run-agent

Configure and execute AI agents with local, remote, and one-shot modes.

2.9k|342|Updated Feb 24, 2026
One-click install
npx skills add https://github.com/open-gitagent/gitagent-protocol --skill run-agent-open-gitagent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: run-agent
Source: https://github.com/open-gitagent/gitagent-protocol/tree/main/examples/gitagent-helper/skills/run-agent
Command: npx skills add https://github.com/open-gitagent/gitagent-protocol --skill run-agent-open-gitagent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of configuring and running AI agents with various adapters, simplifying multi-platform integrations.

Core Features & Use Cases

  • Flexible Agent Execution: Launch agents locally, from git repositories, or with custom prompts across multiple frameworks and providers.
  • Adapter Support: Easily switch between adapters like Claude, OpenAI, CrewAI, Lyzr, and GitHub Models using simple commands.
  • Use Case: A user can quickly deploy an agent with a specified provider and prompt for code review or data analysis tasks without manual setup.

Quick Start

Use the run-agent skill to start an agent with OpenAI for a specific prompt.

Frequently Asked Questions about run-agent

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

FAQPage Schema
How do I run AI agents across different frameworks like OpenAI and CrewAI?

You can execute AI agents locally, from git repositories, or with custom prompts using flexible adapters. This tool supports local, remote, and one-shot execution modes to facilitate quick testing, deployment, or switching of AI providers and models.

Can I deploy an agent from a git repository for a one-shot testing task?

Yes, you can deploy an agent from a git repository or use custom prompts for one-shot testing tasks. The tool supports local, remote, and one-shot execution modes to facilitate quick testing and deployment without manual setup.

Does this agent execution framework handle authentication and cache management?

Yes, the agent execution framework handles authentication and cache management seamlessly. It ensures compatibility with multiple frameworks and providers, streamlining the process of configuring and running AI agents with various adapters.

What is the best way to switch AI providers and models for an existing project?

The best way to switch AI providers and models is by using flexible adapters. You can easily switch between adapters like Claude, OpenAI, CrewAI, Lyzr, and GitHub Models using simple commands without requiring manual setup.

Are there limitations when trying to integrate multiple AI platforms without an adapter?

Integrating multiple AI platforms without an adapter requires manual setup and configuration. This tool solves that limitation by streamlining multi-platform integrations through flexible adapters, ensuring compatibility across different frameworks.