Do I need specific API keys to use this skill?

The skill requires the corresponding MCP servers (like arxiv-mcp-server and google-scholar) to be configured in your environment to function correctly.

Which academic databases does this skill support?

It supports arXiv, Google Scholar, and bioRxiv, providing comprehensive coverage across physics, mathematics, computer science, and biological sciences.

Can Sibyl Literature Researcher read full-text papers?

Yes, it utilizes MCP servers to not only search for papers but also download and read them to extract specific insights for your research report.

Where does the agent save its findings?

The agent writes its synthesized results directly to a literature.md file within the 'context' folder of your designated workspace.

Sibyl Literature Researcher

Name: Sibyl Literature Researcher
Author: qcai0427

byqcai0427

0•

Ciencia de Datos y ML

Conducts systematic literature reviews by synthesizing data from arXiv, Google Scholar, bioRxiv, and general web searches.

Sibyl Literature Researcher is a specialized agent designed to automate academic and technical background research within the Claude Code environment. By leveraging multiple Model Context Protocol (MCP) servers—including arXiv, Google Scholar, and bioRxiv—it performs deep-dive searches, downloads relevant papers, and fetches web context to provide a comprehensive view of any research topic. The skill automatically organizes its findings into a structured literature.md file, making it an indispensable tool for researchers, data scientists, and developers who need to stay current with scientific literature or identify state-of-the-art methodologies without leaving their terminal.

Características Principales

010 GitHub stars

02Deep integration with arXiv, Google Scholar, and bioRxiv for paper retrieval

03Orchestrated research workflows through the Sibyl-Standard agent tier

04Capabilities to search, download, and read full-text preprints

05Dual-source verification using academic databases and general web search

06Automated summary generation and report writing in Markdown format

Casos de Uso

01Mapping out key authors and foundational papers in a specific scientific niche

02Automating the background research phase for academic publications and technical documentation

03Conducting State-of-the-Art (SOTA) analysis for new machine learning or AI projects

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add qcai0427/sibyl-codex sibyl-literature

For use in Claude.ai and ChatGPT

Características Principales

010 GitHub stars

02Deep integration with arXiv, Google Scholar, and bioRxiv for paper retrieval

03Orchestrated research workflows through the Sibyl-Standard agent tier

04Capabilities to search, download, and read full-text preprints

05Dual-source verification using academic databases and general web search

06Automated summary generation and report writing in Markdown format

Casos de Uso

01Mapping out key authors and foundational papers in a specific scientific niche

02Automating the background research phase for academic publications and technical documentation

03Conducting State-of-the-Art (SOTA) analysis for new machine learning or AI projects