openclaw-agent-run

Invokes AI agents via the `openclaw agent` command-line interface with session and output control.

Updated Feb 18, 2026
One-click install
npx skills add https://github.com/ollieb89/openrepo --skill openclaw-agent-run
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openclaw-agent-run
Source: https://github.com/ollieb89/openrepo/tree/main/skills/openclaw-agent-run
Command: npx skills add https://github.com/ollieb89/openrepo --skill openclaw-agent-run

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of interacting with AI agents through a command-line interface, enabling programmatic control and automation of agent tasks.

Core Features & Use Cases

  • Direct Agent Invocation: Trigger specific agent actions with custom messages.
  • Session Management: Target existing sessions or create new ones for continuous interaction.
  • Output Control: Choose between plain text or structured JSON output for easy parsing.
  • Use Case: Automate a daily report generation by scripting openclaw agent to send a specific prompt to a reporting agent and then process the JSON output for further actions.

Quick Start

Use the openclaw agent skill to send a message to the 'main' agent.

Frequently Asked Questions about openclaw-agent-run

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

FAQPage Schema
How do I invoke an AI agent via the command line for task automation?

You can invoke an AI agent via the command line by using the `openclaw agent` command to trigger specific actions, send custom messages, and facilitate programmatic task delegation within your automation scripts.

Can I get structured JSON output from a CLI agent for automated parsing?

Yes, you can get structured JSON output from a CLI agent. The command-line interface supports output formatting controls, allowing you to choose between plain text for reading or structured JSON output for easy automated parsing.

How do I manage agent sessions when running CLI commands for continuous interaction?

You can manage agent sessions by targeting existing sessions or creating new ones during CLI invocation. This supports continuous interaction and session persistence across multiple automated command-line tasks.

Does the openclaw agent command support verbose mode and agent thinking controls?

Yes, the openclaw agent command supports control over agent thinking and verbose modes. This allows you to adjust the command-line interface output detail level when delegating tasks programmatically.

What is the best way to automate daily report generation using a CLI agent?

The best way to automate daily report generation is by scripting the `openclaw agent` command to send a specific prompt to a reporting agent, then processing the structured JSON output for further automated actions.

Are there limitations when sending messages to specific agents or channels via CLI?

There are no stated limitations in the metadata for sending messages to specific agents or channels via CLI. The command-line interface facilitates direct message delivery to targeted agents or channels for orchestration.