How does the skill handle multiple feedback items?

It uses a systematic parsing method to split numbered or bulleted lists into individual tasks, creating a structured todo list that is processed one item at a time.

Can it run my project tests after making changes?

Yes, the workflow includes a validation step where it runs affected tests and linting tools like ruff to ensure that the feedback implementation hasn't introduced regressions.

What happens if the reviewer's feedback is unclear?

The skill is designed to identify ambiguous items during the parsing phase and will ask the user for clarification before starting the implementation.

Does it support different types of feedback like documentation or testing?

Absolutely. It handles code logic changes, new feature requests, documentation updates, and the addition of unit tests following pytest conventions.

Review Feedback Implementation

Name: Review Feedback Implementation
Author: kivilaid

bykivilaid

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Collaboration Tools

Systematically processes and executes code changes based on reviewer comments and pull request feedback.

About

The Review Feedback Implementation skill provides a structured workflow for developers to address code review comments efficiently. By parsing reviewer notes into actionable todo lists, it ensures every piece of feedback is addressed through a systematic process of locating code, making edits, and verifying changes. This skill streamlines the often tedious process of closing pull requests by automating task tracking, running relevant tests, and maintaining project-specific coding conventions throughout the refactoring process.

Key Features

Integrated verification through syntax checks and test runs
Automated parsing of review comments from lists or raw text
Systematic code modification following CLAUDE.md conventions
Support for refactoring, documentation updates, and new test cases
6 GitHub stars
Dynamic todo list creation and real-time status tracking

Use Cases

Addressing a long list of change requests on a complex Pull Request
Implementing structural improvements suggested during a peer code review
Standardizing type hints and documentation across multiple files based on team feedback

About

Key Features

Integrated verification through syntax checks and test runs
Automated parsing of review comments from lists or raw text
Systematic code modification following CLAUDE.md conventions
Support for refactoring, documentation updates, and new test cases
6 GitHub stars
Dynamic todo list creation and real-time status tracking

Use Cases

Addressing a long list of change requests on a complex Pull Request
Implementing structural improvements suggested during a peer code review
Standardizing type hints and documentation across multiple files based on team feedback