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observability-logging

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Structured telemetry for AI-driven apps.

Software Engineering#logging#observability#tracing#OpenTelemetry#correlation-id#structured-logs
Authorricardoroche
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill promotes structured logging and observability with OpenTelemetry-friendly traces and LLM-specific metrics for tokens, cost, and latency.

Core Features & Use Cases

  • Structured Logging: JSON-formatted logs with standard fields.
  • LLM-Specific Metrics: Track tokens, cost, latency, and success indicators.
  • Correlation & Tracing: Add correlation IDs and trace context for end-to-end observability.

Quick Start

Instrument your AI service with structured JSON logs and LLMMetrics so events are traceable and analyzable.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: observability-logging
Download link: https://github.com/ricardoroche/ricardos-claude-code/archive/main.zip#observability-logging

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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