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OpenAEC-Foundation
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oa-state-lifecycle

Manage AI agent lifecycles with CLI commands for monitoring, stopping, attaching, and cleanup.

4|Updated Feb 26, 2026
Search Tags:#monitoring#cli#cleanup#orchestration#lifecycle#agent management
One-click install
npx skills add https://github.com/OpenAEC-Foundation/Open-Agents --skill oa-state-lifecycle
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oa-state-lifecycle
Source: https://github.com/OpenAEC-Foundation/Open-Agents/tree/main/.claude/skills/oa-state-lifecycle
Command: npx skills add https://github.com/OpenAEC-Foundation/Open-Agents --skill oa-state-lifecycle

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides essential command-line tools to monitor, control, and clean up AI agents, ensuring efficient resource management and preventing data loss.

Core Features & Use Cases

  • Agent Monitoring: View the real-time status of all running agents.
  • Agent Control: Safely stop, attach to, or watch individual agents.
  • Workspace Cleanup: Remove temporary files and directories associated with completed agents.
  • Use Case: After running a batch of agents for a complex task, you can use oa status to confirm they've all finished, then oa clean to free up disk space.

Quick Start

Check the status of all running agents by typing oa status.

Frequently Asked Questions about oa-state-lifecycle

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

FAQPage Schema
How do I monitor the status of running AI agents from the command line?▼

To monitor AI agents from the command line, use the `oa status` command to view the real-time operational status of all active agents in your multi-agent system.

What is the best way to clean up temporary files left by completed agents?▼

The best way to clean up temporary files from completed agents is using the `oa clean` command, which removes associated directories and frees up disk space in your workspace.

How do I safely stop an AI agent without losing data?▼

To safely stop an AI agent without data loss, use the agent control commands to terminate the session, ensuring efficient resource management and operational control over the lifecycle process.

Can I attach to an active agent session to watch its progress?▼

Yes, you can attach to an active agent session to watch its progress by using the dedicated session attachment commands provided for agent observability within the orchestration workflow.

Do I need any specific dependencies to manage agent lifecycle operations?▼

No specific dependencies are required to manage agent lifecycle operations, as this Skill provides standalone CLI commands for monitoring, stopping, and cleaning up agents without external module prerequisites.

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