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Sheshiyer
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customer-persona

Generate structured customer personas with demographics, psychographics, JTBD, and anti-personas.

4|1|Updated Feb 10, 2026
Search Tags:#JTBD#persona#customer#psychographics#journey-mapping#avatar#demographics
One-click install
npx skills add https://github.com/Sheshiyer/brandmint-oracle-aleph --skill customer-persona-sheshiyer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-persona
Source: https://github.com/Sheshiyer/brandmint-oracle-aleph/tree/main/skills/external/inference-sh/upstream/ab546d072f1e/guides/product/customer-persona
Command: npx skills add https://github.com/Sheshiyer/brandmint-oracle-aleph --skill customer-persona-sheshiyer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Research-backed customer personas are essential for marketing strategy, product development, UX research, and sales enablement. This skill provides a structured approach to generate research-backed personas with demographics, psychographics, jobs-to-be-done, journey mapping, and anti-personas, plus avatar generation to visualize archetypes.

Core Features & Use Cases

  • Data-driven persona templates including demographics, psychographics, JTBD, journey mapping, and anti-personas for aligned marketing, product, and UX.
  • Avatar generation to visualize primary customer archetypes and support content creation.
  • Triggers and inputs compatible with inference.sh CLI to pull market data and produce shareable persona artifacts.
  • Use cases: marketing strategy, product development, UX research, sales enablement, content strategy.

Quick Start

Run the inference.sh CLI to research target market data and generate a persona avatar.

Frequently Asked Questions about customer-persona

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

FAQPage Schema
How do I create data-backed customer personas for marketing strategy?▼

Data-backed customer personas are generated by synthesizing demographics, psychographics, JTBD, journey maps, and anti-personas into structured templates. This approach aligns marketing, product, and UX teams around research-backed archetype artifacts.

What is an anti-persona and when do I need it for product development?▼

An anti-persona identifies users who are not a fit for your product. It is generated alongside primary customer avatars during persona synthesis to prevent misaligned product development and wasted marketing spend on unqualified segments.

How do I generate customer psychographics and JTBD for UX research?▼

Customer psychographics and JTBD are generated by running the inference.sh CLI to research target market data. The tool synthesizes inputs to produce structured persona templates including buying triggers, goals, and pains for UX research.

Can I use inference.sh CLI to produce shareable persona artifacts with avatars?▼

Yes, the inference.sh CLI pulls market data and generates shareable persona artifacts. It outputs structured templates featuring demographics, journey maps, and visual avatars to represent primary customer archetypes for content strategy.

What is the best way to scale customer journey mapping across multiple segments?▼

Scaling customer journey mapping is achieved by automating persona synthesis at scale. This process generates multiple structured templates containing demographics, psychographics, and JTBD simultaneously, ensuring consistent alignment across diverse segments.

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