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rd-agent-guide

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Microsoft AI-driven R&D agent for automated data and model development

skills/research/automation/rd-agent-guide/SKILL.md

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# RD-Agent Guide

## Overview

RD-Agent is an open-source AI-powered research and development automation framework developed by Microsoft Research, with over 12,000 stars on GitHub. It automates key steps in the R&D lifecycle -- including hypothesis generation, experiment design, code implementation, and result analysis -- enabling researchers and data scientists to accelerate their development cycles significantly.

The framework implements a closed-loop R&D automation pipeline where an AI agent iteratively proposes hypotheses, implements experiments, evaluates results, and refines its approach based on feedback. This mirrors the scientific method but operates at machine speed, allowing researchers to explore a much larger space of ideas and configurations than would be feasible manually.

RD-Agent is particularly valuable for researchers working in quantitative finance, data science, and machine learning, where the development process involves iterating on feature engineering, model architectures, and hyperparameter configurations. The framework has demonstrated the ability to autonomously develop competitive machine learning models and trading strategies, achieving results comparable to experienced human practitioners.

## Installation and Setup

```bash
# Clone the repository
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