Loading...
Loading...
Found 5 Skills
Structured logging extensions for Golang using samber/slog-**** packages — multi-handler pipelines (slog-multi), log sampling (slog-sampling), attribute formatting (slog-formatter), HTTP middleware (slog-fiber, slog-gin, slog-chi, slog-echo), and backend routing (slog-datadog, slog-sentry, slog-loki, slog-syslog, slog-logstash, slog-graylog...). Apply when using or adopting slog, or when the codebase already imports any github.com/samber/slog-* package.
Use the `datadog` CLI to manage Datadog resources — monitors, metrics, events, logs, services, errors, and pipelines. Invoke this skill whenever the user asks to query, create, update, or delete Datadog monitors, search logs or errors, check metric values, list APM services, or manage log pipelines. Also trigger when the user mentions Datadog observability tasks like "check the error rate", "look at monitors", "search logs for errors", "list services", or "set up a log pipeline".
Log management - search, pipelines, archives, and cost control.
Designing log pipelines. Aggregation, structured queries, sampling, PII scrubbing, correlation.
This skill should be used when the user designs "distributed logging", "log aggregation", "centralized logs", an "ELK" or "EFK" stack, "log shipping", "structured logging", a "correlation ID" or "trace ID" in logs, "log retention", or "high-volume log ingest". It gives the collect → buffer → ship → index → store → retain pipeline, sampling, ordering, and cold-storage tiering. Use it whenever many services emit logs that must be searched in one place under load, even if the user doesn't say "logging pipeline".