What metrics does this skill track for Linear?

It tracks API request totals, latency distributions (p95/p99), rate limit headroom, and webhook processing efficiency.

How does it help with Linear rate limits?

It implements a gauge metric that tracks remaining rate limit budget and provides Prometheus alerting rules to notify you before limits are reached.

What logging library is recommended with this skill?

The skill is optimized for Pino due to its high performance and structured JSON output, but the patterns can be adapted for Winston or other loggers.

Does this skill support both the Linear API and webhooks?

Yes, it provides instrumentation patterns for both outbound GraphQL API calls and incoming webhook event processing.

Linear Observability & Monitoring

Name: Linear Observability & Monitoring
Author: jeremylongshore

byjeremylongshore

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1,731

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분석 및 모니터링

Implements production-grade monitoring, structured logging, and real-time alerting for Linear API integrations and webhooks.

This skill provides a comprehensive framework for adding observability to Linear-based applications and integrations. It enables Claude to implement Prometheus metrics for tracking API latency and rate limits, structured logging with Pino for better traceability, and automated health checks. Whether you are building internal tools or customer-facing integrations, this skill ensures you have the visibility needed to maintain high reliability, manage API quotas effectively, and debug webhook processing bottlenecks in real-time.

주요 기능

01Automated health check endpoints for API connectivity and service status

02Structured logging patterns using Pino for high-performance traceability

031,731 GitHub stars

04Prometheus metrics for API requests, latency, and rate limit headroom

05Instrumented client wrappers for seamless telemetry collection

06Pre-configured Prometheus alerting rules for error rates and latency spikes

사용 사례

01Debugging and optimizing slow webhook processing in production

02Visualizing integration health and performance via Grafana dashboards

03Monitoring Linear API rate limit consumption to prevent service interruptions

주요 기능

01Automated health check endpoints for API connectivity and service status

02Structured logging patterns using Pino for high-performance traceability

031,731 GitHub stars

04Prometheus metrics for API requests, latency, and rate limit headroom

05Instrumented client wrappers for seamless telemetry collection

06Pre-configured Prometheus alerting rules for error rates and latency spikes

사용 사례

01Debugging and optimizing slow webhook processing in production

02Visualizing integration health and performance via Grafana dashboards

03Monitoring Linear API rate limit consumption to prevent service interruptions