What problem does it solve? Producing a convincing demo of an AI-driven lead generation pipeline normally requires manually finding contacts, enriching them, and writing sample outreach. This Skill automates that entire demo workflow from a free-text ICP prompt, delivering roughly 10 enriched contacts with ready-to-send message drafts. ## Core Features & Use Cases - End-to-end demo pipeline: Chains people-search, contact-filter, and people-enrichment (email only) to build a ~10-contact lead list from a webhook or user prompt describing a target audience. - Optional buying-signal pass: A --with-signals flag runs signal-search over the unique companies and merges scored intent signals back into contacts for sharper message hooks. - Message generation with quality gates: Produces 2-4 sample messages following a hook-bridge-offer-CTA structure (320-450 characters), with a client-specific system prompt and review checklist. - White-label HTML card deck: Fills a parameterized deck_template.html with one collapsible card per contact, signal source links, deliverability badges, an embedded CSV download, and a booking CTA, followed by programmatic self-QA. - Use Case: A prospect submits a website demo form describing their ideal customer; the skill runs headless via claude -p, infers the ICP, enriches ~10 contacts, and outputs a sanitized CSV, branded deck, and result.json without blocking on questions. ## Quick Start Run the demo skill with a prompt describing your target audience, for example: "/gtm-pipeline:demo create a demo for a SaaS company selling to German logistics firms with 50-200 employees".
