research-paper-writing

Automate your literature review by using this Skill to retrieve data from Semantic Scholar and arXiv, verify citations, and organize related work for AI conference papers.

Design experiments and generate scientific visualizations by leveraging this Skill's integrated Python libraries, including SciPy, NumPy, and Matplotlib with SciencePlots, to analyze data and create publication-ready figures for NeurIPS submissions.

Yes, you need Python installed along with scientific libraries like SciPy, NumPy, and Matplotlib, because the Skill uses these dependencies to perform statistical analysis and generate visualizations for your paper.

Yes, you can draft paper sections and prepare responses to reviewer comments, as the workflow handles the full research lifecycle including drafting, responding to reviews, and preparing final submissions for AI conferences like ICML and ICLR.

The workflow handles academic data retrieval by accessing Semantic Scholar and arXiv programmatically through Python requests, automating the extraction of literature needed for baseline comparisons and structured paper outlines.

A key limitation is its reliance on external API access to Semantic Scholar and arXiv for data retrieval, meaning the workflow requires stable network connectivity and valid API endpoints to function properly for literature search and citation verification.