Can I export diagnostic data for support tickets?

Yes, the skill includes functionality to generate a downloadable JSON debug bundle that users can share to help you troubleshoot issues.

How does this skill help with Obsidian plugin development?

It provides a standardized architecture for logging and monitoring, helping you identify performance bottlenecks and track errors that occur in user environments.

Will the logging system slow down my plugin?

The implementation uses best practices such as bounded history buffers and async patterns to ensure observability has a negligible impact on performance.

Does this skill include a user interface for debugging?

Yes, it provides instructions and code patterns to implement a dedicated sidebar view that displays real-time metrics and log history.

What metrics can I track with this skill?

You can track command execution times, file operation counts, error rates, cache hit ratios, and memory usage via counters, gauges, and timers.

Obsidian Plugin Observability

Name: Obsidian Plugin Observability
Author: micsapp

bymicsapp

0•

Analíticas y Monitorización

Implements professional-grade logging, performance monitoring, and real-time debug panels for Obsidian plugin development.

The Obsidian Observability skill empowers developers to build production-ready Obsidian plugins by integrating robust monitoring and diagnostic tools. It provides a standardized framework for structured logging, performance metrics (including p95 response times), and error tracking with deduplication. By automating the creation of a dedicated sidebar debug panel and JSON diagnostic exports, this skill simplifies the troubleshooting process and helps developers maintain high-performance, reliable extensions for the Obsidian ecosystem.

Características Principales

01Diagnostic data export to JSON for simplified user support

02Real-time Sidebar Debug View for runtime inspection

03Structured Logger with tiered levels and history buffering

04Metrics collection for tracking command execution and resource health

050 GitHub stars

06Error tracking system with automated deduplication and async wrappers

Casos de Uso

01Creating diagnostic support bundles for user-submitted bug reports

02Debugging intermittent command failures in production environments

03Profiling plugin performance to identify bottlenecks in file operations

Características Principales

01Diagnostic data export to JSON for simplified user support

02Real-time Sidebar Debug View for runtime inspection

03Structured Logger with tiered levels and history buffering

04Metrics collection for tracking command execution and resource health

050 GitHub stars

06Error tracking system with automated deduplication and async wrappers

Casos de Uso

01Creating diagnostic support bundles for user-submitted bug reports

02Debugging intermittent command failures in production environments

03Profiling plugin performance to identify bottlenecks in file operations