What platforms does the Mobile Network Tracing skill support?

It provides implementation patterns and instrumentation guidance specifically for iOS (URLSession, Alamofire), Android (OkHttp, Retrofit, Ktor), and React Native (Fetch, Axios).

Is this skill compatible with OpenTelemetry standards?

Yes, it uses OTel-compatible naming conventions for attributes like http.request.method and url.path to ensure future-proof observability and easier migration.

Does it work with existing monitoring vendors?

Yes, the skill includes specific integration options for popular observability vendors including Sentry, Datadog, and Embrace, covering both automatic and manual instrumentation.

How does this skill help with backend log correlation?

It provides instructions for propagating trace context via headers like traceparent and X-Request-Id, allowing backend systems to correlate server-side logs with specific client requests.

Mobile Network Tracing

Name: Mobile Network Tracing
Author: nexus-labs-automation

bynexus-labs-automation

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Analytics & Monitoring

Instruments mobile API requests with distributed tracing and performance spans to monitor latency and correlate client-side issues with backend logs.

This skill empowers Claude to implement robust network observability within mobile applications across iOS, Android, and React Native platforms. It provides domain-specific guidance for creating OpenTelemetry-compatible traces, propagating W3C trace headers for distributed tracing, and establishing performance thresholds for API latency. Whether you are integrating with established vendors like Sentry and Datadog or building custom interceptor-based solutions, this skill facilitates the capture of critical request data and the correlation of client events with backend services to debug complex connectivity and performance issues.

Key Features

01OpenTelemetry-compatible network instrumentation

0298 GitHub stars

03Vendor-specific integration strategies for Sentry, Datadog, and Embrace

04Distributed tracing via W3C trace header propagation

05API performance monitoring with p50 and p95 latency thresholds

06Platform-specific interceptor patterns for iOS, Android, and React Native

Use Cases

01Debugging intermittent API failures across diverse mobile environments

02Correlating slow mobile app requests with specific backend trace IDs

03Implementing automated performance monitoring for critical network endpoints

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nexus-labs-automation/mobile-observability network-tracing

For use in Claude.ai and ChatGPT

Download Skill