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.