Why does this skill forbid phrases like 'You're absolutely right'?

To maintain technical rigor. The skill prioritizes factual verification and code-based evidence over performative social agreement, ensuring changes are made for the right reasons.

How does it handle conflicting feedback from different reviewers?

It implements a hierarchy of trust, prioritizing the human partner's prior decisions and requiring technical justification before accepting external suggestions that might break existing functionality.

What happens if a code review suggestion is unclear?

The skill follows a 'stop and ask' protocol. It will not implement partial feedback if other items are unclear, as related changes often depend on a holistic understanding of the requested edits.

How does this skill support YAGNI (You Ain't Gonna Need It)?

It includes a check to grep the codebase for actual usage when a reviewer suggests a 'proper' implementation of a feature, preventing the addition of unused or unnecessary code.

Code Review Reception

Name: Code Review Reception
Author: januarfonti

byjanuarfonti

Collaboration Tools

Standardizes the evaluation and implementation of code review feedback using technical rigor rather than performative agreement.

About

The Receiving Code Review skill transforms how Claude processes feedback by prioritizing objective verification over social compliance. It provides a structured framework for analyzing peer and human feedback, ensuring that suggestions are technically sound for the specific codebase before implementation. By enforcing a 'verify-then-act' workflow and discouraging performative politeness, the skill reduces the risk of blind implementation, catches YAGNI violations, and ensures that code changes are driven by technical necessity and architectural alignment.

Key Features

Anti-performative filters to replace empty agreement with technical action
Dependency-aware clarification protocols for handling ambiguous instructions
Context-specific skepticism for external versus trusted human reviewers
Structured 'Read-Understand-Verify' response pattern for all feedback
Integrated YAGNI verification to prevent unnecessary feature bloat
0 GitHub stars

Use Cases

Processing complex pull request comments from multiple external reviewers
Clarifying vague or high-level instructions from a human partner before implementation
Providing reasoned technical pushback against suggestions that conflict with architectural goals

About

Key Features

Anti-performative filters to replace empty agreement with technical action
Dependency-aware clarification protocols for handling ambiguous instructions
Context-specific skepticism for external versus trusted human reviewers
Structured 'Read-Understand-Verify' response pattern for all feedback
Integrated YAGNI verification to prevent unnecessary feature bloat
0 GitHub stars

Use Cases

Processing complex pull request comments from multiple external reviewers
Clarifying vague or high-level instructions from a human partner before implementation
Providing reasoned technical pushback against suggestions that conflict with architectural goals