research-paper-writing

Plan, draft, revise, and submit ML research papers with reproducibility checklists.

Updated Jun 19, 2026

Search Tags:#citations #checklists #reproducibility #literature-review #paper-writing #ml-research

Ready to run

npx skills add https://github.com/AnandaAnugrahHandyanto/savarez_agent --skill research-paper-writing-anandaanugrahhandyanto

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-paper-writing
Source: https://github.com/AnandaAnugrahHandyanto/savarez_agent/tree/main/skills/research/research-paper-writing
Command: npx skills add https://github.com/AnandaAnugrahHandyanto/savarez_agent --skill research-paper-writing-anandaanugrahhandyanto

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured, end-to-end workflow to plan, draft, revise, and submit ML research papers. It guides the user from initial idea through literature review, experiment design, results analysis, write-up, and compliance checks, reducing manual coordination overhead and improving reproducibility.

Core Features & Use Cases

End-to-end research pipeline: literature review, experiment planning, drafting, and submission readiness.
Reproducibility and checklists: integrates reproducibility guidelines, citation workflows, and venue-specific requirements.
Iterative refinement support: plans revision cycles, manages versions, and coordinates cross-task tasks (design → draft → reviewer responses).
Collaboration readiness: outlines ownership, task assignment, and documentation patterns for multi-author projects.

Quick Start

Outline and draft a NeurIPS-style ML paper using your project materials.

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 the machine learning paper writing process from start to finish?▼

Automating machine learning paper writing involves governing the end-to-end workflow from idea generation to submission, coordinating literature reviews, experiment planning, drafting, and revision cycles within a structured pipeline.

What is the best way to manage reproducibility and citations for an ML research paper?▼

Managing reproducibility and citations for an ML research paper requires integrating reproducibility guidelines, citation workflows, and venue-specific compliance checklists directly into the drafting and revision pipeline.

How do I plan experiment design and literature reviews for a NeurIPS-style submission?▼

Planning experiment design and literature reviews for a NeurIPS-style submission follows a structured workflow that guides you from initial idea through experiment planning, results analysis, and venue-ready compliance checks.

Can I use this workflow to coordinate multi-author ML research projects and task assignments?▼

Yes, you can use this workflow to coordinate multi-author ML research projects by outlining ownership, managing task assignments, and establishing documentation patterns across cross-task design and drafting cycles.

How do I handle iterative refinement and reviewer responses for a machine learning paper?▼

Handling iterative refinement and reviewer responses for a machine learning paper involves planning revision cycles, managing document versions, and coordinating tasks from initial design to drafting and reviewer responses.