Can I use this with existing Prometheus and Grafana setups?

Yes, the skill provides standard Prometheus registry implementations and JSON dashboard exports compatible with most Grafana environments.

Does this skill help with distributed tracing?

Absolutely. It includes OpenTelemetry instrumentation to trace complete lesson sessions and individual API exchanges.

What metrics does this skill track for Speak integrations?

It tracks both business metrics (lessons started/completed, pronunciation scores) and technical metrics (API latency, speech recognition duration, and error rates).

What alerts are pre-configured?

It includes rules for high API error rates, slow speech recognition, low lesson completion rates, and API downtime.

Speak Observability

Name: Speak Observability
Author: jeremylongshore

byjeremylongshore

•

1,243

Analytics & Monitoring

Configures comprehensive monitoring, metrics, and alerting systems for Speak language learning integrations.

About

The Speak Observability skill provides developers with a standardized framework for monitoring the health and performance of Speak API integrations. It implements a full-stack observability pattern including Prometheus metrics for business and technical KPIs, OpenTelemetry for distributed tracing of lesson sessions, and structured logging for deep debugging. By using this skill, teams can gain immediate visibility into lesson completion rates, pronunciation score distributions, and speech recognition latency, while establishing automated alerting for critical failures or performance degradation.

Key Features

Technical performance tracking for API latency, error rates, and speech recognition speed
1,243 GitHub stars
Structured logging implementation for high-context incident response
OpenTelemetry distributed tracing for end-to-end lesson session visibility
Ready-to-use Grafana dashboard configurations and AlertManager rule sets
Pre-defined Prometheus metrics for business KPIs like lesson completion and pronunciation scores

Use Cases

Monitoring student engagement and lesson abandonment rates in language learning apps
Setting up automated alerts for high error rates or sudden drops in pronunciation scores
Debugging speech-to-text latency and API performance bottlenecks in real-time

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Download Skill

GitHub