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BOM generation automates the process of mapping schematic symbols to footprints, querying component databases for MPNs and pricing, and producing a manufacturing-ready Bill of Materials in CSV or YAML format. This Skill handles the entire workflow from symbol-to-footprint mapping through stock verification across Nexar, LCSC, and Octopart.

Yes, footprint mapping applies deterministic rules to assign appropriate footprints based on component families and design specifications. The Skill automates this process, eliminating manual symbol-to-footprint assignment and reducing errors in PCB designs.

Part sourcing queries major component databases—Octopart, LCSC, and Nexar—to retrieve real-time stock levels, pricing, lead times, and alternate part options. The Skill implements primary and alternate part selection to handle out-of-stock scenarios and support quick sourcing decisions.

Automated BOM generation produces a complete, manufacturable Bill of Materials with part numbers, pricing, and lead times in minutes instead of hours. This Skill generates BOMs in CSV and YAML formats suitable for manufacturing and JLC assembly costing.

Yes, the Skill integrates with Nexar, LCSC, and Octopart to query component availability, pricing, and lead times. Multi-database support ensures comprehensive sourcing options and reliable part verification across major suppliers.

This Skill requires Python 3 as its core dependency. You'll need a KiCad design with schematic symbols ready for processing; the Skill handles footprint mapping and database queries automatically once initialized.