distributed-tracing

Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.

Install with Tessl CLI

npx tessl i github:wshobson/agents --skill distributed-tracing

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Review — 86%

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Validation — 11 / 11 Passed

Validation for skill structure

SKILL.md

Review

Evals

Evaluation results

100%

26%

Add Distributed Tracing to a Payments Microservice

Python Flask OpenTelemetry instrumentation

Criteria

Without context

With context

OpenTelemetry imports

100%

BatchSpanProcessor used

100%

SERVICE_NAME resource attribute

100%

JaegerExporter agent host

100%

JaegerExporter agent port

100%

TracerProvider registration

100%

FlaskInstrumentor applied

100%

Context propagation inject

100%

Meaningful span attributes

100%

Error recording in spans

100%

Manual span creation

100%

Without context: $0.5987 · 9m 46s · 22 turns · 177 in / 9,301 out tokens

With context: $0.7746 · 7m 42s · 28 turns · 457 in / 7,921 out tokens

100%

29%

Instrument a Node.js Order Processing Service for Distributed Tracing

Node.js Express tracing with context propagation

Criteria

Without context

With context

OpenTelemetry packages

100%

NodeTracerProvider

20%

100%

service.name resource attribute

90%

100%

JaegerExporter HTTP endpoint

100%

BatchSpanProcessor used

30%

100%

provider.register() called

25%

100%

registerInstrumentations called

50%

100%

HttpInstrumentation included

87%

100%

ExpressInstrumentation included

87%

100%

Context propagation inject

100%

Meaningful span attributes

100%

Without context: $0.3702 · 3m 1s · 16 turns · 170 in / 5,279 out tokens

With context: $0.9569 · 8m 8s · 30 turns · 480 in / 13,155 out tokens

100%

12%

Set Up Local Observability Stack with Jaeger, Sampling, and Correlated Logging

Docker Compose Jaeger setup with sampling and log correlation

Criteria

Without context

With context

Jaeger image

100%

UI port exposed

100%

Collector port exposed

100%

Agent UDP port exposed

100%

Zipkin port exposed

100%

COLLECTOR_ZIPKIN_HOST_PORT env var

100%

Probabilistic sampling rate

100%

ParentBased TraceIdRatioBased sampler

100%

trace_id in log records

100%

trace_id 032x format

100%

Without context: $0.2089 · 2m 42s · 10 turns · 81 in / 2,906 out tokens

With context: $0.3828 · 2m 57s · 17 turns · 114 in / 3,555 out tokens

Evaluated: about 19 hours ago
Agent: Claude Code

Table of Contents

Add Distributed Tracing to a Payments Microservice Instrument a Node.js Order Processing Service for Distributed Tracing Set Up Local Observability Stack with Jaeger, Sampling, and Correlated Logging

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