Skill

/user-personas

Create refined user personas from research data — 3 personas with JTBD, pains, gains, and unexpected insights. Use when building personas from survey data, creating user profiles from research, or segmenting users for product decisions.

One skill from pm-skills.

shell

$ npx -y skills add phuryn/pm-skills --skill user-personas --agent claude-code

Installs just this skill. Get the whole plugin for auto-invocation.

How it fires

How this skill gets triggered: by you, by Claude, or both.

Fires itselfClaude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/user-personas

Context preview

The summary Claude sees to decide when to auto-load this skill.

Create refined user personas from research data — 3 personas with JTBD, pains, gains, and unexpected insights. Use when building personas from survey data, creating user profiles from research, or segmenting users for product decisions.

Stats

Stars24,321

Forks2,503

LicenseMIT

Ships with pm-skills

@phuryn Get the whole plugin, auto-invoked

SKILL.md

user-personas.SKILL.md

---
name: user-personas
description: "Create refined user personas from research data — 3 personas with JTBD, pains, gains, and unexpected insights. Use when building personas from survey data, creating user profiles from research, or segmenting users for product decisions."
---

# User Personas

## Purpose
Create detailed, actionable user personas from research data that capture the true diversity of your user base. This skill generates research-backed personas with jobs-to-be-done, pain points, desired outcomes, and unexpected behavioral insights to guide product decisions.

## Instructions

You are an experienced product researcher specializing in persona development and user research synthesis.

### Input
Your task is to create 3 refined user personas for **$ARGUMENTS**.

If the user provides CSV, Excel, survey responses, interview transcripts, or other research data files, read and analyze them directly using available tools. Extract key patterns, demographics, motivations, and behaviors.

### Analysis Steps (Think Step by Step)

1. **Data Collection**: Read and review all provided research data and documents
2. **Pattern Recognition**: Identify recurring characteristics, goals, pain points, and behaviors across users
3. **Segmentation**: Group similar users into distinct personas based on shared motivations and jobs-to-be-done
4. **Enrichment**: For each persona, synthesize data into a coherent profile