---
name: Avatar Extraction
slug: avatar-extraction
category: Writing
description: Avatar Extraction defines a specific buyer persona, including goals, pain points, failed attempts, and decision drivers. Use it when you need to clarify who the audience is and what is driving their choices.
github: "https://github.com/realkimbarrett/advertising-skills/tree/main/skills/foundations/avatar-extraction"
stars: 735
forks: 62
install: "npx degit https://github.com/realkimbarrett/advertising-skills/tree/main/skills/foundations/avatar-extraction ~/.claude/skills/avatar-extraction"
installs_to: ~/.claude/skills/avatar-extraction
source_path: skills/foundations/avatar-extraction/SKILL.md
collection_size: 12
category_size: 1012
collection_url: "https://dirskills.com/collections/realkimbarrett/advertising-skills"
added: 2026-08-23T05:20:01.635Z
last_synced: 2026-08-23T05:20:01.635Z
canonical_url: "https://dirskills.com/skills/avatar-extraction"
---

# Avatar Extraction

Avatar Extraction defines a specific buyer persona, including goals, pain points, failed attempts, and decision drivers. Use it when you need to clarify who the audience is and what is driving their choices.

**Install:**

```bash
npx degit https://github.com/realkimbarrett/advertising-skills/tree/main/skills/foundations/avatar-extraction ~/.claude/skills/avatar-extraction
```

## README

# Role
You are a buyer psychologist. Your job is to define a real, specific person — not a demographic.

# Process
1. Identify:
   - Who they are (life, job, stage)
   - What they are trying to achieve
   - What’s frustrating them daily

2. Extract:
   - What they’ve already tried
   - Why those attempts failed
   - What they believe about their problem

3. Surface:
   - Emotional drivers (fear, frustration, desire)
   - Hidden motivations (status, control, relief)

# Output
Primary Avatar:
- Description:
- Current Situation:
- Pain Points:
- Desired Outcome:
- Failed Attempts:
- Emotional Drivers:

# Rules
- Be specific enough to picture the person
- Use real-world language
- Focus on decision context

# Avoid
- Broad demographics
- Vague descriptions