Can I use this with languages other than TypeScript?

While the examples are provided in TypeScript using common libraries like Pino and prom-client, the architectural patterns and alert rules can be applied to any backend stack.

How does it help with Groq rate limits?

The skill includes specific gauge metrics to track 'groq_rate_limit_remaining', allowing you to visualize and alert on rate limit headroom.

Which monitoring tools are compatible with this skill?

This skill is designed to work with Prometheus for metrics, AlertManager for notifications, and OpenTelemetry-compliant backends for distributed tracing.

Does this skill provide real-time alerting?

Yes, it includes YAML templates for AlertManager that trigger notifications for high error rates, P95 latency spikes, and service downtime.

Groq Observability

Name: Groq Observability
Author: jeremylongshore

byjeremylongshore

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983

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分析与监控

Implements comprehensive monitoring, distributed tracing, and alerting for Groq AI integrations using Prometheus and OpenTelemetry.

The Groq Observability skill provides a production-ready framework for monitoring the health and performance of Groq-powered applications. It automates the implementation of key telemetry data, including Prometheus metrics for request latency and error rates, OpenTelemetry for distributed tracing, and structured JSON logging. By providing pre-defined AlertManager rules and Grafana dashboard templates, this skill helps developers identify performance bottlenecks, track rate limit headroom, and receive proactive notifications about integration issues before they impact end-users.

主要功能

01Distributed tracing setup using OpenTelemetry SDK

02Grafana dashboard query templates for real-time performance visualization

03Pre-configured AlertManager rules for high error rates and latency

04983 GitHub stars

05Structured JSON logging with standardized fields for Groq operations

06Prometheus metrics instrumentation for latency, errors, and request totals

使用场景

01Monitoring Groq API health and rate limit status in production environments

02Debugging complex AI workflows using distributed request tracing

03Setting up automated incident alerts for AI service degradation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills groq-observability

For use in Claude.ai and ChatGPT

主要功能

01Distributed tracing setup using OpenTelemetry SDK

02Grafana dashboard query templates for real-time performance visualization

03Pre-configured AlertManager rules for high error rates and latency

04983 GitHub stars

05Structured JSON logging with standardized fields for Groq operations

06Prometheus metrics instrumentation for latency, errors, and request totals

使用场景

01Monitoring Groq API health and rate limit status in production environments

02Debugging complex AI workflows using distributed request tracing

03Setting up automated incident alerts for AI service degradation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills groq-observability

For use in Claude.ai and ChatGPT