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kol-discovery

Aggregate LinkedIn post data and web research to rank key opinion leaders.

1.1k|200|Updated Mar 2, 2026
Search Tags:#web research#thought leadership#outreach#linkedin posts#influencer discovery#kol discovery#domain keywords
One-click install
npx skills add https://github.com/gooseworks-ai/goose-skills --skill kol-discovery-gooseworks-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kol-discovery
Source: https://github.com/gooseworks-ai/goose-skills/tree/main/skills/capabilities/kol-discovery
Command: npx skills add https://github.com/gooseworks-ai/goose-skills --skill kol-discovery-gooseworks-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Find and rank Key Opinion Leaders (KOLs) in a domain by aggregating LinkedIn post data for authority keywords and merging results with web-researched influencers.

Core Features & Use Cases

  • Phase 0 Intake: gather domain, audience, and constraints to guide discovery.
  • Phase 1: generate domain keywords and search LinkedIn posts for influencer potential.
  • Phase 2: aggregate posts by author and compute engagement metrics to identify credible voices.
  • Phase 3: score, merge with web-researched KOLs, and export a ranked CSV for outreach campaigns, partnerships, or content strategy.
  • Use cases include influencer outreach, thought-leader engagement, conference speaker scouting, and podcast/newsletter collaborations.

Quick Start

Provide a client config and run the kol-discovery script to generate the ranked KOL CSV.

Frequently Asked Questions about kol-discovery

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I discover KOLs for outreach using domain keywords?▼

To discover KOLs for outreach, this Skill aggregates LinkedIn post data for your domain keywords and merges results with web-researched influencers to output a ranked CSV of key opinion leaders. It computes author engagement metrics to identify credible voices.

What is the best way to find thought leaders for influencer marketing partnerships?▼

Finding thought leaders for influencer marketing involves aggregating LinkedIn posts by author and calculating engagement metrics against configured thresholds. This process scores and merges web-researched influencers to generate a ranked list for partnership campaigns.

How do I find and rank LinkedIn influencers by engagement for a specific domain?▼

You can find and rank LinkedIn influencers by searching posts for domain keywords, then aggregating author data to compute engagement metrics. Authors meeting your configured post and engagement thresholds are scored and exported into a ranked CSV.

Can I use web-researched influencers alongside LinkedIn data for speaker scouting?▼

Yes, you can merge web-researched influencers with aggregated LinkedIn author data for speaker scouting. The Skill combines both sources, scores them based on engagement thresholds, and exports a unified ranked CSV detailing KOL profiles and sources.

What inputs do I need to generate a ranked KOL CSV for content strategy?▼

Generating a ranked KOL CSV requires a client config specifying your domain, audience, constraints, domain keywords, and thresholds for posts and engagement. Optional inputs include pre-researched web KOLs to merge into the final scored output.

Does KOL discovery work for podcast and newsletter collaborations?▼

KOL discovery works for podcast and newsletter collaborations by identifying authoritative voices in a domain through LinkedIn post aggregation and web research. The exported ranked CSV provides KOL details and scores to guide your collaboration outreach.

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