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research-paper-writing

Automates ML/AI research paper writing from literature review to submission for major conferences.

7|Updated Mar 26, 2026
Search Tags:#research automation#ai research#ml paper writing#neurips#paper pipeline
One-click install
npx skills add https://github.com/kzinmr/ai-topics --skill research-paper-writing-kzinmr
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-paper-writing
Source: https://github.com/kzinmr/ai-topics/tree/main/config/hermes/skills/_overrides/research-paper-writing
Command: npx skills add https://github.com/kzinmr/ai-topics --skill research-paper-writing-kzinmr

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 automates the end-to-end process of writing high-quality ML/AI research papers, making the complex and time-consuming task of paper writing more efficient.

Core Features & Use Cases

  • Full Research Lifecycle: Covers experiment design, execution, analysis, paper writing, review, revision, and submission.
  • Iterative Pipeline: Supports iterative loops for continuous improvement based on feedback.
  • Multi-Phase Workflow: Phase-based structure for project setup, literature review, experiment design, execution, analysis, paper drafting, self-review, submission, and post-acceptance deliverables.
  • Integration with Tools: Integrates with various tools for literature review, experiment execution, and monitoring.

Quick Start

Initialize the research paper writing pipeline for a new project by running the command 'research-paper-writing init'.

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 paper writing for top conferences like NeurIPS or ICML?▼

You can automate ML paper writing by initializing a pipeline that covers literature review, experiment design, execution, analysis, and drafting. This Skill supports iterative loops for continuous improvement and targets conferences like NeurIPS, ICML, ICLR, and ACL.

What is the best way to manage the full research lifecycle for an AI research submission?▼

Managing the full research lifecycle involves a multi-phase workflow from project setup to post-acceptance deliverables. This Skill automates project setup, literature review, experiment execution, paper drafting, self-review, and submission for AI research.

Can I use arxiv and semanticscholar for automated literature review in my paper pipeline?▼

Yes, automated literature review is supported through integration with tools like arxiv and semanticscholar. The pipeline uses these dependencies to search and aggregate references, streamlining the research paper writing process.

How do I run experiment design and analysis for machine learning papers?▼

You can run experiment design and analysis using built-in scripts that leverage scipy, numpy, and matplotlib. The workflow automates execution and generates visualizations with SciencePlots to produce figures for your machine learning papers.

Does this research automation pipeline support iterative revisions based on feedback?▼

Yes, the research automation pipeline supports an iterative workflow for continuous improvement. It enables automated self-review and revision loops, allowing you to refine your paper drafting based on feedback before final submission.

Do I need Python dependencies installed to execute experiment analysis scripts?▼

Yes, you need Python dependencies like requests, habanero, scipy, numpy, and matplotlib installed. These libraries are required to execute the experiment analysis scripts, generate visualizations, and interface with literature search APIs.

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