Can this skill help reduce technical debt?

Yes, it specifically looks for inconsistent patterns, circular dependencies, and confusing implementations that contribute to long-term technical debt.

How is this different from a standard linter?

Unlike linters that focus on syntax and style, this skill evaluates high-level concepts like API design, architectural alignment, naming clarity, and whether a feature should exist in the codebase at all.

Does it support specific testing frameworks?

The skill includes a verification checklist for common workflows like pytest and uv sync, ensuring that code is not only well-written but also properly tested and integrated.

Does it provide suggestions on how to fix issues?

Yes, one of the core principles of this skill is to provide actionable feedback with specific suggestions rather than just identifying problems.

Code Review Expert

Name: Code Review Expert
Author: srogouski

bysrogouski

0•

협업 도구

Reviews code for quality, maintainability, and architectural integrity with a focus on actionable API design feedback.

The Code Review skill transforms Claude into a sophisticated technical auditor capable of evaluating code changes against high standards of maintainability and correctness. Rather than just catching syntax errors, this skill focuses on API ergonomics, idiomatic patterns, and strategic alignment with the project's long-term goals. It provides a structured framework for reviewing pull requests, helping teams maintain a healthy codebase by delivering specific, actionable feedback while filtering out unwanted functionality and technical debt.

주요 기능

01Verifies edge cases, error handling, and functional claims across related files

020 GitHub stars

03Provides specific, actionable feedback with code examples instead of generic observations

04Evaluates API design and naming conventions for consistency and user ergonomics

05Identifies architectural misalignment and potential technical debt in new contributions

06Enforces development workflow standards including testing and documentation requirements

사용 사례

01Evaluating complex API changes for intuitiveness and backward compatibility

02Auditing legacy codebases to identify non-idiomatic patterns and maintenance risks

03Automating the first pass of pull request reviews to maintain high quality standards

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add srogouski/fastmcp-demo code-review

For use in Claude.ai and ChatGPT

Download Skill