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Disaster-Terminator
Disaster-TerminatorCOMMUNITY
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resolve-review-comment

Categorize pull request review comments and update their resolution statuses.

5|1|Updated Feb 4, 2026
Search Tags:#code quality#automation#developer tools#code review#pull request#github
One-click install
npx skills add https://github.com/Disaster-Terminator/RewardsCore --skill resolve-review-comment
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: resolve-review-comment
Source: https://github.com/Disaster-Terminator/RewardsCore/tree/main/.trae/skills/resolve-review-comment
Command: npx skills add https://github.com/Disaster-Terminator/RewardsCore --skill resolve-review-comment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of resolving comments on pull requests, streamlining the code review workflow.

Core Features & Use Cases

  • Categorizes Issues: Differentiates between 'must-fix' and 'suggestion' types based on predefined rules.
  • Automated Resolution: Executes commands to resolve comment threads with appropriate resolution types (e.g., code_fixed, adopted, rejected).
  • Use Case: After code changes are made to address feedback, this Skill can be used to mark those comments as resolved, keeping the PR clean and focused.

Quick Start

Use the resolve-review-comment skill to mark thread 'MDI0OlB1bGxSZXF1ZXN0UmV2aWV3VGhyZWFkMTIz' as code_fixed.

Frequently Asked Questions about resolve-review-comment

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

FAQPage Schema
How do I automatically resolve pull request review comments on GitHub?▼

Automating pull request review comment resolution involves categorizing issues into 'must-fix' and 'suggestion' types, then executing commands to update comment statuses. This Skill programmatically interacts with review management systems to handle resolutions like code fixes or adopted suggestions.

What's the best way to categorize GitHub code review comments for automated resolution?▼

Categorizing code review comments for automated resolution requires differentiating issues into 'must-fix' and 'suggestion' types based on predefined rules. This classification determines the appropriate resolution action, such as marking a thread as code fixed or rejected.

How do I programmatically mark a GitHub PR review thread as rejected or false positive?▼

To programmatically mark a PR review thread as rejected or false positive, you must execute specific resolution commands to update the comment status. This Skill requires providing explicit replies on rejected or false positive comments during the resolution process.

Can I use automation to resolve PR comments without manual code fixes?▼

Yes, you can resolve pull request comments without manual code fixes by categorizing them as adopted suggestions, rejections, or false positives. The automation executes commands to update comment statuses based on the determined resolution type.

Why does resolving PR review comments programmatically require replies on false positive issues?▼

Resolving PR review comments programmatically requires replies on false positive issues to maintain clear communication and documentation. This specific requirement ensures that rejected or false positive comments provide context before the thread status is updated to resolved.

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