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Drpg Decompose Retrieve Plan Generate An Agentic F

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Implement techniques from DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal. Despite the growing adoption of large language models (LLMs) in scientific research workflows, automated support for academic rebuttal, a crucial step in academic communication and peer review, remains largely underexplored

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  • Added September 9, 2026
research

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A100/100

Scanned September 9, 2026

npx -y skills add ADu2021/skillXiv --skill drpg-decompose-retrieve-plan-generate-an-agentic-f --agent claude-code

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SKILL.md
---
name: drpg-decompose-retrieve-plan-generate-an-agentic-f
title: "DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal"
version: 0.0.2
engine: skillxiv-v0.0.2-claude-opus-4.6
license: MIT
url: "https://arxiv.org/abs/2601.18081"
keywords: ["agent", "model", "framework"]
description: "Implement techniques from DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal. Despite the growing adoption of large language models (LLMs) in scientific research workflows, automated support for academic rebuttal, a crucial step in academic communication and peer review, remains largely underexplored"
---

## Overview

This skill implements concepts from the research paper [[2601.18081](https://arxiv.org/abs/2601.18081)].

## When to Use

- When you need to implement techniques described in this paper
- When working on problems that this research addresses
- When you want to understand the core concepts and methodology

## When NOT to Use

- This skill provides research-level insights; production implementations may require additional engineering
- Some concepts may require significant tuning for specific use cases
- Always evaluate applicability to your specific problem domain

## Key Concepts

The paper addresses: Despite the growing adoption of large language models (LLMs) in scientific research workflows, automated support for academic rebuttal, a crucial step in academic communication and peer review, remains largely underexplored. Existing approaches typic...

For detailed methodology, refer to the [full paper](https://arxiv.org/html/2601.18081).

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