Can I use this for webhook debugging?

Yes, it provides specific logging and metric patterns for webhook arrival, processing duration, and success/failure status to simplify troubleshooting integration issues.

What monitoring tools does this skill support?

It primarily provides implementations for Prometheus (metrics), Pino (logging), and Grafana (dashboards), though the patterns are easily adaptable for Datadog or ELK stacks.

How does it track Linear rate limits?

The skill includes an instrumented client wrapper that automatically extracts 'x-ratelimit-remaining' and 'x-complexity-remaining' headers from API responses to update real-time gauges.

Does it include dashboard templates?

Yes, the skill provides a JSON configuration for a Grafana dashboard featuring panels for request rates, p95 latency, and rate limit status.

Linear Observability & Monitoring

Name: Linear Observability & Monitoring
Author: Brmbobo

byBrmbobo

0•

分析と監視

Implements comprehensive monitoring, structured logging, and automated alerting for Linear API integrations and webhooks.

This skill enables developers to build resilient Linear integrations by setting up a robust observability stack within their applications. It provides standardized patterns for collecting critical API metrics such as request volume, duration, and GraphQL complexity costs, while also tracking real-time rate limit usage. With built-in support for Prometheus metrics, Pino-structured logging, and Grafana dashboard configurations, this skill ensures that teams can proactively identify bottlenecks, debug webhook failures, and maintain high availability for their Linear-connected workflows.

主な機能

01Pre-configured Prometheus alerting rules for error rates and latency

02Health check endpoints for real-time integration status monitoring

03Prometheus-compatible metrics for API requests and complexity costs

040 GitHub stars

05Structured logging for API calls and webhook events using Pino

06Instrumented client wrapper for automatic rate limit and quota tracking

ユースケース

01Creating operational dashboards to visualize integration performance and health

02Debugging failed webhooks with structured logs and entity tracking

03Monitoring production Linear integrations to prevent exceeding rate limits

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add brmbobo/web2podcast linear-observability

For use in Claude.ai and ChatGPT

主な機能

01Pre-configured Prometheus alerting rules for error rates and latency

02Health check endpoints for real-time integration status monitoring

03Prometheus-compatible metrics for API requests and complexity costs

040 GitHub stars

05Structured logging for API calls and webhook events using Pino

06Instrumented client wrapper for automatic rate limit and quota tracking

ユースケース

01Creating operational dashboards to visualize integration performance and health

02Debugging failed webhooks with structured logs and entity tracking

03Monitoring production Linear integrations to prevent exceeding rate limits

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add brmbobo/web2podcast linear-observability

For use in Claude.ai and ChatGPT