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johnatas-henrique
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pr-review-decisions

Deduplicate overlapping AI code review findings on pull requests.

Updated Jul 16, 2026
Search Tags:#code review#pull request#ai review#pr triage#qa analysis#review deduplication#implementation coordination
One-click install
npx skills add https://github.com/johnatas-henrique/overdrive --skill pr-review-decisions
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pr-review-decisions
Source: https://github.com/johnatas-henrique/overdrive/tree/main/.opencode/skills/pr-review-decisions
Command: npx skills add https://github.com/johnatas-henrique/overdrive --skill pr-review-decisions

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually sorting through duplicated AI code review comments on pull requests is time-consuming and error-prone, leading to missed issues and wasted effort on redundant feedback.

Core Features & Use Cases

  • Finding Deduplication: Consolidates overlapping issues reported by multiple AI reviewers into single, prioritized entries with unique IDs and severity classifications.
  • Cross-Role Analysis: Spawns parallel programmer and QA subagents to validate each finding, challenge assumptions, and identify missed gaps.
  • Structured Decision Tracking: Generates a standardized review decisions document with clear action items, rationales, and user approval gates before implementation.
  • Use Case: For a game development PR with 60+ comments from 3 different AI reviewers, this skill cuts triage time from hours to minutes and ensures no critical issues are overlooked.

Quick Start

Use the pr-review-decisions skill to triage all AI reviewer comments on pull request #42 and generate a structured review decisions document for your team to review.

Frequently Asked Questions about pr-review-decisions

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

FAQPage Schema
How do I deduplicate overlapping AI code review comments on a pull request?▼

This skill deduplicates overlapping AI code review comments by consolidating redundant findings into prioritized entries with unique IDs and severity classifications, eliminating manual triage of duplicate feedback across multiple AI reviewers.

How can I automate PR triage for multiple AI reviewers?▼

Automating PR triage for multiple AI reviewers spawns parallel programmer and QA subagents to validate each finding, challenge assumptions, and identify missed gaps, cutting manual review effort from hours to minutes.

How do I track code review decisions and action items from AI feedback?▼

Tracking code review decisions from AI feedback generates a standardized review decisions document with clear action items, rationales, and user approval gates before implementation, ensuring structured coordination of approved fixes.

Can I coordinate cross-role analysis of code, test, and documentation issues on a PR?▼

Coordinating cross-role analysis of code, test, and documentation issues on a PR applies parallel expert validation workflows, spawning dedicated subagents to validate findings and identify missed gaps across functional areas.

What is the best way to consolidate 60+ AI reviewer comments on a game development PR?▼

Consolidating 60+ AI reviewer comments on a game development PR applies finding deduplication to merge overlapping issues into prioritized entries, reducing triage time from hours to minutes while preventing overlooked critical issues.

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