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+---
+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](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.