One-click install
npx skills add https://github.com/SebastianElvis/reaper --skill reaper
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reaper
Source: https://github.com/SebastianElvis/reaper/tree/main/skills/reaper
Command: npx skills add https://github.com/SebastianElvis/reaper --skill reaper

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, arxiv, requests, beautifulsoup4, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the end-to-end process of conducting rigorous academic research, from goal clarification to literature review, formalization, hypothesis investigation, critique, and report synthesis, reducing manual effort and increasing efficiency.

Core Features & Use Cases

  • Full research pipeline automation: Orchestrates multiple research stages autonomously based on user-defined goals.
  • Multi-stage hypothesis exploration: Generates, investigates, and refines hypotheses through iterative loops.
  • Literature and paper analysis: Integrates literature search, paper summarization, and citation traversal to inform investigations.
  • Use Case: Researchers can input a research question with an optional paper, and Reaper will autonomously produce a detailed research report, saving hours of manual work.

Quick Start

Invoke the /reaper skill with your research goal in quotes, optionally adding a paper path and flags, for example: reaper "investigate quantum cryptography" path/to/paper.pdf --codex

Frequently Asked Questions about reaper

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate literature review and hypothesis investigation for academic research?

You can automate literature review and academic research by orchestrating multiple stages—goal clarification, hypothesis formulation, investigation, and critique—to autonomously generate comprehensive scientific reports.

What is the best way to generate a scientific report from an existing PDF?

To generate a scientific report from an existing PDF, you can input your research question alongside a paper path, allowing the system to integrate PDF analysis and literature search into the final synthesis.

Can I use Python to orchestrate a full research pipeline for a literature review?

Yes, you can use this Python-based AI orchestration pipeline to automate a literature review, utilizing dependencies like arxiv and beautifulsoup4 to fetch sources, analyze papers, and refine hypotheses.

Does the automated research pipeline support parallel hypothesis exploration?

Yes, the automated research pipeline handles multiple research stages in sequence or parallel, enabling iterative loops to generate, investigate, and refine multiple hypotheses simultaneously.

What are the limitations of using AI orchestration for academic research pipelines?

AI orchestration for academic research requires Python3 and specific dependencies like arxiv and requests, meaning it necessitates a configured environment and cannot operate as a standalone web application.

Do I need Python3 and arxiv to automate scholarly research and report synthesis?

Yes, you need Python3 and dependencies including arxiv, requests, and beautifulsoup4 to run the automated scholarly research pipeline and synthesize academic reports.