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research-paper-writing

Automate research paper writing from literature review to analysis.

Updated May 8, 2026
Search Tags:#machine learning#experiment design#AI#research paper#writing assistance
One-click install
npx skills add https://github.com/superfhp/lumi-agent --skill research-paper-writing-superfhp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-paper-writing
Source: https://github.com/superfhp/lumi-agent/tree/main/skills/research/research-paper-writing
Command: npx skills add https://github.com/superfhp/lumi-agent --skill research-paper-writing-superfhp

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 research paper writing process, from literature review and experiment design to analysis and submission.

Core Features & Use Cases

  • Literature Review: Search and verify relevant papers, organize related work, and ensure accurate citations.
  • Experiment Design: Map claims to experiments, design baselines, and define evaluation protocols.
  • Result Analysis: Aggregate results, compute statistics, identify key findings, and create figures.
  • Paper Writing: Iterate through drafts based on analysis, self-reviews, and revisions.

Quick Start

Use the research-paper-writing skill to begin the research paper writing process for your project.

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 review and search for research papers?▼

Automate literature review by searching and verifying relevant papers, organizing related work, and ensuring accurate citations using semanticscholar and arxiv libraries.

What's the best way to design machine learning experiments and map claims to baselines?▼

Design machine learning experiments by mapping claims to experiments, designing baselines, and defining evaluation protocols to ensure robust and verifiable model training.

How do I compute statistics and create figures for my AI research paper?▼

Compute statistics and create figures for AI research papers by aggregating results, identifying key findings, and plotting data using scipy, numpy, matplotlib, and SciencePlots.

Can I use this research paper writing process for fields outside of machine learning?▼

This process is specifically tailored for research in machine learning, AI, and related fields, requiring a comprehensive understanding of research methodology and paper formatting standards.

Do I need Python data analysis libraries to write and iterate through research paper drafts?▼

Yes, writing and iterating through research paper drafts requires libraries for data analysis, model training, and natural language processing to automate the full writing process.

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