What problem does it solve? Converting an audience targeting document into working lead-search API queries is error-prone: invalid industry names, broken filters, and over-narrow filter stacks silently return zero or useless results. This Skill parses targeting documents, maps criteria to verified AI ARK API filters, and enforces a validation-first workflow so no API credits are spent on unreviewed queries. ## Core Features & Use Cases - Document-to-Query Conversion: Parses audience targeting documents into per-segment AI ARK API query JSON, mapping industries, seniority, location, company type, employee size, revenue, and founded year to valid filter values. - Broken-Filter Avoidance: Enforces known-good filter usage (seniority instead of title, DESCRIPTION/INDUSTRY keyword sources) and warns about filter stacking that returns zero results. - Approval-Gated Execution: Presents a filter summary table and full JSON query for user approval before any API call, then supports execution, result review, iterative refinement, and bulk export with verified emails. - Use Case: A sales team provides a targeting doc for gym and med spa owners; the Skill builds two separate validated queries, checks API credits, gets user approval, runs the searches, and exports up to 10,000 leads with emails. ## Quick Start Ask the AI to build a lead list from your audience targeting document using the AI ARK API and review the generated queries before they run.