observability-and-instrumentation
Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you can't tell what happened from the available data.
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observability-and-instrumentation is a SKILL.md that guides an AI coding agent through instrumenting code with logging, metrics, tracing, and alerting. It defines a workflow: define questions first, match signals to questions, use structured logs and RED metrics, add OpenTelemetry tracing, symptom-based alerts with runbooks, and verify the telemetry itself.
Reach for it when shipping production features that need working telemetry, or when incidents reveal you can't diagnose what happened from current data.
Use it to
- Add structured logging and RED metrics to an endpoint
- Set up OpenTelemetry distributed tracing for a service
- Write symptom-based alerts with linked runbooks
- Instrument a feature PR that retries or calls external services
- Verify telemetry output before shipping
For Developers and agents shipping production features needing diagnosable telemetry
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