agents

Manage and develop AI agents with the Kubani CLI.

3|Updated Dec 2, 2025

Search Tags:#automation #devops #monitoring #ai development #kubernetes #agent management

Ready to run

npx skills add https://github.com/X-McKay/kubani --skill agents-x-mckay

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agents
Source: https://github.com/X-McKay/kubani/tree/main/.claude/skills/agents
Command: npx skills add https://github.com/X-McKay/kubani --skill agents-x-mckay

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the management, development, and monitoring of AI agents within the Kubani ecosystem, ensuring efficient operation and continuous improvement.

Core Features & Use Cases

Agent Lifecycle Management: Draft, deploy, and monitor the health and status of AI agents.
Development Workflow: Facilitates local development, testing, and evaluation of agents.
Proactive Missions: Manages background tasks and scheduled operations for agents like Nexus.
Use Case: A developer needs to quickly check the deployment status of the k8s-monitor agent and then run its latest tests to ensure code changes haven't introduced regressions.

Quick Start

Use the agents skill to check the status of the 'k8s-monitor' agent.

Frequently Asked Questions about agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I manage AI agent deployment status and health checks?▼

You can manage AI agent deployment status and health checks using the Kubani CLI, which monitors agent versions, deployment pipelines, and overall operational health within the ecosystem.

What is the best way to run local tests and evaluations for AI agents?▼

The best way to run local tests and evaluations for AI agents is by using the local execution environment with hot-reloading, allowing you to validate code changes and ensure no regressions before deployment.

Can I use Kubernetes and Temporal for AI agent orchestration and monitoring?▼

Yes, you can use Kubernetes and Temporal for AI agent orchestration and monitoring, as the system integrates directly with these platforms to manage proactive background missions and scheduled operations.

How do I automate proactive background missions for AI agents?▼

You automate proactive background missions for AI agents by configuring scheduled operations through the orchestration tools, enabling continuous background task execution and monitoring for agents like Nexus.

Does local development of AI agents support hot-reloading?▼

Yes, local development of AI agents supports hot-reloading, allowing developers to immediately see code changes during execution without restarting the environment or breaking the workflow.