Why does this skill prohibit saying 'Great point!' or 'Thanks'?

To focus the AI on technical correctness and actual implementation rather than social performance or empty agreement, ensuring the code itself reflects the feedback.

What is the 'YAGNI' check in this context?

It prompts the AI to verify if a suggested feature or refactor is actually necessary by checking the codebase for usage before building unused functionality.

What happens if a reviewer suggests a technically incorrect change?

The skill provides a framework for technical pushback using reasoning, codebase evidence, and reference to existing tests rather than defensive responses.

How does the skill handle unclear review comments?

The AI is instructed to stop and request clarification for all items before implementing any part of the feedback, preventing partial or incorrect implementations.

Code Review Reception

Name: Code Review Reception
Author: noeljackson

bynoeljackson

0•

Collaboration Tools

Standardizes the way Claude processes and implements code review feedback with a focus on technical verification and rigor over performative agreement.

The Receiving Code Review skill provides a structured framework for Claude to handle feedback with professional skepticism and technical depth. Instead of blindly implementing suggestions or using performative politeness (like 'Great point!'), this skill mandates a verification-first workflow. It ensures the AI understands the technical context, performs YAGNI checks, handles ambiguous instructions by asking for clarification, and provides reasoned pushback when suggestions conflict with the existing codebase or architectural decisions.

Key Features

01Automated elimination of performative agreement and gratitude fillers

020 GitHub stars

03Strict 'Verify before Implementing' protocol to ensure technical correctness

04Standardized implementation order prioritizing blocking issues and security

05YAGNI (You Ain't Gonna Need It) verification for requested 'professional' features

06Heuristic for handling unclear or multi-item feedback batches

Use Cases

01Maintaining architectural integrity by pushing back on technically unsound requests

02Critically evaluating and implementing high-volume technical suggestions

03Processing complex Pull Request feedback from external reviewers or team leads

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add noeljackson/agentic receiving-code-review

For use in Claude.ai and ChatGPT

Key Features

01Automated elimination of performative agreement and gratitude fillers

020 GitHub stars

03Strict 'Verify before Implementing' protocol to ensure technical correctness

04Standardized implementation order prioritizing blocking issues and security

05YAGNI (You Ain't Gonna Need It) verification for requested 'professional' features

06Heuristic for handling unclear or multi-item feedback batches

Use Cases

01Maintaining architectural integrity by pushing back on technically unsound requests

02Critically evaluating and implementing high-volume technical suggestions

03Processing complex Pull Request feedback from external reviewers or team leads

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add noeljackson/agentic receiving-code-review

For use in Claude.ai and ChatGPT