From aj-geddes-useful-ai-prompts-4
Creates detailed user personas from research data to guide product design, feature prioritization, marketing messaging, and team alignment.
npx claudepluginhub joshuarweaver/cascade-code-languages-misc-1 --plugin aj-geddes-useful-ai-prompts-4This skill uses the workspace's default tool permissions.
- [Overview](#overview)
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Searches prompts.chat for AI prompt templates by keyword or category, retrieves by ID with variable handling, and improves prompts via AI. Use for discovering or enhancing prompts.
Checks Next.js compilation errors using a running Turbopack dev server after code edits. Fixes actionable issues before reporting complete. Replaces `next build`.
User personas synthesize research into realistic user profiles that guide design, development, and marketing decisions.
Minimal working example:
# Gather data for persona development
class PersonaResearch:
def conduct_interviews(self, target_sample_size=12):
"""Interview target users"""
interview_guide = {
'demographics': [
'Age, gender, location',
'Job title, industry, company size',
'Experience level, education',
'Salary range, purchasing power'
],
'goals': [
'What are you trying to achieve?',
'What's most important to you?',
'What does success look like?'
],
'pain_points': [
'What frustrates you about current solutions?',
'What takes too long or is complicated?',
'What prevents you from achieving goals?'
],
'behaviors': [
'How do you currently solve this problem?',
'What tools do you use?',
// ... (see reference guides for full implementation)
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Research & Data Collection | Research & Data Collection |
| Persona Template | Persona Template |
| Multiple Personas | Multiple Personas |
| Using Personas | Using Personas |