How does this skill handle feedback from external reviewers?

It applies a skeptical lens, requiring Claude to verify the suggestion against the existing stack, platform versions, and the human partner's prior decisions before implementation.

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

It prioritizes technical action over performative social cues to keep developer communication concise, high-signal, and focused purely on the codebase.

What happens if a review contains unclear instructions?

The skill mandates a full stop on all implementation items until clarification is provided, ensuring that partial understanding doesn't lead to regression.

Does this skill help with GitHub PR management?

Yes, it includes specific protocols for replying to inline GitHub comments via the API rather than posting top-level comments, maintaining thread organization.

Technical Code Review Reception

Name: Technical Code Review Reception
Author: KoryakinYurij

byKoryakinYurij

0•

Collaboration Tools

Standardizes how Claude processes and implements code review feedback by prioritizing technical verification over performative agreement.

This skill optimizes the code review workflow by enforcing a rigorous, logic-first approach to feedback reception. Instead of reflexive agreement or blind implementation, it guides Claude to verify suggestions against the codebase, restate requirements for clarity, and push back against technically unsound or unnecessary changes. By removing conversational clutter like performative gratitude and focusing on 'actions over words,' it ensures that every modification is justified, tested, and aligned with the project's architectural goals and YAGNI principles.

Key Features

01Mandates clarification of ambiguous feedback before proceeding with changes.

02Eliminates performative agreement and conversational fillers to maintain high signal.

03Structured pushback protocol for conflicting or technically incorrect suggestions.

040 GitHub stars

05Enforces technical verification before implementing any review suggestions.

06Integrated YAGNI checks to prevent over-engineering and unused feature creep.

Use Cases

01Systematically addressing multi-step feedback loops without missing critical context.

02Managing complex PR feedback from multiple reviewers while maintaining codebase integrity.

03Filtering external contributor suggestions against internal architectural standards.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add koryakinyurij/self-sustain-system receiving-code-review

For use in Claude.ai and ChatGPT

Key Features

01Mandates clarification of ambiguous feedback before proceeding with changes.

02Eliminates performative agreement and conversational fillers to maintain high signal.

03Structured pushback protocol for conflicting or technically incorrect suggestions.

040 GitHub stars

05Enforces technical verification before implementing any review suggestions.

06Integrated YAGNI checks to prevent over-engineering and unused feature creep.

Use Cases

01Systematically addressing multi-step feedback loops without missing critical context.

02Managing complex PR feedback from multiple reviewers while maintaining codebase integrity.

03Filtering external contributor suggestions against internal architectural standards.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add koryakinyurij/self-sustain-system receiving-code-review

For use in Claude.ai and ChatGPT