{"id":"324352ba-57f6-4880-afa4-b2b0cb3ecf82","shortId":"auHE4V","kind":"skill","title":"Investigate production incidents across Kubernetes and cloud signals with HolmesGPT","tagline":"Use HolmesGPT when an on-call agent needs one investigation loop that pulls alerts, logs, metrics, and infrastructure context from multiple systems and returns a root-cause path instead of forcing a human to hop across separate observability products.","description":"# Investigate production incidents across Kubernetes and cloud signals with HolmesGPT\n\nUse HolmesGPT when an on-call agent needs one investigation loop that pulls alerts, logs, metrics, and infrastructure context from multiple systems and returns a root-cause path instead of forcing a human to hop across separate observability products.\n\n## Prerequisites\n\nHolmesGPT CLI or operator deployment, one supported LLM provider, and connected observability/toolset integrations\n\n## Installation\n\nRequirements and caveats from upstream:\n- | [\"AKS\" **AKS**](https://holmesgpt.dev/data-sources/builtin-toolsets/aks/) | Azure Kubernetes Service cluster and node...\n- | [\"Docker\" **Docker**](https://holmesgpt.dev/data-sources/builtin-toolsets/docker/) | Get images, logs, events, hist...\n\nBasic usage or getting-started notes:\n- \n- \"All\n- \n\n- Source: https://github.com/HolmesGPT/holmesgpt\n- Extracted from upstream docs: https://raw.githubusercontent.com/HolmesGPT/holmesgpt/HEAD/README.md\n\n## Documentation\n\n- https://holmesgpt.dev/\n\n## Source\n\n- [Agent Skill 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