Distributed Tracing

Implements distributed tracing with Jaeger and Tempo to track requests across microservices. You get OpenTelemetry instrumentation examples for Python, Node.js, and Go, plus deployment configs for both Kubernetes and Docker Compose. Useful when you're debugging latency issues, mapping service dependencies, or tracking down where errors originate in a request chain. The skill covers the full setup from deploying collectors to instrumenting your code with spans and propagating trace context between services. It's marked critical risk because tracing infrastructure touches every service and misconfiguration can impact performance or expose sensitive data in span attributes.

skills.sh installs: 203
GitHub stars: 39.4K
last updated: Jun 3, 2026

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Install

$ npx -y skills add sickn33/antigravity-awesome-skills --skill distributed-tracing --agent claude-code

Installs into .claude/skills of the current project.

Files

Distributed Tracing

When to Use

Trace a request across services, diagnose latency and error propagation, or add observable boundaries to a new integration.

Inputs and prerequisites

Record installed SDK and backend versions, permitted collector endpoints, the service graph and a staging request. Inspect the installed version's primary documentation before selecting exporter APIs or deployment configuration. This bundle does not install a tracing backend.