What languages does the Create Review Checklist skill support?

It includes specialized templates for Mojo (including .🔥 files), Python, Markdown documentation, and various configuration formats like TOML, YAML, and JSON.

How does it help prioritize the review process?

It classifies items by urgency: Critical (must fix), High (should fix), Medium (nice to have), and Low (optional), allowing reviewers to focus on blockers first.

How does the skill identify which checklist to generate?

The skill analyzes the PR's file extensions and content patterns to automatically categorize changes into implementation, tests, documentation, or configuration groups.

Is this skill suitable for the Mojo programming language?

Yes, it is specifically optimized for Mojo, including checks for v0.26.1+ syntax, memory safety, traits conformance, and SIMD usage.

Can it handle PRs that contain multiple file types?

Yes, the skill is designed for multi-type changes and generates a consolidated report that covers all detected categories, ensuring consistency across code and docs.

Code Review Checklist Generator

Name: Code Review Checklist Generator
Author: mvillmow

bymvillmow

•

Seguridad y Pruebas

Generates context-aware review checklists for Mojo, Python, tests, and documentation to ensure high-quality code submissions.

Acerca de

This skill automates the creation of tailored code review checklists by analyzing pull request changes and categorizing files by their specific domain. It provides specialized guidance for Mojo implementation (focusing on memory safety and SIMD), Python code (PEP 8 and type hints), and testing frameworks, helping developers and reviewers focus on critical aspects like security vulnerabilities, performance regressions, and documentation completeness before approval.

Características Principales

Structured output including primary focus areas, risks, and quick wins
Comprehensive multi-type support for PRs containing code, tests, and docs
12 GitHub stars
Tailored templates for memory safety, ownership patterns, and style guides
Prioritized review items categorized by criticality (Critical to Optional)
Automatic detection of Mojo, Python, and configuration file changes

Casos de Uso

Standardizing code review quality across team members with varying language expertise
Ensuring Mojo-specific optimizations like SIMD and zero-warnings are verified
Creating focused checklists for large pull requests with mixed code and documentation

Acerca de

Características Principales

Structured output including primary focus areas, risks, and quick wins
Comprehensive multi-type support for PRs containing code, tests, and docs
12 GitHub stars
Tailored templates for memory safety, ownership patterns, and style guides
Prioritized review items categorized by criticality (Critical to Optional)
Automatic detection of Mojo, Python, and configuration file changes

Casos de Uso

Standardizing code review quality across team members with varying language expertise
Ensuring Mojo-specific optimizations like SIMD and zero-warnings are verified
Creating focused checklists for large pull requests with mixed code and documentation