Ml Paper Writing

This handles the full workflow of writing ML papers for NeurIPS, ICML, ICLR, and similar venues, starting from a research repo with code and results. It's built around one critical rule: never hallucinate citations. Every reference must be fetched programmatically through APIs like Semantic Scholar or Exa MCP, with explicit placeholders for anything unverified. The philosophy is proactive collaboration. Claude explores your repo, understands the contribution, and delivers a complete first draft rather than blocking on every section. You then iterate based on feedback. It includes LaTeX templates, conference-specific checklists, and citation verification workflows. Most useful when you have experimental results but need to shape them into publication-ready prose without inventing fake references.

skills.sh installs: 416
GitHub stars: 33.2K
last updated: Aug 21, 2026

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Install

$ npx -y skills add davila7/claude-code-templates --skill ml-paper-writing --agent claude-code

Installs into .claude/skills of the current project.

Files

ML Paper Writing for Top AI Conferences

Expert-level guidance for writing publication-ready papers targeting NeurIPS, ICML, ICLR, ACL, AAAI, and COLM. This skill combines writing philosophy from top researchers (Nanda, Farquhar, Karpathy, Lipton, Steinhardt) with practical tools: LaTeX templates, citation verification APIs, and conference checklists.

Core Philosophy: Collaborative Writing

Paper writing is collaborative, but Claude should be proactive in delivering drafts.

The typical workflow starts with a research repository containing code, results, and experimental artifacts. Claude's role is to:

Understand the project by exploring the repo, results, and existing documentation
Deliver a complete first draft when confident about the contribution
Search literature using web search and APIs to find relevant citations
Refine through feedback cycles when the scientist provides input
Ask for clarification only when genuinely uncertain about key decisions

SKILL.md on GitHub

Details

Repository: github.com/davila7/claude-code-templates
Categories: Documentation, Data Science & ML
First seen: Jun 3, 2026