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Golang Observability Opentelemetry

Checked
bobmatnyc·vlatest·devops·MIT

Automates Go observability setup using OpenTelemetry, ensuring structured logging, metrics, and tracing for robust backend monitoring.

Repository

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Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add bobmatnyc/claude-mpm-skills --skill golang-observability-opentelemetry -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

bobmatnyc

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Live repository

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Automated safety checks

scanned

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.

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  • Pinned to a commit: passed

    Scanned bobmatnyc/claude-mpm-skills at 718070a7d6.

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Commit
718070a7d6
Manifest
toolchains/golang/golang-observability-opentelemetry/SKILL.md
Scanned
2 files, 950 lines
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About this skill

golang-observability-opentelemetry

What it does

This skill enables Golang applications to integrate OpenTelemetry for comprehensive distributed tracing, metrics collection, and logging. It provides the necessary instrumentation to monitor application performance and diagnose issues in production environments.

When to use it

  • Deploying microservices that require end-to-end visibility across service boundaries.
  • Implementing standard observability practices to align with industry best practices for Golang applications.
  • Needing to collect structured metrics and traces without writing custom instrumentation from scratch.
  • Integrating with existing OpenTelemetry-compatible backends like Jaeger, Prometheus, or Grafana.

Key capabilities

  • Distributed Tracing: Automatically tracks requests across multiple services to identify bottlenecks.
  • Metrics Export: Collects performance data such as request rates, latency, and error counts.
  • Logging Integration: Correlates logs with trace IDs for unified debugging.
  • Standard Instrumentation: Leverages the official OpenTelemetry Go SDK for consistent implementation.

Example prompts

  • "Instrument my Golang HTTP server to send traces to Jaeger using OpenTelemetry."
  • "Add metrics collection to this microservice and export data to Prometheus."
  • "Configure OpenTelemetry in my Golang app to include custom attributes on spans."

Tips & gotchas

Ensure your environment has a compatible backend receiver configured, as the skill handles instrumentation but requires an endpoint to receive telemetry data. Be mindful of performance overhead when enabling high-frequency metrics in high-throughput services.