brain-dataset-exploration-general

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

1. Identify Dataset: Select based on strategic importance or user needs.
2. 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

1. Describe: Write detailed descriptions (Business context, Methodology, Typical values).
2. Analyze: Use brain-datafield-exploration techniques on key fields to understand distributions and patterns.

Phase 4: Integration

1. Research: Check forum posts for community insights.
2. 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.