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research-paper-writing

Automate research paper writing from literature review to submission for AI and ML.

Updated Apr 29, 2026
Search Tags:#AI writing#academic writing#research paper#end-to-end automation#ML research
One-click install
npx skills add https://github.com/fikriaf/agentos --skill research-paper-writing-fikriaf
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-paper-writing
Source: https://github.com/fikriaf/agentos/tree/main/src/agentos/skills/research/research-paper-writing
Command: npx skills add https://github.com/fikriaf/agentos --skill research-paper-writing-fikriaf

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 simplifies the complex process of writing research papers in the fields of ML/AI, providing an end-to-end pipeline for every stage from experiment design to submission.

Core Features & Use Cases

  • End-to-End Pipeline: Manages every aspect of research paper writing, including literature review, experiment design, analysis, drafting, revision, and submission.
  • Automated Experiment Monitoring: Monitors experiments and manages analysis and feedback loops.
  • Integration: Integrates with existing codebases and datasets, supporting NeurIPS, ICML, ICLR, ACL, AAAI, and COLM conferences.
  • Use Case: If you are starting a new ML/AI research paper and need a systematic approach to ensure high-quality and efficient output, this Skill can be a game-changer.

Quick Start

Use the research-paper-writing skill to generate a draft for a new paper on "The impact of AI on climate change" based on existing data and experiments.

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 end-to-end research paper writing for ML and AI?▼

Automating end-to-end research paper writing involves using an AI-driven pipeline to manage literature review, experiment design, analysis, drafting, and submission. This Skill integrates these stages to streamline ML and AI research outputs.

Can I integrate my existing codebases and datasets for automated experiment monitoring?▼

Yes, the Skill integrates with existing codebases and datasets to monitor experiments. It manages analysis and feedback loops automatically, ensuring your research paper drafting is supported by actual experimental data.

Does this research pipeline support formatting for specific ML conferences like NeurIPS and ICML?▼

Yes, the pipeline supports formatting and submission integration for major ML and AI conferences including NeurIPS, ICML, ICLR, ACL, AAAI, and COLM. This ensures your drafted papers meet specific venue requirements for submission.

What academic resources and dependencies do I need to perform an automated literature review?▼

To perform an automated literature review, you need access to academic resources like arXiv and Semantic Scholar. The pipeline requires dependencies such as semanticscholar, arxiv, habanero, scipy, numpy, and matplotlib to fetch and analyze papers.

How do I generate a research paper draft based on existing experimental data?▼

You generate a research paper draft by feeding existing experimental data and research topics into the AI pipeline. The Skill automates result analysis and structures the drafting phase to produce a coherent academic paper.

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