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
Scanned 9/9/2026
Install to Claude Code
npx -y skills add ADu2021/skillXiv --skill drpg-decompose-retrieve-plan-generate-an-agentic-f --agent claude-codeInstalls into .claude/skills of the current project.
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---
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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