# Opentelemetry

> OpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting

- Skill: `ulpi-io/opentelemetry` (Agent Skill, multi-file: 5 files)
- Install (CLI): `npx skillmds@latest add ulpi-io/opentelemetry`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ulpi-io/opentelemetry/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: MIT
- Author: ulpi-io (https://skillmd.com/u/ulpi-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/ulpi-io/opentelemetry

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# OpenTelemetry

## Quick Start (signal design)

- Export OTLP via an OpenTelemetry Collector (vendor-neutral endpoint).
- Standardize resource attributes: `service.name`, `service.version`, `deployment.environment`.
- Start with auto-instrumentation, then add manual spans and log correlation.

## Load Next (References)

- `references/concepts.md` — traces/metrics/logs, context propagation, sampling, semantic conventions
- `references/collector-and-otlp.md` — Collector pipelines, processors, deployment patterns, tail sampling
- `references/instrumentation-and-troubleshooting.md` — manual spans, propagation pitfalls, cardinality, debugging