scholar-writing

To convert a research repository into a publication-ready LaTeX paper, this Skill analyzes your codebase to identify main contributions, drafts each section, verifies citations, and assembles the manuscript using venue-specific LaTeX templates.

Drafting an ML manuscript without inventing references is handled by this Skill through citation verification, replacing placeholder tags with validated sources, and building a clean bibliography to ensure all references are real and accurate.

Formatting a research paper to meet conference page limits and compilation rules is achieved by applying venue-specific LaTeX templates, checking final page counts, and verifying that the manuscript compiles successfully before submission.

Yes, you can use scholar-writing to analyze an experimental ML or AI codebase and produce a complete, NeurIPS-ready paper draft with structured sections, verified citations, and compliant LaTeX formatting.

Yes, this academic writing workflow applies anti-AI polishing during manuscript drafting to refine the narrative, ensuring the final research paper reads naturally and meets standard academic publication expectations.

Automated repo-to-paper planning relies on analyzing the provided research repository structure and code, so the quality of the generated manuscript draft and extracted narrative contributions depends entirely on the completeness and clarity of the original codebase.