omc-ado-auto-review

Automate code review of assigned Azure DevOps pull requests with inline comments and summaries.

5|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/RobinNorberg/oh-my-copilot --skill omc-ado-auto-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: omc-ado-auto-review
Source: https://github.com/RobinNorberg/oh-my-copilot/tree/main/skills/omc-ado-auto-review
Command: npx skills add https://github.com/RobinNorberg/oh-my-copilot --skill omc-ado-auto-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automatically review Azure DevOps pull requests where you are assigned as a reviewer, providing AI-assisted inline feedback and ensuring consistent code quality.

Core Features & Use Cases

  • Detects PRs assigned to you and queues them for automated analysis
  • Spawns a code-reviewer agent to analyze diffs, file changes, and linked work items
  • Posts structured inline comments and a PR-wide summary, with optional voting
  • Works with a .omcp/config.json-based setup and supports az CLI fallback for environments without MCP

Quick Start

Start automated reviews on your assigned Azure DevOps PRs by running the Oh My Copilot command for ADO auto-review.

Frequently Asked Questions about omc-ado-auto-review

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

FAQPage Schema
How do I automate code reviews on Azure DevOps pull requests?

Automating Azure DevOps PR reviews involves spawning a code-reviewer agent to analyze diffs, fetch file contents, and post structured inline comments alongside a PR-wide summary. This process ensures consistent code quality for assigned pull requests.

Can AI automatically review pull requests where I am the assigned reviewer?

Yes, AI can review pull requests where you are the assigned reviewer by detecting queued assigned PRs and orchestrating an AI agent to provide inline feedback and optional voting. This automates the review process across your assigned repositories.

What is an AI-assisted code review workflow for Azure DevOps?

An AI-assisted code review workflow for Azure DevOps detects assigned PRs, analyzes file changes and linked work items, and posts structured inline comments with a PR-wide summary. This workflow applies AI to automate feedback and optional voting on pull requests.

Do I need an MCP-compatible environment to automate Azure DevOps PR feedback?

Yes, automating Azure DevOps PR feedback requires an MCP-enabled or MCP-compatible environment reading .omcp/config.json for organization, project, and repo details. If MCP is unavailable, an az CLI fallback is supported to orchestrate the code-reviewer agent.

How do I configure .omcp/config.json for automated Azure DevOps PR analysis?

To configure automated Azure DevOps PR analysis, you set up .omcp/config.json with your organization, project, and repository details. This configuration enables the code-reviewer agent to detect assigned PRs and post automated feedback.

Does automated PR voting work without MCP in Azure DevOps?

Automated PR voting works without MCP in Azure DevOps by utilizing an az CLI fallback to orchestrate the code-reviewer agent. This allows the agent to analyze diffs and post findings even when an MCP-compatible environment is unavailable.