User Personas

Takes your research data (surveys, interviews, CSVs) and turns it into three distinct user personas with jobs-to-be-done, pain points, gains, and one counterintuitive insight per persona. It reads files directly and grounds everything in your actual data rather than making assumptions. The structure is practical: you get demographics, motivations, product fit assessment, and data gaps flagged. Best when you have real research sitting around and need to synthesize it into something your team can actually use for product decisions. The unexpected insight section is a nice touch since it pushes beyond obvious demographic bucketing into actual behavioral patterns.

skills.sh installs: 3.1K
GitHub stars: 27.8K
last updated: Aug 21, 2026

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Install

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

Installs into .claude/skills of the current project.

Files

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.