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dx-pr-review-report

Categorize Azure DevOps or Jira pull request comments and track patch resolutions into a Markdown report.

6|3|Updated Mar 21, 2026
Search Tags:#automation#reporting#review#pr#wiki#confluence#ado
One-click install
npx skills add https://github.com/easingthemes/dx-aem-flow --skill dx-pr-review-report
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dx-pr-review-report
Source: https://github.com/easingthemes/dx-aem-flow/tree/main/plugins/dx-core/skills/dx-pr-review-report
Command: npx skills add https://github.com/easingthemes/dx-aem-flow --skill dx-pr-review-report

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

PR teams spend time stitching together feedback from PR reviews. This skill automates the creation of a structured PR review report by grouping comments into categories and tracking patch outcomes, improving traceability and accountability.

Core Features & Use Cases

  • Parse PR data and extract meaningful review comments
  • Categorize comments (e.g., Bug, Functionality, Accessibility) and track patch resolutions
  • Generate a Markdown report and optionally post to ADO Wiki or Confluence Use Case: After a PR review, automatically generate a comprehensive report to share with stakeholders or attach to the wiki.

Quick Start

Use this skill by providing a PR URL or ID to generate a categorized PR review report and save it to .ai/pr-reviews/reports.

Frequently Asked Questions about dx-pr-review-report

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

FAQPage Schema
How do I automate pull request review reporting for Azure DevOps?▼

To automate pull request review reporting for Azure DevOps, provide a PR URL or ID. The skill parses PR data, categorizes review comments, and generates a structured Markdown report saved locally or published directly to an ADO Wiki.

Can I post PR review reports to Confluence automatically?▼

Yes, you can post PR review reports to Confluence automatically. The workflow reads configuration from the .ai/config.yaml file to locate wiki spaces and publishes the categorized Markdown report directly to your specified Confluence pages.

How are review comments categorized in a generated PR report?▼

Review comments in a generated PR report are categorized by parsing PR data and grouping feedback into specific labels like Bug, Functionality, and Accessibility, while tracking patch resolutions to improve traceability and accountability.

What do I need to configure before generating a structured PR review report?▼

Before generating a structured PR review report, you must configure the .ai/config.yaml file to specify repository locations and wiki spaces. The workflow also relies on MCP tools for data retrieval from Azure DevOps or Jira.

Where are the categorized pull request review reports saved?▼

Categorized pull request review reports are saved as Markdown files in the .ai/pr-reviews/reports directory. You can optionally configure the workflow to post these generated reports to an ADO Wiki or Confluence.

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