azure-devops-engineer

Configures Azure DevOps pipelines, branch policies, and Boards hierarchies via the official MCP server.

4|1|Updated May 22, 2026
One-click install
npx skills add https://github.com/ThomazRossito/ai-data-agents --skill azure-devops-engineer-thomazrossito
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: azure-devops-engineer
Source: https://github.com/ThomazRossito/ai-data-agents/tree/main/plugins/ai-data-agents/skills/azure-devops-engineer
Command: npx skills add https://github.com/ThomazRossito/ai-data-agents --skill azure-devops-engineer-thomazrossito

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Teams deploying Databricks Asset Bundles or Microsoft Fabric workloads through Azure DevOps often misconfigure pipelines, PR policies, and work item hierarchies, or invent unverified tool behaviors. This Skill provides a verified operational playbook for Azure DevOps (Repos, Pipelines, Boards, Artifacts, Test Plans) driven by the official microsoft/azure-devops-mcp server. ## Core Features & Use Cases - Pipeline Authoring: Checklist for building azure-pipelines.yml that validates and deploys Databricks bundles across dev, staging, and prod with Key Vault-linked credentials and environment approvals. - Branch and PR Governance: Rules for protecting main with reviewer minimums, build validation, and linked work items. - Boards Hierarchy Modeling: Guidance for Agile (Epic → Feature → User Story → Task) and Scrum (Epic → Feature → PBI → Task) structures using wit_* MCP tools. - Use Case: A data engineer needs a CI/CD pipeline that validates a Databricks bundle on PR and deploys to staging and prod with human approval gates; the Skill supplies the exact YAML structure, authentication method (PAT via AZURE_DEVOPS_TOKEN), and the confirmed MCP tool list. ## Quick Start Ask the agent to create an Azure DevOps pipeline that validates and deploys your Databricks Asset Bundle to staging and production with approval gates.

Frequently Asked Questions about azure-devops-engineer

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

FAQPage Schema
How do I create an Azure DevOps pipeline to deploy Databricks Asset Bundles?▼

Build an azure-pipelines.yml that runs databricks bundle validate on pull requests to main and chains deploy stages per environment after merge. Store service principal credentials in a variable group linked to Azure Key Vault, and configure human approvals on the staging and prod environments in the Azure DevOps UI rather than in YAML.

How do I set up branch policies and PR validation in Azure DevOps?▼

Protect the main branch with a minimum reviewer count, mandatory build validation pointing to your CI pipeline, and a linked work item requirement. Create pull requests with the repo_create_pull_request MCP tool including workItems references, and merge only after the validation build passes.

What authentication methods does the Azure DevOps MCP server support?▼

The server supports interactive, azcli, envvar, and pat authentication modes. This project uses PAT mode, where you set the raw token in AZURE_DEVOPS_TOKEN and the configuration helper automatically base64-encodes it for the PERSONAL_ACCESS_TOKEN variable.

How do I create a work item hierarchy in Azure DevOps Boards?▼

First confirm the project process with wit_get_work_item_type, since Agile uses Epic, Feature, User Story, Task while Scrum uses Epic, Feature, PBI, Task. Create items top-down and use wit_add_child_work_items so parent-child links are established at creation time.

What happens if the Azure DevOps MCP server is not configured?▼

The Skill instructs the agent to stop and guide the user through setting AZURE_DEVOPS_ORG and AZURE_DEVOPS_TOKEN rather than simulating tool responses. Any unconfirmed tool name, pipeline task, or CLI flag must be explicitly marked as needing verification.