research-paper-writing

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

Automate ML research paper writing with experiment tracking and verified citations.

1|Updated Jul 31, 2026

Search Tags:#research #machine learning #citations #latex #experiment tracking #paper writing

Ready to run

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

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the complex, iterative lifecycle of ML research, from initial experiment design and literature review to final paper drafting and submission, preventing common pitfalls like hallucinated citations and disconnected experiment narratives.

Core Features & Use Cases

Iterative Research Loop: Manages the feedback cycle between experiment results, self-review, and paper revisions.
Verified Citation Management: Programmatically fetches and validates BibTeX entries to eliminate citation hallucinations.
Use Case: Use this Skill to manage a NeurIPS submission by tracking experiment compute budgets, automating the literature search, and ensuring all claims are backed by verified statistical analysis.

Quick Start

Use the research-paper-writing skill to initialize a new project workspace and generate a TODO list for your current ML research idea.

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 the machine learning research paper writing lifecycle for conference submissions?▼

Automating the machine learning research paper writing lifecycle involves integrating experiment tracking, literature review, and manuscript drafting. This Skill manages iterative feedback loops between empirical results and narrative development for venues like NeurIPS, ICML, and ICLR.

How do I prevent hallucinated citations when drafting a research paper in LaTeX?▼

To prevent hallucinated citations when drafting a research paper, this Skill programmatically fetches and validates BibTeX entries using dependencies like Semantic Scholar and arXiv, ensuring all references are verified and eliminating fabricated citations.

What is the best way to manage iterative feedback loops between experiment tracking and paper revisions?▼

Managing iterative feedback loops between experiment tracking and paper revisions requires structured experiment logging and self-review cycles. This Skill synchronizes empirical results with manuscript narrative development to ensure all claims are backed by verified statistical analysis.

Can I use this Skill to automate literature search and statistical analysis for a NeurIPS submission?▼

Yes, you can use this Skill to automate literature search and statistical analysis for a NeurIPS submission. It fetches verified references via Semantic Scholar and arXiv, and utilizes SciPy and NumPy to ensure claims are backed by validated empirical data.

Does this research paper pipeline generate matplotlib plots formatted for machine learning conference venues?▼

Yes, the research paper pipeline generates matplotlib plots formatted for machine learning conferences using the SciencePlots dependency. This ensures visualizations meet the stylistic and reproducibility standards required for academic manuscript drafting.

Why does my research paper narrative disconnect from my empirical experiment results?▼

Your research paper narrative disconnects from empirical results when lacking structured experiment logging and iterative reviews. This Skill enforces programmatic claim verification and compute budget tracking to maintain alignment between empirical findings and manuscript claims.