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jkremser/kedify

v0.1.0

Retrieve Kubernetes CPU and memory recommendations through Kedify MCP or local kedr, apply selected changes through GitOps pull requests or kubectl, and inspect organizations, clusters, agents, savings, and autoscaling through Kedify's Auth0-protected MCP server at https://mcp.kedify.io/mcp.

recommendations-apply-kubectl

Apply selected existing Kubernetes CPU and memory recommendations directly to live workloads with kubectl. Use when the user wants live resource patches.

Read SKILL.md at the source

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