What problem does it solve?
This Skill helps researchers turn an idea, codebase, or partial draft into a publication-ready ML or AI paper without losing the thread between experiments, citations, and venue requirements.
Core Features & Use Cases
- End-to-End Paper Workflow: Covers project setup, literature review, experiment design, execution monitoring, analysis, drafting, revision, and submission.
- Research-Grade Guardrails: Emphasizes verified citations, reproducible experiments, structured experiment logs, and reviewer-aware writing.
- Venue-Specific Support: Helps adapt papers for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM, including templates, checklists, limitations, and broader-impact expectations.
- Example Use Case: Use it to frame the main contribution of a new model, map claims to experiments, generate a first draft, and prepare rebuttal-ready revisions from the same evidence trail.
Quick Start
Ask for a complete research-paper plan and draft for your project, including the contribution statement, experiment mapping, citation checks, and the target conference format.