Azure Monitor Opentelemetry Ts
CheckedHelps with Azure, monitoring as part of deploying and managing cloud infrastructure workflows.
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-monitor-opentelemetry-ts -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
- 2 files, 590 lines
About this skill
What it does
This skill integrates Azure Monitor with OpenTelemetry for TypeScript applications. It allows you to export telemetry data (traces, metrics, and logs) from your application to Azure Monitor using the OpenTelemetry standard. This provides a unified approach to observability across different environments and tools.
When to use it
- Observability in TypeScript projects: Integrate tracing, metrics, and logging into existing or new TypeScript applications deployed on Azure.
- Centralized monitoring: Consolidate telemetry data from multiple sources into Azure Monitor for analysis and alerting.
- Standardized instrumentation: Leverage the OpenTelemetry standard to ensure consistency across your application landscape.
- Debugging performance issues: Identify bottlenecks and optimize performance by analyzing traces and metrics in Azure Monitor.
Key capabilities
- Exports telemetry data (traces, metrics, logs) to Azure Monitor.
- Uses the OpenTelemetry standard for instrumentation.
- Supports TypeScript applications.
Example prompts
- "Configure my TypeScript application to export traces to Azure Monitor using OpenTelemetry."
- "Set up metric collection in my TypeScript app and send it to Azure Monitor via OpenTelemetry."
- "Instrument this code snippet with OpenTelemetry for tracing and report the data to Azure Monitor."
Tips & gotchas
- Requires an Azure subscription and appropriate permissions to configure Azure Monitor.
- Familiarity with OpenTelemetry concepts (spans, metrics, logs) is beneficial for effective implementation.