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.
EnglishHigh-performance PostgreSQL patterns. Use when optimizing queries, designing for scale, or debugging performance issues.
EnglishIncludes Postgres Performance and other workflows.
Supported by the Atlas install prompt. Skill-specific requirements vary.
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What’s included
Kagent
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.
Postgres Performance
High-performance PostgreSQL patterns. Use when optimizing queries, designing for scale, or debugging performance issues.
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