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persona-extract

Generate evidence-based buyer personas from web-scraped market signals and decision data.

Updated Mar 7, 2026
Search Tags:#market research#persona#customer segmentation#jobs to be done#buyer psychology#signal-to-story
One-click install
npx skills add https://github.com/Peleke/hunter --skill persona-extract
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: persona-extract
Source: https://github.com/Peleke/hunter/tree/main/skills/persona-extract
Command: npx skills add https://github.com/Peleke/hunter --skill persona-extract

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill transforms raw market signals and decision data into rich, evidence-based buyer personas, grounding product strategy in real customer needs and behaviors.

Core Features & Use Cases

  • Evidence-Based Personas: Creates detailed archetypes based on verbatim quotes from community discussions, forums, and social media.
  • Deep Behavioral Insight: Maps out pain points, success stories, decision triggers, and buying objections using frameworks like Jobs to Be Done and the Four Forces.
  • Use Case: After identifying a market opportunity in "DevOps education," this Skill will research relevant communities to identify 3-4 distinct persona archetypes (e.g., "The Reluctant Senior," "The Copypaste Engineer"), detailing their specific struggles, what finally helps them succeed, and how they make purchasing decisions.

Quick Start

Run the persona-extract skill to build personas for the 'DevOps education' opportunity.

Frequently Asked Questions about persona-extract

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

FAQPage Schema
How do I build buyer personas from real customer stories and market signals?▼

Building evidence-based buyer personas involves synthesizing market signals and decision data through extensive web scraping. It identifies archetypes, pain points, and decision journeys grounded in verbatim community quotes.

What is the best way to map customer pain points using Jobs to Be Done?▼

Mapping customer pain points with Jobs to Be Done involves analyzing decision log data and community discussions. It identifies distinct archetypes, their specific struggles, success factors, and buying objections.

Can I generate customer segmentation archetypes from raw forum discussions?▼

Yes, generating customer segmentation archetypes from raw forum discussions is possible. The process synthesizes market signals from community and social media sources to identify 3-4 distinct personas with behavioral insights.

How does Four Forces analysis work for understanding buyer psychology?▼

Four Forces analysis for buyer psychology evaluates decision triggers and buying objections extracted from community quotes. It maps the behavioral forces driving distinct archetypes toward or away from purchase decisions.

Do I need decision log data to extract buyer personas from market research?▼

Decision log data is used alongside extensive web scraping to extract buyer personas for market research. Synthesizing these sources grounds the resulting archetypes and success factors in verbatim community quotes.

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