research-paper-writing

Automate machine learning research paper writing from setup to submission.

Updated May 11, 2026
One-click install
npx skills add https://github.com/richardnguyen0715/keep-it-real --skill research-paper-writing-richardnguyen0715
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-paper-writing
Source: https://github.com/richardnguyen0715/keep-it-real/tree/main/refer-projects/hermes-agent/skills/research/research-paper-writing
Command: npx skills add https://github.com/richardnguyen0715/keep-it-real --skill research-paper-writing-richardnguyen0715

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 end-to-end process of writing research papers in the field of machine learning and artificial intelligence, including design, submission, and iterative improvement.

Core Features & Use Cases

  • Project Setup: Automate the organization and initialization of a research project, including workspace setup, version control, and contribution identification.
  • Literature Review: Facilitate comprehensive literature review, including paper discovery, related work identification, and citation verification.
  • Experiment Design & Execution: Assist in designing and executing experiments, including mapping claims to experiments, defining baselines, and evaluating results.
  • Result Analysis: Analyze experimental results, compute statistics, and identify the story, preparing figures and tables for inclusion in the paper.
  • Paper Writing: Support paper writing through structured templates and iterative refinement using the autoreason methodology.
  • Use Case: Imagine you are developing a new machine learning model and want to write a paper on it. Use this Skill to guide you through each step of the process, from project setup to submission.

Quick Start

Use the research-paper-writing skill to start a new project on the topic of "Exploring the effectiveness of X in Y".

Frequently Asked Questions about research-paper-writing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does the autoreason methodology refine research paper writing?

The autoreason methodology refines research paper writing through iterative structural improvements. It supports the drafting process by applying logical reasoning to ensure your arguments and claims are robust and well-supported.

How do I automate literature review for a machine learning research paper?

Automate literature review by discovering relevant papers and verifying citations through integrated Semantic Scholar, arXiv, and Crossref searches. This streamlines the identification of related work and ensures your references are accurate and comprehensive.

What is the best way to design and execute ML experiments for a research paper?

Design and execute ML experiments by mapping claims to specific tests, defining baselines, and evaluating results computationally. This ensures your experimental setup directly validates your research hypotheses and yields statistically sound conclusions.

How do I analyze experimental results and create figures for an ML paper?

Analyze ML experiment results by computing statistics with SciPy and NumPy, and generating publication-ready figures using Matplotlib and SciencePlots. This helps identify the core narrative and prepares visual data for your paper.

Do I need Python libraries installed to automate research paper writing?

Yes, full functionality requires installing dependencies like semanticscholar, arxiv, habanero, scipy, numpy, matplotlib, and SciencePlots. These libraries enable automated literature search, experiment execution, and result analysis.

How does the autoreason methodology refine research paper writing?

The autoreason methodology refines research paper writing through iterative structural improvements. It supports the drafting process by applying logical reasoning to ensure your arguments and claims are robust and well-supported.