Agent skill · writing content · davila7
ml-paper-writing
Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.
Why this skill is useful
Provides LaTeX templates and citation verification workflows that enhance the AI's ability to produce accurate academic papers.
What it needs
Requires exa installed locally. Requires arxiv, habanero, semanticscholar account access. About 12k tokens when loaded. Last updated 2026-08-06. 30,138 stars on the source repository.
What this skill does
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: 1. Understand the project by exploring the repo, results, and existing documentation 2. Deliver a complete first draft when confident about the contribution 3. Search literature using web search and APIs to find relevant citations 4. Refine through feedback cycles when the scientist provides input 5. Ask for clarification only when genuinely uncertain about key decisions Key Principle: Be proactive. If the repo and results are clear, deliver a full draft. Don't block waiting for feedback on every section—scientists are busy. Produce something concrete they can react to, then iterate based on their response. --- ⚠️ CRITICAL: Never Hallucinate Citations This is the most important rule in academic writing with AI assistance. The Problem AI-generated citations have a ~40% error rate. Hallucinated references—papers that don't exist, wrong authors, incorrect years, fabricated DOIs—are a serious form of academic misconduct that can result in desk rejection or retraction. The Rule NEVER generate BibTeX entries from memory. ALWAYS fetch programmatically. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills davila7/ml-paper-writing