clawcore-cli

Manage AI agents and workflows via a terminal UI.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/gvastethecreator/clawcore-cli --skill clawcore-cli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clawcore-cli
Source: https://github.com/gvastethecreator/clawcore-cli/tree/main
Command: npx skills add https://github.com/gvastethecreator/clawcore-cli --skill clawcore-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a powerful terminal interface for managing AI agents and their associated workflows, simplifying complex operations into intuitive keyboard commands.

Core Features & Use Cases

  • AI Agent Management: Monitor and control AI agents, view their status, sessions, and logs.
  • Workflow Visualization: Browse and understand AI agent workflows.
  • System Monitoring: Track system performance, resource usage, and model quotas.
  • Use Case: A developer can quickly check the status of all running AI agents, view recent logs for errors, and restart a misbehaving agent, all without leaving the terminal.

Quick Start

Use the clawcore-cli skill to view the status of all active AI agents.

Frequently Asked Questions about clawcore-cli

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

FAQPage Schema
How do I manage AI agents from the terminal?

You can manage AI agents from the terminal using a text-based interface that provides real-time monitoring, session tracking, and control over agent workflows. It reads data directly from the ~/.openclaw directory to display agent status and logs.

Can I monitor AI agent workflows and system quotas on macOS and Windows?

Yes, you can monitor AI agent workflows and system quotas across Linux, macOS, and Windows. The terminal interface tracks system performance, resource usage, and model quotas, offering cross-platform operation.

How do I view logs and check the status of running AI agents?

To view logs and check the status of running AI agents, use the terminal interface to monitor active sessions. It displays real-time agent status, recent logs for error checking, and system insights.

What is the best way to control cron jobs for AI agents in a terminal UI?

The best way to control cron jobs for AI agents in a terminal UI is using a dedicated management interface that features cron job management. It allows you to schedule and monitor tasks alongside viewing agent status.

Why use a terminal UI for managing AI agents instead of a web dashboard?

A terminal UI for managing AI agents allows developers to quickly check status, view logs, and restart misbehaving agents without leaving the command line. It simplifies complex operations into intuitive keyboard commands.

Does clawcore-cli require a specific directory structure to manage AI agents?

Yes, clawcore-cli requires the ~/.openclaw directory to manage AI agents. It reads data directly from this location to provide real-time monitoring, session tracking, and workflow visualization.