One-click install
npx skills add https://github.com/qcmuu/AI-Research-Skills --skill openhands
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: OpenHands
Source: https://github.com/qcmuu/AI-Research-Skills/tree/main/14-agents/openhands
Command: npx skills add https://github.com/qcmuu/AI-Research-Skills --skill openhands

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openhands-ai, docker.

What problem does it solve?

OpenHands solves the problem of turning vague research or engineering goals into working, runnable code without manual step-by-step implementation.

Core Features & Use Cases

  • Autonomous software engineering: Plan tasks, write and refactor code, and manage repositories to complete multi-step deliverables.
  • Sandboxed execution: Run experiments safely inside Docker-based sandboxes while interacting with files and the terminal.
  • Research automation: Implement algorithms, training loops, and benchmarking workflows end-to-end (including generating outputs like plots and result files).
  • GitHub workflows: Create and review PRs and resolve issues to support iterative research development.

Quick Start

Ask OpenHands to implement a GRPO training loop using TRL that loads a base model, defines a format-compliance reward function, runs 100 training steps with metrics logging to W&B, and saves the final checkpoint.

Frequently Asked Questions about OpenHands

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

FAQPage Schema
How do I automate research code implementation from a task description?

Autonomous coding tools like OpenHands transform research task descriptions into runnable code and repository changes. They plan tasks, write algorithms, and execute benchmarking workflows safely inside a Docker sandbox.

Do I need Docker to run autonomous coding agents for research experiments?

Yes, Docker is required to run autonomous coding agents for research experiments. OpenHands uses a sandboxed Docker runtime to safely execute terminal commands, edit files, and validate experiment outputs during the software implementation process.

Can I use multi-LLM agents to manage GitHub pull requests and resolve issues?

Yes, you can use multi-LLM agents to manage GitHub pull requests and resolve issues. OpenHands supports multiple LLM backends to autonomously plan, code, and validate outputs for iterative research development workflows.

How do I autonomously implement a GRPO training loop using TRL?

To autonomously implement a GRPO training loop using TRL, provide a task description to OpenHands. It will write the code to load a base model, define reward functions, run training steps, log metrics to W&B, and save checkpoints.

Does autonomous coding work for repository refactoring and benchmark execution?

Autonomous coding works for repository refactoring and benchmark execution by planning multi-step deliverables. OpenHands safely interacts with files and the terminal inside its sandboxed runtime to complete these end-to-end research automation tasks.

What is the best way to turn vague engineering goals into working code automatically?

The best way to turn vague engineering goals into working code is using autonomous software engineering agents. OpenHands plans tasks, writes and refactors code, and manages repositories to complete multi-step deliverables without manual step-by-step implementation.