when processing code review feedback to ensure correctness over performative agreement.

This skill provides a structured framework for Claude to handle code review feedback with a focus on technical integrity rather than social politeness. It implements a rigorous 'verify-before-implement' workflow that eliminates performative phrases like 'you're absolutely right' in favor of objective technical acknowledgment. By checking feedback against the actual codebase reality and applying YAGNI principles, this skill ensures that only necessary, technically sound changes are implemented, while providing clear patterns for pushing back on incorrect suggestions or seeking clarification on ambiguous items.

Características Principales

01Elimination of performative social language and gratitude filler

02Context-aware skepticism for external versus internal review sources

03Verification-first response pattern for all incoming feedback

04Structured clarification process for ambiguous or multi-item reviews

05YAGNI evaluation to prevent unnecessary feature or code bloat

060 GitHub stars

Casos de Uso

01Processing complex pull request feedback from external contributors

02Auditing suggested architectural changes against existing codebase constraints

03Evaluating and implementing rapid-fire technical suggestions from a lead developer

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zhengxuyu/claude-superpowers receiving-code-review

For use in Claude.ai and ChatGPT

Características Principales

01Elimination of performative social language and gratitude filler

02Context-aware skepticism for external versus internal review sources

03Verification-first response pattern for all incoming feedback

04Structured clarification process for ambiguous or multi-item reviews

05YAGNI evaluation to prevent unnecessary feature or code bloat

060 GitHub stars

Casos de Uso

01Processing complex pull request feedback from external contributors

02Auditing suggested architectural changes against existing codebase constraints

03Evaluating and implementing rapid-fire technical suggestions from a lead developer

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zhengxuyu/claude-superpowers receiving-code-review

For use in Claude.ai and ChatGPT