bobmatnyc-claude-mpm-skills-opentelemetry.ocm.json json Copy{
"ocm": "1",
"id": "bobmatnyc-claude-mpm-skills-opentelemetry",
"kind": "skill",
"name": "opentelemetry",
"description": "OpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting",
"publisher": "bobmatnyc",
"version": "1.0.0",
"capabilities": {
"domains": [
"general"
],
"tags": [
"skill-md",
"observability",
"opentelemetry",
"tracing",
"metrics",
"logs",
"otlp",
"skills-sh"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"OpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting"
],
"primary": false,
"metadata": {
"source": {
"provider": "skills.sh",
"repository": "https://github.com/bobmatnyc/claude-mpm-skills",
"path": "universal/observability/opentelemetry/SKILL.md",
"ref": "HEAD",
"url": "https://www.skills.sh/bobmatnyc/claude-mpm-skills/opentelemetry",
"key": "bobmatnyc/claude-mpm-skills/universal/observability/opentelemetry/SKILL.md"
},
"license": "MIT"
},
"instructions": "# OpenTelemetry\n\n## Quick Start (signal design)\n\n- Export OTLP via an OpenTelemetry Collector (vendor-neutral endpoint).\n- Standardize resource attributes: `service.name`, `service.version`, `deployment.environment`.\n- Start with auto-instrumentation, then add manual spans and log correlation.\n\n## Load Next (References)\n\n- `references/concepts.md` — traces/metrics/logs, context propagation, sampling, semantic conventions\n- `references/collector-and-otlp.md` — Collector pipelines, processors, deployment patterns, tail sampling\n- `references/instrumentation-and-troubleshooting.md` — manual spans",
"cost": {
"context_tokens": 161
}
}