How does it handle unclear feedback items?

The skill mandates a 'stop and ask' approach. If any item in a list of feedback is unclear, it prevents implementation of the clear items until the full context is understood to avoid regressions.

What is the 'YAGNI check' feature?

It prompts the AI to grep the codebase for actual usage of a suggested feature. If the feature isn't called or required by the current scope, it suggests pushing back to avoid unnecessary code bloat.

Why does this skill discourage saying 'Thank you' or 'You're right'?

It prioritizes technical action and objective verification over performative social cues. This ensures the focus remains on code correctness and prevents blind implementation of potentially incorrect suggestions.

Can this skill be used for GitHub PRs?

Yes, it includes specific instructions for replying directly to inline comment threads via the GitHub API, ensuring communication stays organized within the proper pull request context.

Code Review Reception

Name: Code Review Reception
Author: kgadek

bykgadek

Collaboration Tools

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

About

This skill equips Claude to handle code review feedback efficiently by enforcing a systematic approach: reading, understanding, verifying against the codebase, and evaluating technical soundness. It specifically discourages 'socially comfortable' but technically hollow responses like 'You're absolutely right,' instead favoring factual acknowledgments, clarifying questions, and reasoned pushbacks based on YAGNI (You Ain't Gonna Need It) principles or existing codebase constraints to ensure high-quality, necessary code changes.

Key Features

Structured templates for technical pushback and clarification
Automated YAGNI checks for suggested 'professional' features
0 GitHub stars
GitHub thread-specific reply formatting for PR comments
Systematic response pattern for incoming feedback verification
Context-aware handling for human partners versus external reviewers

Use Cases

Evaluating external security or performance suggestions against existing architecture
Processing complex pull request feedback from multiple reviewers
Clarifying ambiguous or technically questionable instructions before implementation

About

Key Features

Structured templates for technical pushback and clarification
Automated YAGNI checks for suggested 'professional' features
0 GitHub stars
GitHub thread-specific reply formatting for PR comments
Systematic response pattern for incoming feedback verification
Context-aware handling for human partners versus external reviewers

Use Cases

Evaluating external security or performance suggestions against existing architecture
Processing complex pull request feedback from multiple reviewers
Clarifying ambiguous or technically questionable instructions before implementation