# Drpg Decompose Retrieve Plan Generate An Agentic F

> 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

- Skill: `adu2021/drpg-decompose-retrieve-plan-generate-an-agentic-f` (Agent Skill)
- Install (CLI): `npx skillmds@latest add adu2021/drpg-decompose-retrieve-plan-generate-an-agentic-f`
- Raw SKILL.md: https://api.skillmd.com/api/skills/adu2021/drpg-decompose-retrieve-plan-generate-an-agentic-f/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- License: MIT
- Author: adu2021 (https://skillmd.com/u/adu2021)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/adu2021/drpg-decompose-retrieve-plan-generate-an-agentic-f

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## 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).