What problem does it solve? Valuable market intelligence — product launches, funding rounds, and executive moves — arrives in Gmail but decays unstructured among promotional noise, and reading every email body exposes private content. This Skill separates cheap metadata-only sender discovery from allowlist-only body extraction so only proven signal senders are ever read. ## Core Features & Use Cases - Two-stage scanning: Stage A runs a metadata-only whole-inbox discovery pass that produces sender worksheets (allowlist candidates, unsubscribe candidates, suspected spam); Stage B reads bodies only from the approved allowlist. - Structured signal extraction: A distill subagent converts email text into schema-validated company signals (launch, funding, market, exec_move) with canonical URLs, provenance, and confidence scores, with sponsor-section stripping and stub-newsletter fallback handling. - Human-gated writes: Signals are deduplicated by canonical URL across newsletters, resolved against a company alias map, and written to Supabase and Notion only after explicit per-batch approval. - Use Case: Run a weekly scan to turn newsletters like Techpresso into structured events — e.g., "Mistral raised funding" — deduplicated across four citing newsletters and appended to the company's Notion Recent Developments. ## Quick Start Run the inbox-miner skill in discover mode to scan the last 12 months of Gmail metadata and present sender worksheets for my approval.