opentelemetry-skill

Configure OpenTelemetry collectors and pipelines with production-safe defaults.

44|5|Updated Jan 31, 2026

Search Tags:#security #compliance #kubernetes #observability #telemetry #opentelemetry #ai-agents

Ready to run

npx skills add https://github.com/o11y-dev/opentelemetry-skill --skill opentelemetry-skill

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: opentelemetry-skill
Source: https://github.com/o11y-dev/opentelemetry-skill/tree/main
Command: npx skills add https://github.com/o11y-dev/opentelemetry-skill --skill opentelemetry-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The OpenTelemetry skill provides production-grade guidance to configure collectors, design robust pipelines, instrument applications, and monitor AI coding agents, reducing complexity and risk in production observability.

Core Features & Use Cases

Progressive disclosure: loads deep reference docs only when topics are triggered
Production-safe defaults: memory_limiter first, batching, TLS, PII redaction, and validation across pipelines
AI-agent observability guidance: coverage for Claude Code, Gemini CLI, Copilot, Codex
TDD/evaluation framework: baseline and compliance testing to quantify improvements
Compatibility and up-to-date guidance with OpenTelemetry specs

Quick Start

Use the OpenTelemetry skill to guide production-ready configurations and adapt prompts to trigger context-loaded references.

Frequently Asked Questions about opentelemetry-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I configure OpenTelemetry collectors for production Kubernetes deployments?▼

Configure OpenTelemetry collectors for Kubernetes by enforcing memory_limiter-first processor ordering, batching, TLS, and PII redaction patterns to ensure production-safe telemetry pipelines.

What is the best way to monitor AI coding agents with OpenTelemetry?▼

Monitor AI coding agents using OpenTelemetry by applying specialized observability guidance covering Claude Code, Gemini CLI, Copilot, and Codex to capture agent telemetry and evaluate performance.

How does progressive disclosure work for loading OpenTelemetry reference documentation?▼

Progressive disclosure loads deep OpenTelemetry reference docs only when triggered by relevant topics, optimizing context windows by adapting prompts to surface configuration references on demand.

Can I use OTTL best practices to validate OpenTelemetry pipeline configurations?▼

Validate OpenTelemetry pipeline configurations using enforced OTTL best practices and a comprehensive reference set, applying baseline and compliance testing frameworks to quantify telemetry improvements.

Does OpenTelemetry guidance support TLS and PII redaction across all pipelines?▼

OpenTelemetry guidance enforces TLS and PII redaction patterns across all pipelines, applying production-safe defaults to ensure security and compliance within cloud-native observability deployments.