Does it support Miro API v1?

No, this skill is specifically architected for Miro REST API v2, utilizing v2 endpoint patterns and header structures.

What metrics does this skill track for Miro?

It tracks total request volume, duration/latency histograms, error types (429, 401, 5xx), rate limit credits remaining, and webhook event volume.

How does it handle sensitive information in logs?

The skill includes pre-configured redaction rules for the Pino logger to ensure access tokens and authorization headers never appear in your log streams.

Can I use this with my existing Grafana setup?

Yes, it provides standardized JSON dashboard definitions and Prometheus alert rules that can be easily imported into your existing observability stack.

Miro Observability

Name: Miro Observability
Author: jeremylongshore

byjeremylongshore

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2,024

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分析与监控

Sets up comprehensive monitoring, metrics, and tracing for Miro REST API v2 integrations.

This skill provides a complete observability framework for developers building on the Miro REST API v2. It implements a robust monitoring stack featuring Prometheus metrics for tracking request volume and latency, OpenTelemetry for distributed tracing, and structured logging with Pino. By automating the configuration of Grafana dashboards and Prometheus alert rules, this skill ensures developers can proactively manage Miro rate limits, troubleshoot performance bottlenecks, and maintain high availability for their Miro-connected applications.

主要功能

01Pre-configured Prometheus metrics for request rates, latency, and error types

02Production-ready Grafana dashboard definitions and Prometheus alert rules

03Structured logging with automatic redaction of sensitive tokens and keys

04Real-time rate limit tracking and credit headroom monitoring

052,024 GitHub stars

06OpenTelemetry tracing for end-to-end request flow visibility

使用场景

01Setting up proactive alerting for authentication failures or Miro server-side errors

02Debugging performance issues and P95 latency spikes in Miro dashboard integrations

03Monitoring Miro API usage to prevent hitting rate limits during high-volume data syncs

主要功能

01Pre-configured Prometheus metrics for request rates, latency, and error types

02Production-ready Grafana dashboard definitions and Prometheus alert rules

03Structured logging with automatic redaction of sensitive tokens and keys

04Real-time rate limit tracking and credit headroom monitoring

052,024 GitHub stars

06OpenTelemetry tracing for end-to-end request flow visibility

使用场景

01Setting up proactive alerting for authentication failures or Miro server-side errors

02Debugging performance issues and P95 latency spikes in Miro dashboard integrations

03Monitoring Miro API usage to prevent hitting rate limits during high-volume data syncs