What problem does it solve? Finding and qualifying B2B sales prospects manually is slow and unstructured. This Skill turns a vague request like "find me customers" into a defined ideal customer profile, a tiered list of target accounts with buying signals, and an importable prospect spreadsheet. ## Core Features & Use Cases - ICP Definition: Interviews the user about their product, buyers, and pricing, then builds a 6-10 attribute ideal customer profile with negative disqualifiers. - Account Sourcing & Buying Signals: Finds target accounts via Crunchbase, LinkedIn, job boards, G2, and GitHub, then ranks them by trigger events like funding rounds, new executives, and hiring spikes. - Qualification & Tiering: Applies BANT or MEDDPICC frameworks and tiers accounts by fit and trigger freshness, outputting a CRM-ready spreadsheet with contacts, LinkedIn URLs, and email patterns. - Use Case: A SaaS founder selling a $500/mo dev tool asks for prospects. The Skill interviews them, defines the ICP (Series A-C startups, 50-500 employees, hiring data engineers), runs parallel research agents, and delivers a 40+ row spreadsheet with fit scores and "why now" angles. ## Quick Start Ask the assistant to find B2B prospects for your product and answer its questions about what you sell, who buys it, and your price point.
