research-paper-writing

Orchestrate ML research paper workflows from literature review to conference submission.

Updated May 1, 2026

Search Tags:#workflow #research #reproducibility #ml #citation-verification #paper-writing

Ready to run

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

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Automates the end-to-end process of producing publication-ready ML/AI research papers, from design through drafting, revision, and submission.

Core Features & Use Cases

Integrated workflow: From literature review to submission, including experiment design, analysis, and writing.
Citation verification: Programmatic retrieval and verification of BibTeX entries to avoid hallucinated citations.
Reproducibility artifacts: Automatically generate and attach logs, data splits, and config for reproducibility.

Quick Start

Initiate a complete paper-writing project by loading the pipeline, setting milestones, and iterating drafts until 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 research paper writing from literature review to submission?▼

Automate ML research paper writing by orchestrating literature review, experiment design, drafting, revision, and conference submission. This pipeline manages iterative cycles from idea generation to final manuscript, targeting ML/AI conferences like NeurIPS, ICML, and ICLR.

Can I verify BibTeX citations programmatically to avoid hallucinated references in my manuscript?▼

Yes, you can verify BibTeX citations programmatically to prevent hallucinated references. The workflow retrieves and validates citation entries automatically using libraries like semanticscholar, arxiv, and habanero to ensure your references are accurate.

How do I generate reproducibility artifacts for machine learning experiments?▼

Generate reproducibility artifacts by automatically attaching logs, data splits, and configuration files to your project. This workflow enforces reproducibility by capturing these artifacts during experiment design and analysis using dependencies like scipy, numpy, and matplotlib.

What is the best way to structure an end-to-end pipeline for NeurIPS or ACL paper submissions?▼

Structure your pipeline by implementing a structured metadata schema and frontmatter requirements for your project. This end-to-end workflow integrates drafting and revision with conference submission formatting for NeurIPS, ACL, ICML, ICLR, AAAI, and COLM.

Do I need Python scientific libraries like scipy and numpy to draft reproducible ML manuscripts?▼

Yes, you need Python scientific libraries like scipy, numpy, and matplotlib to support the pipeline. These dependencies are required for experiment design, data analysis, and generating reproducibility artifacts with SciencePlots visualizations.

Does this paper-writing workflow support iterative drafting cycles before final conference submission?▼

Yes, the paper-writing workflow supports iterative drafting cycles before final conference submission. You initiate a project, set milestones, and iterate on drafts, allowing continuous revision from initial idea through final manuscript and submission.