Does it include help for MaintainX rate limiting?

Yes, it includes specific metric gauges for tracking remaining API rate limits to help prevent 429 Too Many Requests errors.

Is this suitable for production environments?

Absolutely. It uses industry-standard libraries and practices like structured JSON logging and health check patterns required for modern production orchestration.

What monitoring tools does this skill support?

It primarily provides implementation patterns for Prometheus (metrics), Winston (logging), and OpenTelemetry (tracing), though the logic is compatible with Datadog, CloudWatch, and New Relic.

How does this improve MaintainX integration reliability?

By providing real-time visibility into API errors, latency, and throughput, allowing teams to identify and resolve issues before they impact maintenance operations.

MaintainX Observability & Monitoring

Name: MaintainX Observability & Monitoring
Author: jeremylongshore

byjeremylongshore

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1,449

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Analytics & Monitoring

Implements comprehensive monitoring, logging, and tracing for MaintainX API integrations to ensure high reliability and fast incident response.

This skill provides a standardized framework for adding full-stack observability to MaintainX integrations. It guides developers through setting up Prometheus metrics for API latency and error rates, Winston-based structured logging for deep request tracing, and OpenTelemetry for distributed tracing across microservices. By implementing these patterns, you can ensure production-grade visibility into your maintenance management workflows, monitor API rate limits in real-time, and establish automated health checks and alerting rules to maintain system uptime.

Key Features

01Standardized Prometheus metrics for API throughput and error tracking

02Pre-configured alerting rules for high error rates and latency spikes

03Distributed tracing implementation using OpenTelemetry standards

041,449 GitHub stars

05Structured JSON logging with Winston for simplified log aggregation

06Automated health check endpoints for integration status monitoring

Use Cases

01Monitoring the performance and reliability of custom MaintainX API integrations

02Setting up production-ready alerts for critical work order creation flows

03Debugging bottlenecks and identifying intermittent request failures in production

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01Standardized Prometheus metrics for API throughput and error tracking

02Pre-configured alerting rules for high error rates and latency spikes

03Distributed tracing implementation using OpenTelemetry standards

041,449 GitHub stars

05Structured JSON logging with Winston for simplified log aggregation

06Automated health check endpoints for integration status monitoring

Use Cases

01Monitoring the performance and reliability of custom MaintainX API integrations

02Setting up production-ready alerts for critical work order creation flows

03Debugging bottlenecks and identifying intermittent request failures in production

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Download Skill