What is the RED method supported by this skill?

The RED method is a monitoring framework focusing on Rate (requests per second), Errors (number of failed requests), and Duration (amount of time requests take).

Can this skill help with OpenTelemetry integration?

Yes, it provides specific patterns and code examples for implementing OpenTelemetry tracing and context propagation in backend services.

Which logging frameworks are recommended?

The skill emphasizes structured logging using libraries like structlog for Python, focusing on JSON output suitable for tools like ELK or Grafana Loki.

Does it support Prometheus alerting?

It includes configurations for Prometheus metrics and guidance on setting up alert thresholds for p99 latency and error rates.

How does this improve production debugging?

By standardizing logs and traces, the skill allows Claude to help you navigate request flows across services to identify the root cause of failures.

Backend Observability

Name: Backend Observability
Author: pluginagentmarketplace

bypluginagentmarketplace

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分析と監視

Implements comprehensive logging, metrics, and distributed tracing to monitor and debug production-grade backend applications.

The Observability skill empowers Claude to integrate modern monitoring standards into your backend architecture, focusing on the three pillars of observability: logs, metrics, and traces. It provides production-grade patterns for OpenTelemetry, Prometheus, and structured logging, enabling developers to implement the RED method (Rate, Errors, Duration) for system health. This skill is essential for building resilient distributed systems where tracing request flows and configuring proactive alerting are critical for maintaining uptime and performance.

主な機能

01Structured logging setup using tools like structlog and ELK/Loki integration

02Distributed tracing implementation with OpenTelemetry and Jaeger

03Production debugging guidance and high-cardinality troubleshooting

041 GitHub stars

05Prometheus metrics collection for real-time system state monitoring

06Alerting configuration based on Rate, Error, and Duration (RED) thresholds

ユースケース

01Instrumenting a microservices architecture with end-to-end distributed tracing

02Setting up structured JSON logging for centralized log management in production

03Configuring custom Prometheus counters and histograms for API performance tracking

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pluginagentmarketplace/custom-plugin-backend observability

For use in Claude.ai and ChatGPT

Download Skill