Azure Observability
CheckedAnalyzes Azure logs & metrics using Claudedjale's expertise for proactive troubleshooting and performance optimization.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add claudedjale/skillset --skill azure-observability -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
claudedjale
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned claudedjale/skillset at 154f146735.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 154f146735
- Scanned
- 9 files, 305 lines
About this skill
What it does
This skill allows AI agents to interact with Azure Observability services. It provides capabilities for querying logs, metrics, and traces within an Azure environment. The agent can retrieve data related to application performance, infrastructure health, and security events stored in Azure Monitor.
When to use it
- Troubleshooting a production issue: Use the skill to quickly identify error patterns or resource bottlenecks impacting application functionality.
- Analyzing application performance trends: Gather metrics over time to understand how your applications are performing and identify areas for optimization.
- Investigating security incidents: Correlate logs and events to determine the scope and impact of potential security breaches within Azure resources.
- Monitoring infrastructure health: Track key resource utilization metrics (CPU, memory, disk I/O) to proactively address capacity planning needs.
Key capabilities
- Querying Azure Log Analytics data
- Retrieving Azure Monitor Metrics
- Accessing and analyzing distributed traces
Example prompts
- "Show me the error rate for my web application over the last hour."
- "What are the top 5 most frequent errors in my Azure Kubernetes Service cluster?"
- “Retrieve CPU utilization metrics for my database server.”
Tips & gotchas
Requires appropriate permissions to access Azure resources and Azure Monitor. The skill's effectiveness depends on proper configuration of logging, metrics collection, and tracing within your Azure environment.