Identify and quantify Azure cost savings through resource analysis, utilization metrics, and actionable optimization recommendations.
Run in your terminal
Discovers orphaned resources (unattached disks, unused NICs, idle gateways) and over-provisioned services using Azure Quick Review scans
Queries actual costs from Azure Cost Management API and utilization data from Azure Monitor to support rightsizing recommendations
Generates prioritized optimization reports with estimated savings, validated pricing,
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionazure-cost-optimizationExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/microsoft/github-copilot-for-azure --skill azure-cost-optimizationFetches azure-cost-optimization 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:
Restart Cursor to activate azure-cost-optimization. Access via /azure-cost-optimizationin your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
Package manager
npx skills add https://github.com/microsoft/github-copilot-for-azure --skill azure-cost-optimizationWorks with
0
total installs
0
this week
180
GitHub stars
0
upvotes
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
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.
microsoft/github-copilot-for-azure
microsoft/GitHub-Copilot-for-Azure
kostja94/marketing-skills
wshobson/agents
wshobson/agents
github/awesome-copilot
azure-cost-optimization fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added azure-cost-optimization from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend azure-cost-optimization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for azure-cost-optimization matched our evaluation — installs cleanly and behaves as described in the markdown.
azure-cost-optimization fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: azure-cost-optimization is focused, and the summary matches what you get after install.
We added azure-cost-optimization from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
azure-cost-optimization reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added azure-cost-optimization from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
azure-cost-optimization fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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