research-paper-writing

Automate machine learning experiment design by using this Skill to handle data analysis with scipy and numpy, monitor iterative training loops, and generate visualizations with matplotlib. It streamlines the entire research lifecycle from experiment execution to paper drafting.

The best way to conduct an automated literature review is to query semantic scholar and arxiv directly through the Skill. It fetches relevant machine learning papers, extracts references using habanero, and integrates the findings into your drafting process.

Yes, you can use SciencePlots and matplotlib to generate publication-ready figures. The Skill leverages these dependencies to format visual outputs from your numpy and scipy data arrays directly into your research paper drafts.

Prepare a machine learning research paper for submission by running the Skill's end-to-end pipeline. It manages the transition from drafting and revision phases into final formatting, handling complex feedback loops and iterative improvements efficiently for publication.

Yes, you need Python dependencies like requests and habanero installed. The Skill requires access to these libraries to fetch academic metadata, query APIs like semantic scholar, and automate the end-to-end research paper writing pipeline.