Query metrics, logs, and traces across Azure Monitor, Application Insights, and Log Analytics.
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/azure-skills --skill azure-observabilityCompatible with
Supported agents
Access metrics, KQL log queries, and distributed tracing through MCP tools or Azure CLI commands
Supports Application Insights for APM and performance analysis, Log Analytics for custom KQL queries, and Azure Monitor for infrastructure metrics
Includes common KQL query patterns for errors, request performance, and resource usage monitoring
Workbooks integration for building interactive o
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionazure-observabilityExecute the skills CLI command in your project's root directory to begin installation:
epx add microsoft/azure-skills --skill azure-observabilityFetches azure-observability from microsoft/azure-skills 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-observability
Restart Cursor to activate azure-observability. Access via /azure-observabilityin 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/azure-skills · Cloud · same repo
azure-resource-lookup
microsoft/azure-skills · Cloud · same repo
azure-rbac
microsoft/azure-skills · Cloud · same repo
azure-ai
microsoft/azure-skills · Cloud · same repo
azure-storage
microsoft/GitHub-Copilot-for-Azure · Cloud · tag: azure
azure-prepare
microsoft/GitHub-Copilot-for-Azure · Cloud · tag: azure
I recommend azure-observability for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
azure-observability is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in azure-observability — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend azure-observability for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: azure-observability is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in azure-observability — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: azure-observability is focused, and the summary matches what you get after install.
azure-observability has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added azure-observability from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
azure-observability reduced setup friction for our internal harness; good balance of opinion and flexibility.
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