Does it automatically resolve human comments?

No, by default it only auto-resolves comments from known AI bots. Human comments receive a reply with the fix details, but the thread remains open for the human reviewer to verify and close manually.

How does it handle incorrect or misleading feedback?

The skill includes a 'Critical Thinking' phase. If it determines a reviewer's suggestion is technically flawed or would introduce a bug, it will pause to discuss the assessment with the user rather than applying the fix.

Can I use this with any Git provider like GitLab or Bitbucket?

This specific skill is built for GitHub and utilizes the GitHub CLI (gh) and GraphQL API to manage review threads and resolutions.

Does it create a single commit for all PR fixes?

No, it follows the principle of atomic commits. It groups related changes by topic so that each commit represents a single logical improvement, making the PR history cleaner and easier to review.

PR Comment Resolver

Name: PR Comment Resolver
Author: VdustR

byVdustR

Collaboration Tools

Automates the complete workflow of reviewing, fixing, and resolving GitHub pull request comments with atomic commits.

About

The PR Comment Resolver skill streamlines the code review process by automatically fetching unresolved GitHub pull request comments, evaluating the feedback, and implementing required fixes. It distinguishes between human and AI reviewers to handle auto-resolution safely, applying atomic commits for logical changes and providing detailed thread replies with commit links. By integrating directly with GitHub's GraphQL API, it enables Claude Code to manage feedback cycles efficiently, ensuring high code quality while significantly reducing the manual effort required to address PR feedback.

Key Features

Critical evaluation of feedback to prevent implementing incorrect or flawed suggestions
Intelligent AI vs. Human reviewer detection for conditional thread resolution
Comprehensive summary reporting of all processed comments and actions taken
0 GitHub stars
Automated GitHub GraphQL integration for fetching and resolving review threads
Atomic commit generation following conventional commit standards

Use Cases

Processing large batches of feedback from automated AI code review tools
Addressing routine style, linting, and logic suggestions across complex pull requests
Automating the response cycle for human code reviews with detailed commit references

About

Key Features

Critical evaluation of feedback to prevent implementing incorrect or flawed suggestions
Intelligent AI vs. Human reviewer detection for conditional thread resolution
Comprehensive summary reporting of all processed comments and actions taken
0 GitHub stars
Automated GitHub GraphQL integration for fetching and resolving review threads
Atomic commit generation following conventional commit standards

Use Cases

Processing large batches of feedback from automated AI code review tools
Addressing routine style, linting, and logic suggestions across complex pull requests
Automating the response cycle for human code reviews with detailed commit references