Which monitoring tools are supported?

The skill is designed to work primarily with Prometheus for metrics collection, AlertManager for notifications, and Pino for structured logging.

Can I track translation progress for specific languages?

Yes, the skill provides metrics that track translation coverage percentages by project and specific ISO language codes.

Does it include health check capabilities?

Yes, it provides a standardized health check endpoint pattern to verify connectivity, latency, and authentication status between your application and Lokalise.

How does this skill help with Lokalise rate limits?

It includes specific gauge metrics and alert rules to track remaining rate limit headroom, allowing you to react before your integration hits API caps.

Can I use this for real-time alerting?

Absolutely, it includes pre-defined Prometheus alert rules for high error rates, high latency, and service downtime to ensure your localization pipeline stays active.

Lokalise Observability & Monitoring

Name: Lokalise Observability & Monitoring
Author: jeremylongshore

byjeremylongshore

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1,243

分析与监控

Implements comprehensive monitoring for Lokalise integrations using metrics, structured logging, and automated alerting.

关于

The Lokalise Observability skill provides a production-ready framework for monitoring your translation workflows and API interactions. It automates the setup of Prometheus metrics, Pino structured logging, and Grafana dashboards, allowing teams to track translation coverage, API rate limits, and latency in real-time. This skill is essential for developers maintaining mission-critical localization pipelines who need to ensure reliability, detect bottlenecks early, and maintain high translation quality across multiple projects and languages.

主要功能

Automated health check endpoints for integration status monitoring
Real-time translation coverage tracking by project and language
Ready-to-use AlertManager rules for rate limits and high failure rates
Pre-configured Prometheus metrics for API requests, latency, and error rates
1,243 GitHub stars
Structured logging patterns for improved debugging and audit trails

使用场景

Setting up dashboards to visualize translation progress and coverage across teams
Configuring proactive alerts for API rate limit exhaustion or high error frequencies
Monitoring localization API performance and reliability in production environments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Download Skill

GitHub

关于