How does it handle multiple comments on the same file?

The skill groups feedback by file or theme, allowing it to make all necessary changes in a single pass while maintaining a coherent implementation strategy.

Can it verify that the review fixes didn't break the build?

Absolutely. The workflow includes a step to run specified checks, such as unit tests or linters, after the changes have been implemented.

Is this skill limited to GitHub?

No, it can be used with review comments from any platform as long as the feedback text is provided to Claude during the session.

How does the Address Review skill handle line-specific comments?

It parses the metadata within the review comments to identify the exact files and lines referenced, ensuring that edits are applied precisely where requested.

Will this skill help me respond to my reviewers?

Yes, for every change it makes, it generates a response detailing what was updated, which you can use to reply to the reviewer on your Git platform.

Address Code Reviews

Name: Address Code Reviews
Author: Metta-AI

byMetta-AI

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协作工具

Streamlines the implementation of code review feedback by parsing comments and documenting every change made.

关于

The Address Review skill automates the tedious process of iterating on pull request feedback. It intelligently parses review comments—including those targeting specific lines—and groups them by file or theme to ensure a logical workflow. By implementing requested changes with focused edits and generating automated responses for each point of feedback, it ensures that no comment is missed and that reviewers are clearly informed of the resolutions. It is an essential tool for developers looking to accelerate the code review cycle without sacrificing quality or communication.

主要功能

Generates detailed status updates for each comment to track changes
2 GitHub stars
Reduces manual overhead when processing large volumes of PR feedback
Parses and groups review comments by file or theme for structured implementation
Supports automated verification via linting and testing checks
Applies focused, minimal code edits based on specific line-level feedback

使用场景

Summarizing and responding to complex architectural feedback across multiple files
Rapidly implementing a long list of 'nit' comments or style changes from a team lead
Ensuring every piece of peer feedback in a Pull Request is addressed and verified

关于

主要功能

Generates detailed status updates for each comment to track changes
2 GitHub stars
Reduces manual overhead when processing large volumes of PR feedback
Parses and groups review comments by file or theme for structured implementation
Supports automated verification via linting and testing checks
Applies focused, minimal code edits based on specific line-level feedback

使用场景

Summarizing and responding to complex architectural feedback across multiple files
Rapidly implementing a long list of 'nit' comments or style changes from a team lead
Ensuring every piece of peer feedback in a Pull Request is addressed and verified