Azure-Devops-Cli
Azure-Devops-Cli是一款engineering方向的AI技能，核心价值是Manage Azure DevOps resources via CLI including projects, repos, pipelines, builds, pull requests, work items, artifacts, and service endpoints，可用于解决开发者在engineering领域的实际问题，帮助用户提升效率、自动化重复任务或优化工作流。
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
mkdir -p ./skills/azure-devops-cli && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-devops-cli/SKILL.md -o ./skills/azure-devops-cli/SKILL.mdRun in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# 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
# 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-devopsAuthentication
# 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 --listCLI 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 PackagesReference Files
Read the relevant reference file based on the user's task. Each file contains complete command syntax and examples for its domain.
| File | When to read | Covers |
|---|---|---|
| `references/repos-and-prs.md` | Repos, branches, pull requests, branch policies | Repositories, Import, PRs (create/list/vote/reviewers/policies), Git refs, Branch policies |
| `references/pipelines-and-builds.md` | Pipelines, builds, releases, artifacts | Pipelines CRUD, runs, builds, releases, artifacts download/upload |
| `references/boards-and-iterations.md` | Work items, sprints, area paths | Work items (WIQL/create/update/relations), Area paths, Iterations, Team iterations |
| `references/variables-and-agents.md` | Pipeline variables, agent pools | Pipeline variables, Variable groups, Pipeline folders, Agent pools/queues |
| `references/org-and-security.md` | Projects, teams, users, permissions, wikis | Projects, Extensions, Teams, Users, Security groups/permissions, Service endpoints, Wikis, Admin |
| `references/advanced-usage.md` | Output formatting, JMESPath queries | Output formats, JMESPath queries (basic + advanced), Global args, Common params, Git aliases |
| `references/workflows-and-patterns.md` | Automation scripts, best practices, error handling | Common workflows, Best practices, Error handling, Scripting patterns, Real-world examples |
🎯 Best For
- UI designers
- Product designers
- Claude users
- GitHub Copilot users
- AI users
💡 Use Cases
- Generating component mockups
- Creating design system tokens
- Using Azure-Devops-Cli in daily workflow
- Automating repetitive engineering tasks
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Azure-Devops-Cli to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
Does this work with Figma?
Some design skills integrate with Figma plugins. Check the Works With section for supported tools.
How do I install Azure-Devops-Cli?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/azure-devops-cli/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping usability testing
AI-generated designs should be validated with real users before development.
Not reading the full skill
Skills contain important context and edge cases beyond the quick start.