How does this skill improve code reviews?

It focuses on high-level concerns like API ergonomics and architectural alignment rather than just syntax, providing specific solutions instead of generic comments.

Can it help with pull request rejection?

Yes, it provides a clear decision framework to help identify when code, though functional, doesn't align with the project's long-term direction, providing clear guidance on why.

Does it support specific testing frameworks?

While general-purpose, the skill includes checks for common workflows like pytest and uv to ensure changes are properly validated before approval.

How does it handle edge cases?

The skill specifically prompts the reviewer to think through error conditions and boundary scenarios that might be missed during standard manual reviews.

Professional Code Review

Name: Professional Code Review
Author: algusaem

byalgusaem

Collaboration Tools

Reviews code changes for maintainability, API design, and logical correctness while providing actionable, high-quality feedback.

About

This skill transforms Claude into an expert code reviewer focused on technical excellence and codebase health. It goes beyond simple linting to evaluate API design, architectural patterns, and user ergonomics, ensuring that every pull request aligns with project goals. It provides contributors with specific, actionable feedback on edge cases, error handling, and naming conventions while maintaining a professional and supportive tone to foster a healthy development culture. Whether you are validating a complex refactor or reviewing an external contribution, this skill ensures the code advances the project in the right direction.

Key Features

Identifies architectural technical debt and pattern violations
Provides specific, actionable feedback with concrete code examples
Ensures alignment with project goals and established development workflows
Evaluates API design consistency and user ergonomics
Analyzes edge cases, error handling, and boundary scenarios
0 GitHub stars

Use Cases

Automating pull request reviews to ensure consistent quality standards across a team
Evaluating complex refactors for potential side effects and regressions
Onboarding new contributors by providing immediate guidance on project conventions

About

Key Features

Identifies architectural technical debt and pattern violations
Provides specific, actionable feedback with concrete code examples
Ensures alignment with project goals and established development workflows
Evaluates API design consistency and user ergonomics
Analyzes edge cases, error handling, and boundary scenarios
0 GitHub stars

Use Cases

Automating pull request reviews to ensure consistent quality standards across a team
Evaluating complex refactors for potential side effects and regressions
Onboarding new contributors by providing immediate guidance on project conventions