research-paper-writing

Automate ML/AI research paper lifecycles from literature discovery to submission.

6|Updated Apr 26, 2026

Search Tags:#automation #workflow #research #citations #latex #paper-writing

Ready to run

npx skills add https://github.com/Strategic-Automation/arachne --skill research-paper-writing-strategic-automation

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-paper-writing
Source: https://github.com/Strategic-Automation/arachne/tree/main/src/arachne/skills/default/research/research-paper-writing
Command: npx skills add https://github.com/Strategic-Automation/arachne --skill research-paper-writing-strategic-automation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires semanticscholar, arxiv, habanero, requests, scipy, numpy, matplotlib, SciencePlots.

What problem does it solve?

Automates the creation and coordination of ML/AI research papers, turning scattered notes, results, and drafts into a coherent, submission-ready narrative.

Core Features & Use Cases

Literature discovery & organization: automatically aggregate, categorize, and summarize relevant papers.
Experiment lifecycle tracking: unify design, execution plans, results, and revision history for reproducibility.
Collaborative drafting & review: coordinate author contributions, generate structured drafts, and track feedback across venues.
Reproducibility packaging: produce data snapshots, code references, and figure pipelines to support submission.
Use Case: A team drafts a NeurIPS submission by compiling experiments, logs, and citations from multiple sources into a single manuscript outline.

Quick Start

Provide a topic, target venue, and any results to generate a complete paper scaffold.

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 literature discovery for an ML research paper?▼

You can automate literature discovery by using Semantic Scholar and arXiv to automatically aggregate, categorize, and summarize relevant papers for your ML research paper.

What is the best way to manage reproducible experiments for a LaTeX submission?▼

The best way to manage reproducible experiments for a LaTeX submission is to unify design, execution plans, and results tracking, using plotting tooling like SciencePlots to assemble evidence pipelines.

How do I coordinate multi-author drafting and iterative revisions for a NeurIPS submission?▼

You coordinate multi-author drafting and iterative revisions by tracking author contributions and feedback across venues, compiling logs and citations into a single manuscript outline for a NeurIPS submission.

Does this paper writing workflow integrate with arXiv and Semantic Scholar for citations?▼

Yes, this workflow integrates with arXiv and Semantic Scholar to automatically aggregate sources and manage citations, relying on these services to assemble evidence and generate drafts.

Can I compile data snapshots and code references for reproducibility packaging?▼

Yes, you can compile data snapshots, code references, and figure pipelines to produce reproducibility packaging that supports a submission-ready narrative for your research paper.

What do I need to start generating a complete paper scaffold?▼

To generate a complete paper scaffold, you need to provide a topic, a target venue, and any experimental results to assemble a structured draft and evidence pipeline.