What problem does it solve? Producing a publication-ready ML paper requires coordinating literature review, experiment design, statistical analysis, LaTeX writing, citation verification, and venue-specific formatting—an iterative process where results trigger new experiments and reviews trigger revisions. This Skill provides an end-to-end pipeline that manages that full lifecycle without hallucinated citations or unsupported claims. ## Core Features & Use Cases - Full Research Lifecycle: Covers project setup, iterative literature search, claim-to-experiment mapping, monitored execution, statistical analysis (McNemar's test, bootstrapped CIs, Cohen's h), drafting, self-review, and submission prep. - Verified Citations: Enforces a mandatory 5-step programmatic citation workflow using Semantic Scholar, CrossRef, and arXiv APIs so no BibTeX entry is generated from memory. - Venue Templates & Checklists: Ships official LaTeX templates for ICML 2026, ICLR 2026, NeurIPS 2025, ACL, AAAI 2026, and COLM 2025, plus the mandatory NeurIPS 16-item checklist and per-venue requirements. - Use Case: A researcher with an existing codebase asks the agent to turn their results into an ICML submission—the Skill designs the experiments, runs them with crash-recovery and cron monitoring, writes the draft in the official template, simulates reviewers, and prepares the final PDF. ## Quick Start Use the research-paper-writing skill to turn the experiments in this repository into a draft paper targeting ICML 2026.