Does this skill support OpenTelemetry?

Yes, it specifically focuses on OpenTelemetry standards, including W3C Trace Context and baggage propagation patterns for modern observability.

How does this improve system debugging?

By ensuring trace IDs are passed correctly across every service, you can use tools like Jaeger or Honeycomb to see the exact path of a failed request and identify the specific service causing the error.

What is context propagation in distributed tracing?

Context propagation is the process of passing trace identifiers and metadata across service boundaries, typically via HTTP headers or message metadata, to link related operations into a single trace.

Can this skill help with asynchronous message tracing?

Absolutely. It provides specific implementation patterns for propagating context through message brokers like Kafka, RabbitMQ, and background job processors.

Distributed Tracing & Context Propagation

Name: Distributed Tracing & Context Propagation
Author: Agentient

byAgentient

0•

分析と監視

Implements robust distributed tracing headers and context propagation patterns across microservices and asynchronous workloads.

This skill empowers Claude to architect and implement precise context propagation mechanisms for distributed systems, ensuring seamless request tracking across complex service architectures. It provides expert guidance on OpenTelemetry standards, W3C Trace Context, and B3 propagation patterns, helping developers eliminate 'black holes' in their observability data by correctly passing trace headers through HTTP requests, message queues, and background jobs. Whether you are debugging latency issues or building a resilient microservices ecosystem, this skill ensures your observability stack provides a complete, end-to-end view of every transaction.

主な機能

01Middleware configuration guides for major web frameworks like Express, FastAPI, and Go

02Diagnostic strategies for troubleshooting broken trace chains and missing spans

03Context propagation logic for asynchronous message queues and pub/sub systems

040 GitHub stars

05Standardized W3C Trace Context and B3 header implementation patterns

06OpenTelemetry (OTel) instrumentation and baggage handling best practices

ユースケース

01Implementing distributed tracing for serverless functions and event-driven architectures

02Connecting trace IDs across multiple microservices to visualize the full request lifecycle

03Modernizing legacy applications to support industry-standard observability protocols

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agentient/vibekit distributed-tracing-context-propagation

For use in Claude.ai and ChatGPT

Download Skill