What problem does it solve?
Writing a publication-ready ML/AI research paper for top conferences like NeurIPS, ICML, or ICLR requires coordinating experiments, citations, figures, and formatting across a complex, iterative workflow that is error-prone and time-consuming when done manually.
Core Features & Use Cases
- Full Research Lifecycle: Covers experiment design, execution, monitoring, analysis, paper drafting, self-review, revision, and submission in one unified pipeline.
- Citation Verification: Programmatic citation fetching via Semantic Scholar, CrossRef, and arXiv APIs with mandatory 5-step verification to prevent AI-generated hallucinations.
- Conference Templates: Includes official LaTeX templates for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM with compilation instructions and formatting checklists.
- Use Case: A researcher with existing code and results can use this skill to automatically generate a structured paper draft, verify all citations, create publication-ready figures, and prepare a submission-ready LaTeX document.
Quick Start
Use the research-paper-writing skill to generate a complete first draft of your ML paper by providing your experimental results and the one-sentence contribution statement.