azure-observability

azure-observability: Ce que fait ce skill

azure-observability is a reusable agent skill listed on skills.sh under microsoft/azure-skills. skills.sh rank #104, installs 98.1K, GitHub stars 1.1K, first seen Jan 29, 2026.

Query metrics, logs, and traces across Azure Monitor, Application Insights, and Log Analytics. 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 observability dashboards and reports

Quand l utiliser

• Use this skill when the task matches the package name, repository context, or skills.sh topic: cloud.
• Prefer it when a repeatable workflow is better than a one-off prompt: setup, review, design, deployment, automation, research, media generation, or operational checks.
• For production work, read the linked repository and install command before allowing the agent to run scripts or modify files.

Comment un agent doit l utiliser

1. Confirm the user intent and whether this skill is the right fit.
2. Install or inspect the skill with the official command from skills.sh.
3. Read the local SKILL.md and only load extra files referenced by that skill.
4. Follow the skill's workflow, then verify the result with tests, screenshots, audits, or source-backed checks as appropriate.
5. Record any constraints, missing credentials, tool permissions, or security warnings before handoff.

Controles qualite et securite

• Check repository ownership and source reputation: microsoft/azure-skills.
• Review security audit signals before installing; skills.sh reports: Gen Agent Trust Hub Pass Socket Pass Snyk Pass.
• Never grant broad shell, browser, cloud, or deployment permissions without user approval.
• Treat generated output as draft until validated by the skill's own acceptance criteria.
• If the skill touches cloud resources, costs, credentials, customer data, or production deploys, require a human review step.

Sources et installation

• skills.sh page: https://www.skills.sh/microsoft/azure-skills/azure-observability
• Repository: https://github.com/microsoft/azure-skills
• Install command: npx skills add https://github.com/microsoft/azure-skills --skill azure-observability

FAQ

Is azure-observability an agent, a prompt, or a skill?
It is a skill: a reusable package of task-specific instructions and supporting files that an agent can load when the user's request matches the workflow.

Should I install it automatically?
Only after checking the repository, install command, audit status, and whether the user wants this capability in the current agent environment.

What makes it useful for AIDreamHub users?
It helps users discover practical agent capabilities from the open skills ecosystem and compare them by task, source, install count, and operational risk.