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ml-paper-writing

Structure ML manuscripts for NeurIPS/ICML/ICLR/ACL/AAAI with verified BibTeX citations.

2|Updated Mar 4, 2026
Search Tags:#workflow#reproducibility#latex#academic-writing#citation-verification#ml-papers#conference-checklist
One-click install
npx skills add https://github.com/pengqianhan/open-paper-skills --skill ml-paper-writing-pengqianhan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ml-paper-writing
Source: https://github.com/pengqianhan/open-paper-skills/tree/main/.claude/skills/ml-paper-writing
Command: npx skills add https://github.com/pengqianhan/open-paper-skills --skill ml-paper-writing-pengqianhan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Drafting publication-ready ML papers from research repos is time-consuming and prone to citation errors; this skill provides proactive guidance, templates, and workflows to accelerate writing, ensure factual alignment, and uphold scholarly integrity.

Core Features & Use Cases

  • Narrative-driven drafting: Helps identify a concise one-sentence contribution and translates it into a conference-ready manuscript with a clear What/Why/So What narrative.
  • Cite-verification workflow: Integrates programmatic citation verification with Semantic Scholar and CrossRef to prevent hallucinations and generate validated BibTeX entries.
  • Conference-ready templates & checklists: Produces a complete LaTeX-ready structure (abstract, introduction, methods, experiments, related work, limitations) and enforces reproducibility and ethics guidelines.
  • From repo to draft in minutes: Analyzes repository artifacts (code, results, docs) to draft sections that accurately reflect contributions and experiments with minimal manual input.

Quick Start

Provide your research repository and I will generate a complete, citation-verified ML paper draft.

Frequently Asked Questions about ml-paper-writing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate ML paper drafting from a research repository?▼

To automate ML paper drafting, provide your research repository and the system analyzes code and results to generate a conference-ready manuscript with a clear What/Why/So What narrative.

How do I verify citations and generate BibTeX entries for academic writing?▼

To verify citations for academic writing, the workflow programmatically checks sources via Semantic Scholar and CrossRef to prevent hallucinations and generate validated BibTeX entries.

Can I structure an ML manuscript for specific conferences like NeurIPS or ICML?▼

Yes, you can structure an ML manuscript for target venues like NeurIPS, ICML, ICLR, ACL, or AAAI by generating a complete LaTeX-ready structure with abstract, methods, and reproducibility details.

What is the best way to ensure reproducibility and ethics compliance in ML papers?▼

The best way to ensure reproducibility in ML papers is using automated conference-ready checklists that enforce reproducibility and ethics guidelines alongside the generated LaTeX structure.

Do I need LaTeX to draft publication-ready machine learning papers with this workflow?▼

Yes, LaTeX is required as the workflow outputs a complete LaTeX-ready structure, translating repository artifacts into manuscript sections formatted for target ML conferences.

Why use programmatic citation verification for machine learning papers?▼

Programmatic citation verification for ML papers prevents factual hallucinations by validating references against authoritative databases like Semantic Scholar and CrossRef before generating the final BibTeX.

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