How does this skill handle project dependencies?

It specifically monitors pyproject.toml for changes, comparing the PR branch against the main development branch to flag modifications in main, optional, or development dependencies.

How does it evaluate test quality?

It goes beyond checking if tests exist; it looks for code duplication, checks if tests are in the correct modules, and suggests parametrization using pytest patterns to reduce maintenance burden.

Does it check for documentation updates?

Yes, it scans the documentation directory for relevant pages whenever a PR modifies the public API or configuration options to ensure the docs remain up to date.

Can I provide specific focus areas for the review?

Absolutely. You can provide optional reviewer instructions after a double-dash (--) in the command to tell Claude which specific areas or logic to prioritize.

Does it require external tools?

Yes, this skill relies on the GitHub CLI (gh) for fetching PR data and git for managing worktrees and repository state.

GitHub PR Reviewer

Name: GitHub PR Reviewer
Author: Thanhhuong0209

byThanhhuong0209

0•

Collaboration Tools

Performs comprehensive GitHub pull request analysis including dependency auditing, test coverage evaluation, and CI status verification.

The Review PR skill enables Claude to perform deep, structured audits of GitHub pull requests directly within your terminal. By creating isolated worktrees, it analyzes code changes in their full context, fetches related issues, and evaluates CI linting results. It specifically monitors pyproject.toml for dependency risks, assesses test suite health—looking for duplication and missing regression tests—and ensures that public API changes are reflected in the project documentation, providing a structured verdict for every review.

Key Features

01Cross-referencing with linked GitHub issues to understand original problem context

02Heuristic-based test coverage audit including parametrization and placement checks

03Isolated worktree creation for safe, local code analysis and navigation

040 GitHub stars

05Integration with GitHub CI to fetch and analyze failed lint or mypy logs

06Automated dependency impact analysis for pyproject.toml changes

Use Cases

01Automating the first pass of code reviews to catch linting errors and missing tests

02Analyzing the impact of third-party dependency updates on a project

03Verifying that new features are properly documented and have regression coverage

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add thanhhuong0209/dlt-normalization review-pr

For use in Claude.ai and ChatGPT

Key Features

01Cross-referencing with linked GitHub issues to understand original problem context

02Heuristic-based test coverage audit including parametrization and placement checks

03Isolated worktree creation for safe, local code analysis and navigation

040 GitHub stars

05Integration with GitHub CI to fetch and analyze failed lint or mypy logs

06Automated dependency impact analysis for pyproject.toml changes

Use Cases

01Automating the first pass of code reviews to catch linting errors and missing tests

02Analyzing the impact of third-party dependency updates on a project

03Verifying that new features are properly documented and have regression coverage

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add thanhhuong0209/dlt-normalization review-pr

For use in Claude.ai and ChatGPT