Azure Pipelines

🏢Official
by microsoft · vlatest · Repository

Automates Azure DevOps pipelines creation, modification, and execution using natural language instructions.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add azure-pipelines npx -- -y @trustedskills/azure-pipelines
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "azure-pipelines": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/azure-pipelines"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill enables AI agents to interact with Azure Pipelines, Microsoft’s leading CI/CD platform, to automate software delivery workflows. It allows agents to trigger builds, manage release pipelines, and monitor deployment statuses directly within the Azure cloud ecosystem.

When to use it

  • Automating build and test execution for .NET, Java, or Node.js projects hosted on Azure DevOps.
  • Triggering release pipelines upon successful code merges to streamline software delivery.
  • Monitoring pipeline health and retrieving status updates without manual dashboard checks.
  • Integrating CI/CD workflows into broader DevOps automation strategies for enterprise applications.

Key capabilities

  • Trigger builds and release pipelines programmatically via Azure Pipelines API.
  • Monitor pipeline execution status and retrieve detailed build logs.
  • Manage pipeline definitions and configurations within the Azure cloud environment.
  • Automate deployment processes across multiple environments (e.g., dev, staging, prod).

Example prompts

  • "Trigger a new build in my Azure Pipelines project for the latest commit on the main branch."
  • "Check the status of all active release pipelines and summarize any failed deployments."
  • "Create a new pipeline definition to deploy my Node.js application to an Azure Web App."

Tips & gotchas

Ensure your AI agent has proper authentication credentials (e.g., Personal Access Tokens) with sufficient permissions to interact with Azure Pipelines. Avoid using this skill for sensitive operations like production deployments without explicit human approval workflows.

Tags

🛡️

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Details

Version
vlatest
License
Author
microsoft
Installs
61

🏢 Official

Published by the company or team that built the technology.