kol-engager-icplisted

# KOL Engager ICP Find ICP-fit leads by scraping engagers from KOL posts on LinkedIn. This is the second half of the KOL pipeline — given KOLs (from kol-discovery or manually), it finds their best post, scrapes who engaged, and filters for your ICP. **Core principle:** 1 post per KOL. Pick the most relevant, highest-engagement post from the last 30 days. This controls costs while maximizing lead quality. ## Phase 0: Intake Ask the user these questions: ### ICP Criteria 1. What does your product/service do? 2. Topic keywords for post relevance filtering (3-5 terms the KOL posts should be about) 3. Target industries/verticals 4. Target job titles/roles (e.g., "VP Operations", "Head of Logistics") 5. Titles to EXCLUDE (e.g., "Software Engineer", "Data Scientist") 6. Competitors to filter out 7. Geographic focus (e.g., "United States") ### KOL Input 8. KOL list — LinkedIn profile URLs (from kol-discovery output or manual list) Save config: ```bash skills/kol-engager-icp/configs/{client-name}.json ``` Config JSON structure: ```json { "client_name": "example", "topic_keywords": ["freight automation", "dispatch operations"], "topic_patterns": ["freight.*automat", "dispatch.*oper"], "icp_keywords": ["freight", "logistics", "3pl"], "target_titles": ["vp operations", "head of logistics", "coo"], "exclude_titles": ["software engineer", "data scientist"], "tech_vendor_keywords": ["competitor-name", "saas founder"], "country_filter": "United States", "kol_urls"