kagent

Comprehensive guide for kagent development covering CRD modifications, E2E testing, PR workflows, local deployment, and debugging. Use this skill when working on the kagent codebase itself - adding features, fixing bugs, reviewing PRs, running tests, or troubleshooting failures. Trigger for any kagent development tasks including understanding the codebase structure, modifying CRDs, writing tests, deploying locally, or analyzing CI failures.

Expert guide for using kagent — the open-source Kubernetes-native framework for building, deploying, and running AI agents. Covers the kagent CLI, creating agents (declarative YAML and custom ADK code), configuring LLM providers, adding MCP tools, exposing agents as MCP servers in IDEs like Cursor and Claude Code, the A2A protocol, system prompt design, local development, debugging, and observability. Use this skill whenever the user mentions kagent, asks about deploying AI agents to Kubernetes, wants to create or configure kagent agents, needs help with kagent CLI commands, asks about connecting kagent agents to their IDE via MCP, or is troubleshooting kagent issues — even if they don't explicitly say "kagent" but describe a Kubernetes-based AI agent workflow.

A skill that makes a kebab for the user.