How does it handle conflicting feedback?

It prioritizes the project's human partner decisions and technical correctness, using reasoned pushback when suggestions conflict with existing logic or architectural goals.

What happens if a review suggestion is unclear?

The skill instructs Claude to stop and request clarification for all items before implementing any changes, preventing errors caused by partial understanding.

How does this skill handle polite phrases like 'Thank you'?

It intentionally removes performative gratitude and social fillers to focus purely on technical execution and factual accuracy, as per the core principle that actions speak louder than words.

Does it automatically implement all suggestions?

No, it treats all feedback—especially from external sources—as suggestions to be critically evaluated against codebase reality and architectural decisions before implementation.

Technical Code Review Reception

Name: Technical Code Review Reception
Author: AlabamaMike

byAlabamaMike

Collaboration Tools

Manages code review feedback with technical rigor by prioritizing verification and codebase reality over performative agreement.

About

This skill optimizes how Claude processes code review feedback by enforcing a strict 'verify-before-implementing' workflow. It replaces social niceties and performative agreement with a structured response pattern that emphasizes technical acknowledgment, clarifying questions, and rigorous checking against the existing codebase. By applying YAGNI principles and maintaining skepticism toward external suggestions, it ensures that every code change is technically justified, contextually appropriate, and free from unnecessary bloat or regressions.

Key Features

Structured clarification process for ambiguous feedback
Skeptical evaluation framework for external reviewer suggestions
Strict 'Verify-then-Implement' response pattern
YAGNI verification to prevent unnecessary feature bloat
0 GitHub stars
Automatic elimination of performative and social language

Use Cases

Evaluating complex refactoring suggestions against project constraints
Processing high-volume feedback from senior developers or external teams
Ensuring minimal, necessary implementations through YAGNI checks

About

Key Features

Structured clarification process for ambiguous feedback
Skeptical evaluation framework for external reviewer suggestions
Strict 'Verify-then-Implement' response pattern
YAGNI verification to prevent unnecessary feature bloat
0 GitHub stars
Automatic elimination of performative and social language

Use Cases

Evaluating complex refactoring suggestions against project constraints
Processing high-volume feedback from senior developers or external teams
Ensuring minimal, necessary implementations through YAGNI checks