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读论文不是做学术，是猎取思想。把别人的发现拆解成自己能用的认知。

Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server.

This skill provides comprehensive tools for AI engineers and researchers to publish, manage, and link research papers on the Hugging Face Hub. It streamlines the workflow from paper creation to publication, including integration with arXiv, model/dataset linking, and authorship management.

This skill helps economists draft, structure, and polish academic papers with proper conventions for economics journals. It provides templates for different paper types and guidance on academic writing style.

This skill enables the transformation of academic papers into multiple promotional and presentation formats using the Paper2All autonomous pipeline. The system converts research papers (LaTeX or PDF) into three primary outputs:

Section titles should have consistent capitalization.

Fetch and summarize arxiv papers from their LaTeX source code. \n \n Normalizes arxiv URLs to source format (/src/), downloads .tar.gz archives, and unpacks them locally with caching to avoid re-downloads \n Locates the LaTeX entrypoint (main.tex or equivalent) and recursively reads all relevant source files to reconstruct the full paper \n Generates markdown summaries in the local knowledge directory with contextual tags, designed for integration with the nanochat project \n Includes guidance f

Turn a research paper into an interactive marimo notebook. For general marimo notebook conventions (cell structure, PEP 723 metadata, output rendering, marimo check, variable naming, etc.), refer to the marimo-notebook skill.