Individual skill
intercom-observability
Use when you need production monitoring for an Intercom integration — instrumenting API calls with metrics and traces, standing up dashboards, or wiring alerts for error rate, latency, and rate-limit health. Set up observability for Intercom integrations with Prometheus metrics, OpenTelemetry traces, structured logging, and alert rules. Trigger with phrases like "intercom monitoring", "intercom metrics", "intercom observability", "monitor intercom", "intercom alerts", "intercom tracing".
plugins/saas-packs/intercom-pack/skills/intercom-observability/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
- Nov 12, 2026
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- Repository stars (not skill ratings)
- 2,917
- Repository last updated
- Nov 12, 2026
- License
- MIT
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- support Declared skill tag
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- intercom Declared skill tag
- engineering Derived category
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SKILL.mdcore · 6,762 bytesreferences/examples.mddoc · 3,378 bytesreferences/implementation.mddoc · 8,053 bytes
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# Intercom Observability
## Overview
Comprehensive observability for Intercom integrations covering Prometheus metrics,
OpenTelemetry traces, structured logging, and alert rules for error rates, latency,
and rate-limit usage. Read this page for the workflow and shape of each layer, then
drill into [`references/implementation.md`](references/implementation.md) for the full,
copy-pasteable code and [`references/examples.md`](references/examples.md) for
end-to-end worked scenarios.
## Prerequisites
- Prometheus or compatible metrics backend
- OpenTelemetry SDK (optional, for tracing)