ml-paper-writing

Structure ML/AI paper outlines, abstracts, and citations for conference submissions.

Updated Mar 18, 2026
One-click install
npx skills add https://github.com/tadod12/fraud-detection-research --skill ml-paper-writing-tadod12
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ml-paper-writing
Source: https://github.com/tadod12/fraud-detection-research/tree/main/.agent/skills/20-ml-paper-writing
Command: npx skills add https://github.com/tadod12/fraud-detection-research --skill ml-paper-writing-tadod12

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires semanticscholar, arxiv, habanero, requests.

What problem does it solve?

This skill provides expert-level guidance for writing publication-ready ML/AI/Systems papers, helping researchers structure arguments, verify citations, and prepare camera-ready submissions. It combines philosophy from leading researchers with practical tools like LaTeX templates, citation workflows, and conference checklists.

Core Features & Use Cases

  • Narrative-driven framework (What, Why, So What) to frame research contributions clearly.
  • 5-sentence abstract formula, introduction with 2-4 concrete contribution bullets, and reproducibility guidance.
  • Citation verification workflows, checklists for NeurIPS/ICML/ICLR/ACL/OSDI/NSDI/ASPLOS/SOSP, and LaTeX templates for rapid paper production.
  • Use Case: a researcher drafts a NeurIPS paper from a codebase, then adapts for camera-ready submission with minimal edits.

Quick Start

Draft your first complete paper outline by following the narrative-based structure and generate an abstract, introduction bullets, and a dedicated limitations section.

Frequently Asked Questions about ml-paper-writing

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

FAQPage Schema
How do I structure an ML paper outline for top conferences like NeurIPS or ICML?

To structure an ML paper outline for NeurIPS or ICML, use a narrative-driven framework defining What, Why, and So What. Frame your research with a 5-sentence abstract formula and 2-4 concrete contribution bullets in the introduction.

What is the best way to verify citations for an academic AI research paper?

The best way to verify citations for an academic AI research paper is through dedicated citation verification workflows. These workflows cross-check your references using dependencies like semanticscholar, arxiv, and habanero to ensure accuracy before camera-ready submission.

Does this writing framework support systems venues like OSDI and ASPLOS?

Yes, this writing framework supports major systems venues like OSDI, NSDI, ASPLOS, and SOSP. It provides structured writing guidance, reproducibility requirements, and specific conference checklists tailored for both ML/AI and systems paper submissions.

How do I draft a limitations section for publication-ready machine learning research?

To draft a limitations section for publication-ready machine learning research, follow the structured writing guidance that enforces a dedicated limitations section. This rigorous workflow ensures your research contributions are framed clearly while meeting strict reviewer guidelines.

Can I generate a camera-ready LaTeX paper from a codebase for ICLR or ACL?

Yes, you can generate a camera-ready LaTeX paper from a codebase for ICLR or ACL. The framework provides LaTeX templates and checklists, allowing you to draft your paper and adapt it for camera-ready submission with minimal edits.