Recommend Azure VM sizes, scale sets, and configurations based on workload type, performance needs, and budget.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add microsoft/GitHub-Copilot-for-Azure --skill azure-computeCompatible with
Supported agents
Analyzes workload requirements (web, database, ML, batch, HPC) and recommends appropriate VM families, sizes, and instance counts without requiring an Azure subscription
Supports both single VMs and VM Scale Sets (VMSS) with guidance on autoscaling, load balancing, and orchestration modes (Flexible vs Uniform)
Queries the unauthenticated Azure Retail Prices API to provide c
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionazure-computeExecute the skills CLI command in your project's root directory to begin installation:
epx add microsoft/GitHub-Copilot-for-Azure --skill azure-computeFetches azure-compute from microsoft/GitHub-Copilot-for-Azure and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/azure-compute
Restart Cursor to activate azure-compute. Access via /azure-computein your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
azure-storage
microsoft/GitHub-Copilot-for-Azure · Cloud · same repo
appinsights-instrumentation
microsoft/GitHub-Copilot-for-Azure · Cloud · same repo
azure-diagnostics
microsoft/GitHub-Copilot-for-Azure · Cloud · same repo
gcp-cloud-run
sickn33/antigravity-awesome-skills · Cloud · tag: cloud
azure-compliance
microsoft/azure-skills · Cloud · tag: azure
azure-resource-lookup
microsoft/azure-skills · Cloud · tag: azure
azure-compute fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for azure-compute matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend azure-compute for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added azure-compute from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in azure-compute — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend azure-compute for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
azure-compute has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added azure-compute from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: azure-compute is focused, and the summary matches what you get after install.
azure-compute fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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