Исследовательский pipeline из писем в базу данных

automation

data-research is a Claude Code skill that implements a structured research pipeline: source discovery, structured data extraction, raw-source archiving, canonical tracker-page maintenance, and deduplication. Behavior is parameterized through YAML recipes tailored to specific workflows — investor updates, donation tracking, company updates, or any email-to-structured-data pipeline. The skill is designed for teams that need to systematically process high-volume incoming data without manual triage. Funds, founders, and analysts who want to turn unstructured email streams into an organized, queryable knowledge base will find it directly applicable.