ml-paper-writing

Automate literature review, citation verification, and LaTeX template integration for ML/AI conference papers.

3|Updated Apr 17, 2026

Search Tags:#acl #ml paper writing #neurips #conference papers #icml #iclr #colm #aaaai

Ready to run

npx skills add https://github.com/RamanEbrahimi/raman-marketplace --skill ml-paper-writing-ramanebrahimi

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ml-paper-writing
Source: https://github.com/RamanEbrahimi/raman-marketplace/tree/main/plugins/agentic-research/skills/ml-paper-writing
Command: npx skills add https://github.com/RamanEbrahimi/raman-marketplace --skill ml-paper-writing-ramanebrahimi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires semanticscholar, arxiv, habanero, requests, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill empowers researchers to produce publication-ready ML/AI papers targeting leading conferences with precision and efficiency, significantly reducing the time and effort spent on the arduous paper writing process.

Core Features & Use Cases

Understanding the Research Project: Extract key information, including research contributions and objectives, directly from the source repository.
Literature Review & Citations: Automated literature search and citation verification using semantic APIs and pre-existing references.
LaTeX Template Integration: Use ready-to-go LaTeX templates specific to NeurIPS, ICML, ICLR, ACL, AAAI, and COLM for a professional look and standard compliance.
Workflows & Iterations: Step-by-step guidelines and tools to iterate through the paper writing process efficiently.

Quick Start

Use the ml-paper-writing skill to generate a complete first draft of a NeurIPS paper from the provided research repository 'neurips_paper_repo'.

Frequently Asked Questions about ml-paper-writing

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

FAQPage Schema

How do I automate literature review and citation verification for ML conference papers?▼

Automate literature review for ML conference papers by using semantic search APIs to find relevant papers and verify citations. The system extracts research contributions and generates verified BibTeX entries directly from source repositories.

Can I generate a complete first draft for NeurIPS or ICML from my research repository?▼

Yes, you can generate a complete first draft for NeurIPS or ICML from your research repository. The workflow extracts key project information and integrates ready-to-go LaTeX templates to ensure standard compliance and professional formatting.

Do I need specific APIs to integrate arxiv and semantic scholar for paper writing?▼

Yes, you need APIs for semantic search and BibTeX generation to integrate arxiv and semantic scholar. These dependencies enable automated literature search, citation verification, and metadata extraction during the paper writing workflow.

What is the best way to ensure LaTeX template compliance for ACL, ICLR, or AAAI formats?▼

The best way to ensure LaTeX template compliance for ACL, ICLR, or AAAI formats is using built-in templates specific to each conference. The system provides ready-to-go templates and writing guidelines to maintain strict formatting standards.

How does citation verification work when writing ML/AI conference papers?▼

Citation verification works by cross-referencing proposed citations against semantic APIs and pre-existing references. It validates metadata accuracy and generates correct BibTeX entries to ensure all citations in ML/AI conference papers meet academic standards.

Are there limitations when extracting research contributions directly from a source repository?▼

Limitations when extracting research contributions from a source repository include dependency on clear project documentation and valid API access for semantic search. Ambiguous repository structures may require manual clarification before generating the paper draft.