openhands

Delegate complex software development and refactoring tasks to the OpenHands CLI.

1|Updated Jul 31, 2026
One-click install
npx skills add https://github.com/icyzh/hermes-web --skill openhands-icyzh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openhands
Source: https://github.com/icyzh/hermes-web/tree/main/optional-skills/autonomous-ai-agents/openhands
Command: npx skills add https://github.com/icyzh/hermes-web --skill openhands-icyzh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python 3.12, uv, openhands.

What problem does it solve?

This skill solves the challenge of managing multi-step coding projects by delegating them to an autonomous agent that can handle file edits, shell commands, and complex logic without manual oversight.

Core Features & Use Cases

  • Model-Agnostic Delegation: Execute coding tasks using any LiteLLM-supported provider, including DeepSeek, Ollama, and Anthropic.
  • Headless Automation: Run batch or one-shot coding tasks in the background via the terminal tool without requiring a graphical interface.
  • Use Case: Use this skill to automatically refactor a large codebase or implement a new feature across multiple files by providing a single high-level prompt to the agent.

Quick Start

Invoke the openhands skill through the terminal tool to perform a specific coding task by providing the required environment variables and the task description in the command string.

Frequently Asked Questions about openhands

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

FAQPage Schema
How do I automate complex codebase refactoring across multiple files?

Autonomous coding agents handle complex codebase refactoring by executing multi-step file modifications and shell command orchestration in a headless terminal environment, requiring only a single high-level prompt to begin the task.

Can I use an autonomous coding agent with local LLMs like Ollama?

You can use local LLMs like Ollama with autonomous coding agents because the task delegation supports model-agnostic execution across any LiteLLM-supported provider, including DeepSeek and Anthropic, via configured API credentials.

Do I need a graphical interface to run autonomous coding tasks in the background?

Running autonomous coding tasks in the background requires no graphical interface because the agent operates via headless terminal automation, supporting batch or one-shot execution directly from the command line.

What Python version is required to run terminal-based coding agents?

Terminal-based coding agents require Python 3.12 and the uv package manager to function within a headless terminal environment, alongside appropriate API credentials for the selected LLM provider.

What's the best way to implement a new feature across a large codebase without manual oversight?

Delegating the implementation to an autonomous agent that handles file edits and shell commands independently through terminal-based execution is the best way to implement a new feature across a large codebase without manual oversight.