research-paper-writing

Coordinate ML research paper lifecycles with experiment logging and LaTeX generation.

1|Updated May 12, 2026
One-click install
npx skills add https://github.com/projectedanx/hermes-agent --skill research-paper-writing-projectedanx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-paper-writing
Source: https://github.com/projectedanx/hermes-agent/tree/main/skills/research/research-paper-writing
Command: npx skills add https://github.com/projectedanx/hermes-agent --skill research-paper-writing-projectedanx

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 streamlines the complex, iterative lifecycle of ML/AI research, from initial experiment design to final paper 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, analysis, and paper drafting.
  • Verified Citation Management: Programmatically fetches and validates BibTeX entries to eliminate citation hallucinations.
  • Use Case: Use this Skill to manage a NeurIPS submission by coordinating experiment runs, tracking compute budgets, and generating a grounded, evidence-based draft.

Quick Start

Use the research-paper-writing skill to initialize a new project workspace and create a structured TODO list for your upcoming ICML submission.

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 ML experiment design and paper writing for conference submissions?

Iterative research loops coordinate experiment design and execution with paper drafting, ensuring your ML results directly drive the narrative and claims in your LaTeX document.

How do I prevent hallucinated citations in a machine learning research paper?

Verified citation management programmatically fetches and validates BibTeX entries against Semantic Scholar and arXiv, eliminating citation hallucinations in your research paper.

Can I use this workflow to track compute budgets for an ICML submission?

This workflow supports AI conference submissions like ICML by integrating experiment monitoring with structured logging to ensure reproducibility and accurate compute budget tracking.

Does this pipeline support LaTeX document generation and matplotlib plotting?

The pipeline supports LaTeX-based document generation and uses matplotlib with SciencePlots to integrate experimental data plots directly into your research paper drafts.

What is the best way to ensure reproducibility in AI research experiments?

Structured experiment logging and programmatic citation verification ensure reproducibility by keeping experiment narratives and paper claims aligned with your verified results.

Do I need Semantic Scholar and arXiv access to verify BibTeX entries?

You need Semantic Scholar and arXiv API access to programmatically fetch and validate references, ensuring every BibTeX citation in your research paper is accurate and grounded.