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outlier-detection-analysis
Cursor Skill
Identify which field values correlate with bad behavior (slowness, errors, anomalies, unusual values) using phi-coefficient correlation analysis over OPAL. Works on any time-series data — metrics, structured logs, span/trace data, or any dataset where rows can be split into a 'ba
Agent skills and MCP configuration for deploying and managing Observe's observability infrastructure
Skills16
alert-investigationInvestigate alerts using systematic SRE methodology to understand issues, assess impact, test hypotheses, and identify root causes with evidence-based analysis. Use when: (1) User asks to investigate or analyze an alert (2) User mentions a specific alert or monitor that is firing
debug-k8s-collectionTroubleshoot and debug Observe Agent data collection on Kubernetes. Use this skill whenever the user reports any K8s-side problem with Observe — pods crashing, stuck Pending, ImagePullBackOff, "no data in Observe", missing datastreams, suspected token/secret issues, endpoint reac
debug-linux-host-collectionTroubleshoot and debug Observe Agent data collection on Linux hosts. Use this skill whenever the user reports any host-side problem with Observe — the agent failing to start, `observe-agent status` reporting errors, `init-config` failing with unknown flags, "no data in Observe" f
deploy-k8s-explorerEnd-to-end onboarding of a Kubernetes cluster to Observe — creates the backend datastreams + content via the Observe CLI and deploys the observe/agent helm chart. Use for ANY request to install or set up the Observe Agent on Kubernetes, onboard a K8s cluster to Observe, or send K
deploy-linux-host-explorerEnd-to-end Host Explorer deployment for Observe — creates backend resources (datastreams, content, ingest token) via the Observe CLI and installs the observe-agent on a Linux host. Use this skill whenever the user mentions setting up Observe on a Linux machine, onboarding a host
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