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From data-intelligence
Offline BRAIN platform data analysis via SQLite. Use for exploring dataset fields, checking field coverage, analyzing alpha history, and getting data insights without hitting API rate limits. Triggers on "data scope", "explore dataset", "analyze field", "check data", "field stats".
npx claudepluginhub zxx264547/worldquant-brain-research --plugin data-intelligenceHow this skill is triggered — by the user, by Claude, or both
Slash command
/data-intelligence:brain-data-scopeThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Offline analysis of BRAIN platform data stored in SQLite (`worldquant_brain/data/field_analysis.db`).
Guides Next.js Cache Components and Partial Prerendering (PPR): 'use cache' directives, cacheLife(), cacheTag(), revalidateTag() for caching, invalidation, static/dynamic optimization. Auto-activates on cacheComponents: true.
Creates, reads, edits, and analyzes .docx files using docx-js for new documents, pandoc for text extraction, Python scripts for XML unpacking/validation/changes, and LibreOffice for conversions.
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Offline analysis of BRAIN platform data stored in SQLite (worldquant_brain/data/field_analysis.db).
python worldquant_brain/scripts/brain_data_scope.py star <dataset_id> # Explore dataset
python worldquant_brain/scripts/brain_data_scope.py badge <dataset_id> # Field metadata
python worldquant_brain/scripts/brain_data_scope.py neut <dataset_id> # Neutralization analysis
python worldquant_brain/scripts/brain_data_scope.py report <dataset_id> # Full report
python worldquant_brain/scripts/brain_data_scope.py ingest # Import data
python worldquant_brain/scripts/direction_radar.py <results.json> # Signal light analysis
Outputs GREEN (promising), YELLOW (uncertain), RED (weak), DEAD (no signal) with operator diversity scoring.