What problem does it solve? Writing a publication-ready ML/AI paper involves coordinating experiments, verified citations, statistical analysis, LaTeX formatting, and venue-specific requirements—this Skill orchestrates that entire iterative lifecycle so nothing falls through the cracks. ## Core Features & Use Cases - Full Research Pipeline: Covers project setup, literature review, experiment design, execution monitoring, statistical analysis, drafting, self-review, and submission for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM. - Citation Verification Workflow: Fetches BibTeX programmatically via Semantic Scholar, CrossRef, and arXiv APIs to prevent hallucinated references, marking unverifiable ones as placeholders. - Venue Templates & Checklists: Ships official LaTeX templates and mandatory checklist requirements (NeurIPS 16-item checklist, ACL Limitations section, ICLR LLM disclosure) to avoid desk rejection. - Use Case: A researcher with experimental results asks the agent to draft an ICML submission; the Skill maps claims to experiments, verifies every citation, generates booktabs tables and colorblind-safe PDF figures, and runs a simulated reviewer pass before submission. ## Quick Start Use the research-paper-writing skill to turn my experiment results in the results/ folder into a draft ICML paper with verified citations and submission-ready formatting.