research-paper-writing

Name: research-paper-writing
Availability: InStock
Author: liumeixin

Automate experiment monitoring, statistical analysis, iterative writing, and citation verification for ML/AI papers.

4|Updated May 14, 2026

Search Tags:#machine learning #experiment design #statistical analysis #research paper #artificial intelligence

Ready to run

npx skills add https://github.com/liumeixin/hermes-skills --skill research-paper-writing-liumeixin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-paper-writing
Source: https://github.com/liumeixin/hermes-skills/tree/main/research/research-paper-writing
Command: npx skills add https://github.com/liumeixin/hermes-skills --skill research-paper-writing-liumeixin

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill takes the pain out of writing ML/AI research papers, streamlining the entire process from experiment design through analysis, drafting, revision, and submission.

Core Features & Use Cases

End-to-end Pipeline: Covers all stages of paper writing, from design to submission.
Integration: Automates experiment monitoring, statistical analysis, iterative writing, and citation verification.
Customization: Supports NeurIPS, ICML, ICLR, ACL, AAAI, COLM, and integrates with LaTeX for formatting.
Use Case: Imagine you're starting a new paper on a machine learning technique. Use this Skill to design your experiments, run them, analyze the results, and draft your paper, all with minimal manual effort.

Quick Start

Use the research-paper-writing skill to design and run experiments for your paper on the "transformer attention mechanism" and generate a summary of the results.

Frequently Asked Questions about research-paper-writing

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

FAQPage Schema

How do I automate statistical analysis for machine learning research papers?▼

Automating statistical analysis for machine learning research papers involves using Python libraries like scipy and numpy to process experimental data and generate visualizations with matplotlib. This pipeline integrates data analysis directly into the writing workflow.

What is the best way to write an AI research paper for NeurIPS or ICML?▼

Writing an AI research paper for NeurIPS or ICML is best handled through an end-to-end pipeline that covers experiment design, automated monitoring, iterative drafting, and citation verification, formatted with LaTeX integration.

Can I verify citations from arXiv and Semantic Scholar automatically?▼

Verifying citations from arXiv and Semantic Scholar automatically is possible using Python requests and the habanero library. The pipeline fetches and checks references to ensure accuracy during the iterative writing process.

Does this research paper pipeline support LaTeX formatting for ACL and AAAI?▼

Yes, this research paper pipeline supports LaTeX formatting for ACL and AAAI submissions. It integrates formatting directly into the drafting and revision stages to produce submission-ready documents.

What Python libraries do I need for machine learning experiment design and analysis?▼

For machine learning experiment design and analysis, you need scipy, numpy, matplotlib, and SciencePlots for data processing and visualization. Additionally, semanticscholar, arxiv, habanero, and requests manage reference fetching.

When should I not use an automated pipeline for research paper writing?▼

You should not use an automated pipeline for research paper writing when your work falls outside machine learning and artificial intelligence domains, or when your target venue is not NeurIPS, ICML, ICLR, ACL, AAAI, or COLM.