kol-discovery
Find Key Opinion Leaders (KOLs) in a given domain by combining web research with LinkedIn post search. Given a company/idea and target domain, generates authority keywords, searches LinkedIn posts to find prolific authors with high engagement, and merges with web-researched influencers. Use when someone wants to "find influencers in X space" or "who are the KOLs for Y industry."
npx skills add gooseworks-ai/goose-skills --skill kol-discovery --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# KOL Discovery Find Key Opinion Leaders in any domain by searching LinkedIn posts for prolific, high-engagement authors and merging with web-researched influencers. **Core principle:** Search for **authority/thought-leadership keywords**, not pain-language. We want people who shape conversation in the space — conference speakers, newsletter writers, podcast hosts, and prolific LinkedIn posters. ## Phase 0: Intake Ask the user these questions: ### Domain & Audience 1. What does your company/product do? What space are you in? 2. What specific domain or topic are the KOLs you want to find expert in? 3. Who is your target audience? (The people the KOLs influence) 4. Any KOLs you already know about? (LinkedIn URLs — these become the baseline) 5. Anyone to EXCLUDE? (Competitors, your own team, irrelevant voices) ## Phase 1: Generate Domain Keywords Based on intake, generate 15-25 topic/authority keywords. These are NOT pain-language — they're the terms thought leaders use when sharing expertise: - **Industry terms** — "freight tech", "supply chain innovation" - **Thought leadership signals** — "lessons learned in logistics", "future of dispatch" - **Conference/event terms** — "supply ch
- Phase 0: Intake
- Domain & Audience
- Phase 1: Generate Domain Keywords
- Phase 2: Run KOL Discovery Pipeline
- Phase 2b: Web Research (Agent-Driven)
- Phase 3: Review & Refine
- Phase 4: Output
- Tools Required
- Example Usage
python3 skills/kol-discovery/scripts/kol_discovery.py \
What does the kol-discovery skill do?
Find Key Opinion Leaders (KOLs) in a given domain by combining web research with LinkedIn post search. Given a company/idea and target domain, generates authority keywords, searches LinkedIn posts to find prolific authors with high engagement, and merges with web-researched influencers. Use when someone wants to "find influencers in X space" or "who are the KOLs for Y industry."
How do I install it?
Run `npx skills add gooseworks-ai/goose-skills --skill kol-discovery --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.