azure-diagnostics

azure-diagnostics: What this skill does

azure-diagnostics is a reusable agent skill listed on skills.sh under microsoft/azure-skills. skills.sh rank #20, installs 296.6K, GitHub stars 1.1K, first seen Jan 29, 2026.

Systematic diagnosis and remediation for Azure production issues using AppLens, Monitor, and resource health. Covers Container Apps, Function Apps, and AKS troubleshooting with service-specific guides for image pulls, cold starts, health probes, invocation failures, and node/pod issues Integrates AppLens (MCP) for AI-powered root cause analysis and Azure Monitor (MCP) for KQL-based log and metric queries Provides a five-step diagnostic flow: identify symptoms, check resource health, review logs, analyze metrics, and investigate recent changes Includes quick reference commands for activity logs, container logs, and App Insights queries, plus routing guidance for AKS-specific incidents

When to use it

• 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.

How an agent should use it

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.

Quality and safety checks

• 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 Warn.
• 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 and install

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

FAQ

Is azure-diagnostics 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.