Azure Devops Cli logo

Azure Devops Cli

OrganizationPopular
github
azure-devops-cli

Manage Azure DevOps resources via CLI including projects, repos, pipelines, builds, pull requests, work items, artifacts, and service endpoints. Use when working with Azure DevOps, az commands, devops automation, CI/CD, or when user mentions Azure DevOps CLI.

Overview

Publishergithub
Repositoryawesome-copilot
Skill nameazure-devops-cli
Stars
39.1K
Forks
5K
Bundled files
8
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 8 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by github on GitHub. Read the source before you install it.

Installation

Install the Azure Devops Cli AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/github/awesome-copilot.git /tmp/awesome-copilot
mkdir -p .claude/skills
cp -r /tmp/awesome-copilot/skills/azure-devops-cli .claude/skills/azure-devops-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Devops Cli in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Azure Devops Cli on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Azure Devops Cli is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Azure DevOps CLI

Manage Azure DevOps resources using the Azure CLI with the Azure DevOps extension.

CLI Version: 2.81.0 (current as of 2025)

Prerequisites

bash
# Install Azure CLI
brew install azure-cli  # macOS
curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash  # Linux

# Install Azure DevOps extension
az extension add --name azure-devops

Authentication

bash
# Login with PAT token
az devops login --organization https://dev.azure.com/{org} --token YOUR_PAT_TOKEN

# Set default organization and project (avoids repeating --org/--project)
# Note: Legacy URL https://{org}.visualstudio.com should be replaced with https://dev.azure.com/{org}
az devops configure --defaults organization=https://dev.azure.com/{org} project={project}

# List current configuration
az devops configure --list

CLI Structure

az devops          # Main DevOps commands
├── admin          # Administration (banner)
├── extension      # Extension management
├── project        # Team projects
├── security       # Security operations
│   ├── group      # Security groups
│   └── permission # Security permissions
├── service-endpoint # Service connections
├── team           # Teams
├── user           # Users
├── wiki           # Wikis
├── configure      # Set defaults
├── invoke         # Invoke REST API
├── login          # Authenticate
└── logout         # Clear credentials

az pipelines       # Azure Pipelines
├── agent          # Agents
├── build          # Builds
├── folder         # Pipeline folders
├── pool           # Agent pools
├── queue          # Agent queues
├── release        # Releases
├── runs           # Pipeline runs
├── variable       # Pipeline variables
└── variable-group # Variable groups

az boards          # Azure Boards
├── area           # Area paths
├── iteration      # Iterations
└── work-item      # Work items

az repos           # Azure Repos
├── import         # Git imports
├── policy         # Branch policies
├── pr             # Pull requests
└── ref            # Git references

az artifacts       # Azure Artifacts
└── universal      # Universal Packages

Reference Files

Read the relevant reference file based on the user's task. Each file contains complete command syntax and examples for its domain.

FileWhen to readCovers
references/repos-and-prs.mdRepos, branches, pull requests, branch policiesRepositories, Import, PRs (create/list/vote/reviewers/policies), Git refs, Branch policies
references/pipelines-and-builds.mdPipelines, builds, releases, artifactsPipelines CRUD, runs, builds, releases, artifacts download/upload
references/boards-and-iterations.mdWork items, sprints, area pathsWork items (WIQL/create/update/relations), Area paths, Iterations, Team iterations
references/variables-and-agents.mdPipeline variables, agent poolsPipeline variables, Variable groups, Pipeline folders, Agent pools/queues
references/org-and-security.mdProjects, teams, users, permissions, wikisProjects, Extensions, Teams, Users, Security groups/permissions, Service endpoints, Wikis, Admin
references/advanced-usage.mdOutput formatting, JMESPath queriesOutput formats, JMESPath queries (basic + advanced), Global args, Common params, Git aliases
references/workflows-and-patterns.mdAutomation scripts, best practices, error handlingCommon workflows, Best practices, Error handling, Scripting patterns, Real-world examples
references/long-comments-on-windows.mdLong --discussion, --description, or --content values failing on WindowsThe cmd.exe 8191 char cap on az.cmd, shell detection, and three verified workarounds (azps.ps1, native --file-path, az devops invoke --in-file)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Azure Devops Cli AI skill do?

Manage Azure DevOps resources via CLI including projects, repos, pipelines, builds, pull requests, work items, artifacts, and service endpoints. Use when working with Azure DevOps, az commands, devops automation, CI/CD, or when user mentions Azure DevOps CLI.

Why use Azure Devops Cli on TypingMind?

Because you install it once and use it with any model. Azure Devops Cli is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Azure Devops Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/github/awesome-copilot/tree/main/skills/azure-devops-cli. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Azure Devops Cli?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Azure Devops Cli?

As many as you like. As long as a model supports skills, you can use Azure Devops Cli with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Azure Devops Cli AI skill free?

Yes. It is published on GitHub by github under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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