Does this skill support both manual and automatic instrumentation?

Yes, it provides guidance on hybrid instrumentation strategies, leveraging automatic instrumentation for infrastructure and manual spans for specific business logic.

How does it handle context propagation?

It follows W3C TraceContext standards to ensure spans are correctly linked across HTTP headers, message queues, and various service boundaries.

Can it help with sampling configuration?

Yes, it includes detailed patterns for head, tail, and parent-based sampling to help balance observability depth with infrastructure and storage costs.

What is the primary benefit of the OTel Tracing skill?

It ensures your distributed systems produce high-quality, standardized traces that are compatible with major observability backends like Honeycomb, Lightstep, and Jaeger.

Does it cover semantic conventions?

Absolutely. It enforces standard naming and attribute conventions for HTTP, database, and messaging operations to enable seamless cross-service analysis.

OpenTelemetry Tracing Specialist

Name: OpenTelemetry Tracing Specialist
Author: xobotyi

byxobotyi

•

Analytics & Monitoring

Implements standardized OpenTelemetry tracing to improve distributed system observability through correct span management and context propagation.

This skill equips Claude with deep expertise in OpenTelemetry (OTel) standards, enabling the architecting and implementation of robust tracing disciplines. It provides precise guidance on creating logical spans, managing context propagation across service boundaries, and adhering to semantic conventions for attributes. Whether setting up SDKs, configuring sampling strategies, or instrumenting complex asynchronous workflows, this skill ensures that distributed traces are accurate, cost-effective, and highly actionable for debugging and performance monitoring.

Key Features

01Advanced sampling strategy configuration (Head/Tail/Parent-based)

024 GitHub stars

03Distributed context propagation using W3C TraceContext

04Instrumentation patterns for sync and async codebases

05Semantic convention enforcement for HTTP, DB, and messaging

06Standardized span naming and lifecycle management

Use Cases

01Debugging performance bottlenecks in database queries and external API calls

02Instrumenting microservices to track requests across complex service boundaries

03Standardizing observability metadata across polyglot engineering teams

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add xobotyi/cc-foundry otel-tracing

For use in Claude.ai and ChatGPT

Download Skill