How do I implement tracing with this skill?

The skill provides a traceGammaCall wrapper function using OpenTelemetry to capture span data for every API interaction.

What observability tools does this skill support?

It includes code and configurations for Prometheus (metrics), Grafana (dashboards), OpenTelemetry (tracing), and Winston (logging).

What metrics are tracked by default?

It tracks total request counts, request duration (P95 latency), business metrics like presentations created, and API rate limit status.

Can this skill help prevent rate limit issues?

Yes, it includes specialized Gauges to track remaining rate limits and Prometheus alert rules to notify you before exhaustion.

Is the logging safe for production use?

Yes, the included logging patterns feature a sanitization function to remove sensitive API keys and secrets before logs are stored.

Gamma Observability

Name: Gamma Observability
Author: jeremylongshore

byjeremylongshore

•

983

Analytics & Monitoring

Implements comprehensive monitoring, logging, and tracing for Gamma API integrations to ensure system reliability and performance.

About

This skill provides standardized patterns and production-ready code for implementing the three pillars of observability within Gamma integrations. It includes pre-configured Prometheus metrics for tracking request rates and latencies, structured Winston logging for detailed audit trails, and OpenTelemetry-based distributed tracing for deep visibility into API calls. It also provides reusable Grafana dashboard configurations and Prometheus alerting rules specifically tuned for Gamma's performance characteristics and rate limits, helping developers maintain high availability and quickly diagnose integration issues.

Key Features

983 GitHub stars
Automated health check endpoints for real-time integration status monitoring
Pre-configured Grafana dashboards and Prometheus alerting rules
Distributed tracing using OpenTelemetry for end-to-end request visibility
Standardized Prometheus metrics for request counters, duration histograms, and rate limit gauges
Structured logging with automated sensitive data sanitization and error stack tracking

Use Cases

Setting up production-grade monitoring for high-volume Gamma API applications
Implementing proactive alerting for Gamma rate limit exhaustion or high error rates
Debugging performance bottlenecks and latency issues in Gamma integrations

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Download Skill

GitHub