How do I configure the OTel Collector with this skill?

The skill provides a standardized YAML configuration for the OpenTelemetry Collector to receive, process, and export data to backends like Zipkin and Prometheus.

Does it support context propagation across services?

Yes, it covers Baggage propagation to ensure that metadata and tracing context are successfully passed across distributed service boundaries.

Which languages and frameworks does this skill support?

It primarily provides patterns and configurations for Spring Boot (Kotlin/Java) and Next.js/Node.js (TypeScript/JavaScript).

Does this skill include Sentry for error tracking?

Yes, it includes specific implementation patterns for integrating Sentry with Spring Boot, including custom error handling and scope management.

Can I use this for custom business metrics?

Absolutely. The skill includes examples for implementing counters and timers using Micrometer and the OpenTelemetry SDK to track application-specific events.

OpenTelemetry Observability

Name: OpenTelemetry Observability
Author: ashchupliak

byashchupliak

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分析与监控

Implements comprehensive distributed tracing, metrics, and monitoring using OpenTelemetry and Sentry across backend and frontend services.

This skill provides standardized patterns for integrating OpenTelemetry observability into modern software architectures, specifically targeting Spring Boot and Next.js environments. It enables developers to implement distributed tracing, custom span management, metrics collection via Micrometer, and seamless Sentry integration for error reporting. By providing ready-to-use configuration patterns and instrumentation examples, it helps teams establish robust monitoring, simplify debugging in distributed systems, and ensure high-fidelity visibility into system performance and application health.

主要功能

01Distributed tracing patterns for Spring Boot (Kotlin) and Next.js/Node.js

02Metrics collection and instrumentation using Micrometer and Prometheus

03Integrated Sentry error reporting with rich contextual metadata

04Custom span management and annotation-based tracing implementations

051 GitHub stars

06Standardized OpenTelemetry Collector configuration for trace and metric pipelines

使用场景

01Debugging complex performance bottlenecks using baggage propagation and custom spans

02Setting up full-stack observability for a microservices architecture

03Implementing standardized error handling and monitoring for cloud-native applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ashchupliak/dream-team opentelemetry

For use in Claude.ai and ChatGPT

主要功能

01Distributed tracing patterns for Spring Boot (Kotlin) and Next.js/Node.js

02Metrics collection and instrumentation using Micrometer and Prometheus

03Integrated Sentry error reporting with rich contextual metadata

04Custom span management and annotation-based tracing implementations

051 GitHub stars

06Standardized OpenTelemetry Collector configuration for trace and metric pipelines

使用场景

01Debugging complex performance bottlenecks using baggage propagation and custom spans

02Setting up full-stack observability for a microservices architecture

03Implementing standardized error handling and monitoring for cloud-native applications