OpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting
Scanned 9/6/2026
Install to Claude Code
npx -y skills add bobmatnyc/claude-mpm-skills --skill opentelemetry --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: opentelemetry
description: "OpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting"
user-invocable: false
disable-model-invocation: true
version: 1.0.0
category: universal
author: Claude MPM Team
license: MIT
progressive_disclosure:
entry_point:
summary: "Instrument services with OpenTelemetry and export OTLP traces/metrics/logs through a Collector for correlation and troubleshooting"
when_to_use: "When building production observability, adding tracing to distributed systems, or standardizing telemetry across languages"
quick_start: "1. Set service.name 2. Add auto-instrumentation 3. Export OTLP 4. Deploy Collector 5. Correlate logs with trace IDs"
token_estimate:
entry: 150
full: 9000
context_limit: 900
tags:
- observability
- opentelemetry
- tracing
- metrics
- logs
- otlp
requires_tools: []
---
# 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
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