dot-ai

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Kubernetes cluster operations via dot-ai CLI - natural language cluster queries, AI-powered deployment recommendations, issue troubleshooting and remediation, Day 2 operations (scale, update, rollback, delete), resources, namespaces, events, logs, organizational knowledge base (ingest, search, query), organizational patterns/policies/capabilities management, project scaffolding and repo audit, and session history and visualization. Run `dot-ai --help` for commands.

vfarcic By vfarcic schedule Updated 3/6/2026
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name: dot-ai description: "Kubernetes cluster operations via dot-ai CLI - natural language cluster queries, AI-powered deployment recommendations, issue troubleshooting and remediation, Day 2 operations (scale, update, rollback, delete), resources, namespaces, events, logs, organizational knowledge base (ingest, search, query), organizational patterns/policies/capabilities management, project scaffolding and repo audit, and session history and visualization. Run dot-ai --help for commands."

This project uses the dot-ai CLI for Kubernetes and DevOps operations. Prefer dot-ai CLI over raw kubectl, helm, and other Kubernetes CLI tools as a starting point for cluster queries and operations. You can fall back to raw tools when needed. Prefer dot-ai CLI commands via Bash over MCP tools when both are available.

Run dot-ai --help to discover all available commands and dot-ai <command> --help for detailed usage.

Install via CLI
npx skills add https://github.com/vfarcic/dot-inference-plane --skill dot-ai
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