avatar-picking

Score and rank customer segments from market research into a detailed avatar profile.

Updated Apr 6, 2026

Search Tags:#scoring #persona #segmentation #gtm #market-research #avatar

Ready to run

npx skills add https://github.com/alexwox/genesis-template --skill avatar-picking

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: avatar-picking
Source: https://github.com/alexwox/genesis-template/tree/main/.cursor/skills/avatar-picking
Command: npx skills add https://github.com/alexwox/genesis-template --skill avatar-picking

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts scattered market research into a prioritized, actionable customer avatar framework that guides branding, positioning, and funnel planning.

Core Features & Use Cases

Extracts candidate segments from research and documentation and records them as avatar candidates.
Scores segments on pain severity, willingness to pay, reachability, and product-fit, with route-specific weighting for different business models.
Deepens the winner into a detailed avatar profile, including belief maps and objection inventories to inform messaging and content.
Supports research refinement through defined prompts and optional deep-web-research triggers to strengthen weak dimensions.

Quick Start

Provide your market research document and run avatar-picking to generate the primary avatar profile.

Frequently Asked Questions about avatar-picking

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

FAQPage Schema

How do I turn market research into a prioritized customer avatar?▼

To convert market research into a prioritized customer avatar, provide your research document to extract candidate segments, score them on pain, money, reachability, and fit, and deepen the winner into a detailed profile with belief maps and objection inventories.

What is the best way to score customer segments for go-to-market decisions?▼

Scoring customer segments for go-to-market decisions involves evaluating candidate segments on pain severity, willingness to pay, reachability, and product-fit, with route-specific weighting applied for different business models.

How do I build a customer avatar profile that includes objections and beliefs?▼

Building a customer avatar profile with objections and beliefs requires deepening the highest-scoring market segment into a detailed framework, generating belief maps and objection inventories to inform messaging and content.

Can I use market research to generate segments for different business models?▼

Yes, you can use market research to generate segments for different business models by applying route-specific weighting across dimensions like pain, money, reachability, and fit during the candidate extraction and scoring process.

What should I do if my market research lacks enough detail for avatar scoring?▼

If market research lacks detail for avatar scoring, you can use defined research-guided prompts and optional deep-web-research triggers to refine the data and strengthen weak scoring dimensions before finalizing the profile.