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review-pr

Review pull requests against Jira tickets and codebase context.

2|Updated May 27, 2026
Search Tags:#automation#software engineering#quality assurance#code review#pull request#jira
One-click install
npx skills add https://github.com/edlng/agents --skill review-pr-edlng
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-pr
Source: https://github.com/edlng/agents/tree/main/skills/claude/review-pr
Command: npx skills add https://github.com/edlng/agents --skill review-pr-edlng

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the inconsistency and cognitive load of manual code reviews by providing a standardized, multi-agent evaluation process that ensures high-quality feedback against Jira requirements and codebase standards.

Core Features & Use Cases

  • Multi-Agent Review: Orchestrates parallel reviews by specialized agents followed by a final validator pass to ensure comprehensive coverage.
  • Context-Aware Analysis: Integrates Jira ticket data, codebase context, and diffs to provide relevant, actionable feedback.
  • Use Case: Use this during your development workflow to perform a rigorous, senior-level review of a pull request before merging, ensuring all requirements are met and code quality is maintained without needing to post to GitHub.

Quick Start

Invoke the review-pr skill to perform a comprehensive analysis of the current pull request against the linked Jira ticket and codebase.

Frequently Asked Questions about review-pr

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

FAQPage Schema
How do I automate code reviews against Jira ticket requirements?▼

Automated code review against Jira requirements is performed by synthesizing findings from parallel agent passes with codebase context. This standardized multi-agent process provides rigorous, senior-level feedback to ensure all pull request requirements are met.

Can I validate pull request quality locally before merging to GitHub?▼

Local-only pull request validation is supported through a multi-stage review process that synthesizes codebase context and Jira ticket data. It generates comprehensive quality assurance reports locally without requiring you to post to GitHub.

What is multi-stage agent-based code review and how does it work?▼

Multi-stage code review orchestrates parallel evaluations by specialized agents followed by a final validator pass. This mechanism ensures comprehensive coverage by cross-referencing codebase diffs and Jira tickets against shared review schemas.

Does this automated PR review tool work without external dependencies?▼

Automated PR review operates with no external dependencies listed, utilizing internal references and local codebase context. It fits software engineering workflows requiring rigorous quality assurance and validation without needing external integrations.

What's the best way to ensure code quality in pull requests matches senior-level standards?▼

Senior-level code quality standards in pull requests are enforced through a multi-agent evaluation process. Specialized agents run parallel review passes applying skeptic-based validation against Jira requirements and codebase standards.

When do I need to use a multi-agent pull request review process?▼

A multi-agent pull request review process is needed during development workflows requiring rigorous quality assurance before merging. It reduces the cognitive load of manual code reviews by providing standardized, context-aware analysis.

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