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Buckeyes22
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code-review

Review changed code on pull requests for tests, dead code, type safety, lint, and conventions.

Updated Aug 23, 2026
Search Tags:#testing#linting#python#code-quality#type-safety#code-review
One-click install
npx skills add https://github.com/Buckeyes22/weather-app --skill code-review-buckeyes22
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/Buckeyes22/weather-app/tree/main/docs/corpora/hindsight/skills/code-review
Command: npx skills add https://github.com/Buckeyes22/weather-app --skill code-review-buckeyes22

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the process of reviewing changed code against project standards, ensuring tests exist, dead code is identified, type safety is enforced, lint issues are addressed, and coding conventions are followed, speeding up code reviews.

Core Features & Use Cases

  • Automated checks for missing tests, dead code, type safety, lint issues, and coding convention adherence.
  • Applies to pull requests and feature branches to validate new changes before merging.
  • Provides actionable feedback that guides developers to fix quality gaps and maintain code health.

Quick Start

Run the code-review workflow on the latest pull request to verify compliance and generate a concise report.

Frequently Asked Questions about code-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate code quality checks for pull requests?▼

Automate code quality checks for pull requests by evaluating changed code against project standards to catch missing tests, dead code, type-safety issues, and lint problems before merging.

What is the best way to enforce type-safety and lint rules on a feature branch?▼

Enforce type-safety and lint rules on a feature branch by applying automated checks that identify coding-convention violations and dead code, ensuring structured data handling with Pydantic models or dataclasses.

Can I check for missing tests and dead code automatically before merging a PR?▼

Yes, you can check for missing tests and dead code automatically before merging a PR by running an evaluation workflow on the latest pull request to verify compliance and generate a concise report.

Does automated code review work with Python projects using Pydantic models?▼

Automated code review works with Python projects using Pydantic models by enforcing best practices that ensure structured data handling and surfacing actionable feedback for type-safety and coding-convention gaps.

What kind of feedback does automated code review provide for coding convention violations?▼

Automated code review provides actionable feedback for coding convention violations that guides developers to fix quality gaps and maintain code health by surfacing specific issues in the changed code.

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