
Ml Paper Writing
This handles the full lifecycle of writing papers for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM. It starts from your research repo, explores your code and results, then produces complete first drafts instead of asking permission for every section. The core philosophy is proactive: Claude should deliver something concrete you can react to, not block on clarifications. The most important rule here is citation handling. It never generates BibTeX from memory and integrates with Semantic Scholar, arXiv, and optionally Exa MCP to verify every reference programmatically. Includes LaTeX templates, conference checklists, and writing philosophy from researchers like Karpathy and Steinhardt. If you're targeting systems venues like OSDI or SOSP, use systems-paper-writing instead.
- skills.sh installs
- 2.5K
- GitHub stars
- 14.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add orchestra-research/ai-research-skills --skill ml-paper-writing --agent claude-codeInstalls 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, 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.
For systems venues (OSDI, NSDI, ASPLOS, SOSP), use the systems-paper-writing skill, which provides paragraph-level structural blueprints, writing patterns, venue-specific checklists, and LaTeX templates for systems conferences.
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:
Sponsors
Details
- Repository
- github.com/orchestra-research/ai-research-skills
- Categories
- Documentation, AI & Agent Building, Data Science & ML
- First seen
- Jun 3, 2026
More from orchestra-research/ai-research-skills
All 95- Brainstorming Research Ideas1.3K
- Academic Plotting1.3K
- Creative Thinking For Research1.3K
- Mlflow1.1K
- Serving Llms Vllm1.1K
- Faiss1.1K
- Stable Diffusion Image Generation1.1K
- Tensorrt Llm1.1K
- Autoresearch1.1K
- Peft Fine Tuning1.1K
- Audiocraft Audio Generation1.1K
- Gguf Quantization1.1K
- Ray Train1.1K
- Weights And Biases1.1K
- Segment Anything Model1.1K
- Unsloth1K
- Crewai Multi Agent1K
- Evaluating Llms Harness1K
- Huggingface Accelerate1K
- Whisper1K
- Prompt Guard1K
- Knowledge Distillation1K
- Ray Data1K
- Fine Tuning With Trl1K