Individual skill
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.
cli-tool/components/skills/ai-research/ml-paper-writing/SKILL.md
Source commit ad81bf053f80b626801decf425f501ba49983d98
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- Observed behavior
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- Last checked
- Nov 4, 2026
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Repository context
- Repository stars (not skill ratings)
- 33,193
- Repository last updated
- Nov 7, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- anthropic Repository topic
- anthropic-claude Repository topic
- claude Repository topic
- claude-code Repository topic
- agent-skills Repository topic
- ai-agents Repository topic
- claude-code-plugins Repository topic
- cli Repository topic
- mcp Repository topic
- registry Repository topic
- academic-writing Declared skill tag
- neurips Declared skill tag
- icml Declared skill tag
- iclr Declared skill tag
- acl Declared skill tag
- aaai Declared skill tag
- colm Declared skill tag
- latex Declared skill tag
- paper-writing Declared skill tag
- citations Declared skill tag
- research Declared skill tag
- research Derived category
- writing Derived category
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Read excerpt
# 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