ml-paper-writing

Draft machine learning papers with LaTeX templates and verified citations.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/kwasi-cpu/hermes-agent --skill ml-paper-writing-kwasi-cpu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ml-paper-writing
Source: https://github.com/kwasi-cpu/hermes-agent/tree/main/skills/research/ml-paper-writing
Command: npx skills add https://github.com/kwasi-cpu/hermes-agent --skill ml-paper-writing-kwasi-cpu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires semanticscholar, arxiv, habanero, requests, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of writing high-quality machine learning papers for top AI conferences, from initial research repository analysis to final camera-ready submissions.

Core Features & Use Cases

  • Drafting Assistance: Generates complete paper drafts, section by section, based on research repositories and iterative feedback.
  • Citation Management: Programmatically finds, verifies, and formats citations to prevent hallucinations.
  • Conference Compliance: Utilizes official LaTeX templates and adheres to specific conference requirements (NeurIPS, ICML, ICLR, ACL, AAAI, COLM).
  • Use Case: Start with a GitHub repository containing experimental code and results, and use this Skill to produce a draft paper for NeurIPS, including verified citations and correct LaTeX formatting.

Quick Start

Use the ml-paper-writing skill to draft an introduction for a paper based on the provided research repository.

Frequently Asked Questions about ml-paper-writing

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

FAQPage Schema
How do I draft a machine learning paper from a GitHub research repository?

To draft a machine learning paper from a GitHub repository, use this Skill to analyze your experimental code and results, then generate a structured, section-by-section publication-ready draft.

Can I automatically verify citations to prevent hallucinations in academic writing?

You can automatically verify citations to prevent hallucinations in academic writing by integrating Semantic Scholar and CrossRef APIs to programmatically find, verify, and format references.

Does this tool provide official LaTeX templates for NeurIPS, ICML, and ICLR submissions?

Yes, this tool provides official LaTeX templates and enforces conference compliance for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM to help you prepare camera-ready submissions.

What is the best way to structure arguments for an ML conference paper?

The best way to structure arguments for an ML conference paper is to use structured guidance that iteratively builds your draft section by section based on your experimental results and feedback.

Do I need Semantic Scholar and arxiv dependencies to format research workflows?

You need Semantic Scholar and arxiv dependencies to support the research workflow, enabling automated citation verification and literature search directly during the paper drafting process.

What are the limitations of using automated drafting for camera-ready ML submissions?

Automated drafting for camera-ready ML submissions requires your iterative feedback to refine arguments, and relies entirely on external API availability for accurate citation verification.