| name | brain-dataset-exploration-general |
| description | Provides a comprehensive workflow for deep-diving into entire WorldQuant BRAIN datasets. Includes steps for dataset selection, field categorization, detailed description generation, and cross-platform research. Use when the user wants to "audit a dataset", "categorize fields", or "explore a new dataset". |
Dataset Exploration Expert Workflow
This workflow guides the deep analysis and categorization of datasets.
For the detailed job duty manual and specific MCP tool strategies, see reference.md.
Phase 1: Dataset Selection & Initial Assessment
- Identify Dataset: Select based on strategic importance or user needs.
- Initial Exploration:
- Use
get_datasets to find datasets.
- Use
get_datafields to count fields and check coverage.
- Use
get_documentations to find related docs.
Phase 2: Field Categorization
Group data fields into logical categories:
- Business Function: Financials, Market Data, Estimates, etc.
- Data Type: Matrix, Vector.
- Update Frequency: Daily, Quarterly.
- Hierarchy: Primary -> Secondary -> Tertiary (e.g., Financials -> Income Statement -> Revenue).
Phase 3: Enhanced Description & Analysis
- Describe: Write detailed descriptions (Business context, Methodology, Typical values).
- Analyze: Use
brain-datafield-exploration techniques on key fields to understand distributions and patterns.
Phase 4: Integration
- Research: Check forum posts for community insights.
- Alpha Ideas: Brainstorm alpha concepts based on the dataset characteristics.
Core Responsibilities
- Deep Dive: Focus on one dataset at a time.
- Inventory: Catalog all fields.
- Documentation: Improve descriptions.
