deepxiv-baseline-table

What problem does it solve?

This skill automates turning topic searches into structured markdown baseline tables that compare papers by title, URL, open-source status, datasets, benchmarks, and scores.

Core Features & Use Cases

• Topic-to-table workflow: convert a research topic into a markdown baseline table by orchestrating a DeepXiv search, brief, head, and targeted section reads.
• Data capture and organization: extract titles, arXiv/url, GitHub/code presence, datasets, evaluation metrics, and scores to a compact table.
• Use Case: produce a concise baseline summary for a literature survey, benchmark comparison, or method evaluation across papers.

Quick Start

Run the workflow: search a topic with deepxiv, brief candidates, inspect the head sections, and assemble a markdown baseline table.