kubesense-skills

Installation
SKILL.md

KubeSense Skills

Observability skills for KubeSense, grouped by telemetry surface.

Skills

Skill Description
kubesense-mcp The tool layer — connection, auth, the full tool inventory, the WHERE/field-name contract every query skill inherits. Start here.
kubesense-logs Search and aggregate logs
kubesense-traces Spans, latency percentiles, error rates, distributed-trace waterfalls
kubesense-metrics PromQL/MetricsQL over Kubernetes, infrastructure and cloud-provider (AWS/GCP/Azure/Atlas/Confluent/Kong) metrics
kubesense-rum Real user monitoring: sessions, page views, web vitals, frontend errors, slow requests from browser and mobile apps
kubesense-spl SPL — the piped log query language, and its inverted field contract
kubesense-sql Raw ClickHouse SQL over logs and traces — joins, CTEs, window functions
kubesense-infra Cluster inventory: clusters, nodes, pods, workloads, infra failures, recent deploys
kubesense-alerts List, investigate, and create alert rules; generate import JSON; migrate Datadog monitors
kubesense-dashboards Create or edit dashboards, or generate preset JSON to import
kubesense-slo Create and manage service level objectives; error budgets, burn-rate alerting, Datadog SLO migration
Installs
92
GitHub Stars
3
First Seen
Aug 11, 2026