What problem does it solve?
It helps you turn an official statistics modeling theme into a concrete, competition-ready topic, with a well-structured research design and data sourcing plan.
Core Features & Use Cases
- Topic & research design generation: Proposes 3–5 specific candidate topics aligned to the official theme direction, including research questions, data sources, statistical methods, innovation points, and feasibility.
- Data planning & sourcing strategy: Plans where to get public data and how to prioritize existing user_data, producing actionable dataset recommendations.
- Paper-ready statistical workflow: Maps topic type (causal inference / prediction / classification-clustering / comprehensive evaluation) to an appropriate modeling framework and paper outline.
- Mandatory figure/table pre-planning: Produces a structured TOPIC_PLAN.md with a complete chart planning checklist, including recipe IDs and DrawIO/TikZ architecture planning.
Quick Start
Use the comp-stats-topic skill to plan a statistical modeling paper topic by telling it your "official theme direction" and the kind of modeling angle you want (e.g., causal inference, prediction, or clustering).
