Does this work with standard Node.js/TypeScript applications?

Absolutely. The implementation patterns use industry-standard libraries like prom-client, pino, and @opentelemetry/api which are compatible with any modern TypeScript environment.

What monitoring tools does this skill support?

This skill is designed to work with Prometheus for metrics collection, OpenTelemetry for distributed tracing, Grafana for visualization, and AlertManager for incident notification.

Can I track Clay API rate limits using this skill?

Yes, the skill includes specific instrumentation to monitor 'clay_rate_limit_remaining' as a Gauge metric, helping you avoid unexpected throttling.

How does it help with debugging production errors?

By implementing structured logging and distributed tracing, it allows you to trace a specific request's lifecycle and view the exact error codes and metadata associated with failed Clay operations.

Clay Observability

Name: Clay Observability
Author: jeremylongshore

byjeremylongshore

•

1,056

Analytics & Monitoring

Configures comprehensive monitoring, tracing, and alerting for Clay integrations to ensure system reliability and performance.

About

The Clay Observability skill provides a standardized framework for monitoring Clay API integrations using industry-standard tools like Prometheus and OpenTelemetry. It enables developers to implement structured logging, capture latency and error metrics, set up distributed tracing for request flow analysis, and deploy pre-configured alerting rules for proactive incident response. This skill is essential for maintaining production-grade reliability and debugging performance bottlenecks when scaling automated workflows and data enrichment processes with Clay.

Key Features

Ready-to-use Grafana dashboard configurations for real-time performance visualization.
Structured JSON logging patterns for consistent and searchable debug data.
Automated Prometheus metrics instrumentation for API requests, latency, and rate limits.
1,056 GitHub stars
Distributed tracing setup using OpenTelemetry for end-to-end request visibility.
Pre-defined Prometheus alerting rules for high error rates and system downtime.

Use Cases

Monitoring Clay API usage and rate limit headroom in high-volume production environments.
Setting up proactive alerts to notify engineering teams of integration failures.
Debugging performance bottlenecks in complex multi-step data enrichment pipelines.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Download Skill

GitHub