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Found 20 Skills
Log queries, filtering, pattern analysis, and log correlation. Search and analyze application and infrastructure logs.
Distributed traces, spans, service dependencies, performance analysis, and failure detection. Query trace data, analyze request flows, and investigate span-level details.
Kubernetes clusters, pods, nodes, workloads, storage, networking, and resource relationships. Query K8s inventory, diagnose degraded deployments and pod failures, investigate rollouts, audit ingress and network policies.
Host and process metrics including CPU, memory, disk, network, containers, and process-level telemetry. Monitor infrastructure health and resource utilization.
Real User Monitoring (RUM), Web Vitals, user sessions, mobile crashes, page performance, user interactions, and frontend errors. Query web and mobile frontend telemetry.
Ship a new dtctl release — bump version, write changelog entries, run tests, commit, tag, push, and write GitHub release notes. Use this skill whenever the user says "release", "ship it", "cut a release", "new version", "bump version", "publish", or asks about the dtctl release process. Also use when the user wants to update CHANGELOG.md for a release or write GitHub release notes.
Service metrics, RED metrics (Rate, Errors, Duration), and runtime-specific telemetry for .NET, Java, Node.js, Python, PHP, and Go applications.
Perform a thorough quality review of a pull request or feature branch before merging. Use this skill whenever the user asks to review a PR, check if code is production-ready, assess quality, verify docs are updated, or asks "is this ready to merge?", "review this PR", "check quality", "is this production ready?", or similar. Also use when reviewing your own work before submitting.