What types of metrics can I track?

You can implement Counters for occurrences, Gauges for current values, Histograms for distributions, and Summaries for statistical analysis.

Does it support custom log formatting?

Yes, it provides examples for creating custom loggers, such as JSON loggers, by replacing the default Effect logger.

Which logging levels does this skill support?

The skill supports all standard Effect log levels including Trace, Debug, Info, Warning, Error, Fatal, and None.

Can I integrate this with existing OpenTelemetry setups?

Yes, the skill includes specific patterns for using the @effect/opentelemetry package to connect with OTLP exporters and external collectors.

Effect Observability

Name: Effect Observability
Author: andrueandersoncs

byandrueandersoncs

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Analytics & Monitoring

Implements comprehensive logging, metrics, and distributed tracing using the Effect-TS ecosystem for robust application monitoring.

This skill empowers developers to integrate deep observability into their Effect applications by providing standardized patterns for structured logging, performance metrics, and distributed tracing. It covers everything from basic log levels and custom loggers to complex OpenTelemetry configurations and nested span management, ensuring that functional workflows are fully transparent and debuggable. Whether you need to track request latency with histograms or monitor system health with tagged metrics, this skill provides the necessary implementation patterns.

Key Features

01Structured, leveled logging with custom annotations and log spans

023 GitHub stars

03Distributed tracing with nested spans and automated attribute tagging

04Custom logger and tracer implementation patterns for specialized environments

05Seamless integration with OpenTelemetry (OTEL) and OTLP exporters

06Comprehensive metrics suite including counters, gauges, histograms, and summaries

Use Cases

01Monitoring production application health and performance bottlenecks

02Collecting granular technical and business metrics like request counts and latency

03Debugging complex asynchronous workflows through distributed tracing spans

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add andrueandersoncs/claude-skill-effect-ts observability

For use in Claude.ai and ChatGPT

Download Skill