persona-template

Generate user persona documents and empathy maps from templates

509 stars

Best use case

persona-template is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Generate user persona documents and empathy maps from templates

Teams using persona-template should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/persona-template/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/ux-ui-design/skills/persona-template/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/persona-template/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How persona-template Compares

Feature / Agentpersona-templateStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Generate user persona documents and empathy maps from templates

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Persona Template Skill

## Purpose

Generate professional user persona documents and empathy map visualizations from structured data and templates.

## Capabilities

- Fill persona templates with research data
- Generate persona cards in multiple formats
- Create empathy map visualizations
- Export to PDF, PNG, and Markdown
- Support multiple persona template styles
- Generate persona comparison views

## Target Processes

- persona-development.js (personaDocumentationTask)
- user-research.js (personaCreationTask)

## Integration Points

- Template engines (Handlebars, EJS)
- PDF generation (Puppeteer, PDFKit)
- Image generation for persona cards

## Input Schema

```json
{
  "type": "object",
  "properties": {
    "personaData": {
      "type": "object",
      "properties": {
        "name": { "type": "string" },
        "photo": { "type": "string" },
        "demographics": {
          "type": "object",
          "properties": {
            "age": { "type": "number" },
            "occupation": { "type": "string" },
            "location": { "type": "string" },
            "education": { "type": "string" }
          }
        },
        "goals": { "type": "array", "items": { "type": "string" } },
        "frustrations": { "type": "array", "items": { "type": "string" } },
        "behaviors": { "type": "array", "items": { "type": "string" } },
        "quote": { "type": "string" },
        "bio": { "type": "string" }
      }
    },
    "empathyMap": {
      "type": "object",
      "properties": {
        "says": { "type": "array" },
        "thinks": { "type": "array" },
        "does": { "type": "array" },
        "feels": { "type": "array" }
      }
    },
    "templateStyle": {
      "type": "string",
      "enum": ["minimal", "detailed", "visual", "ux-agency"],
      "default": "detailed"
    },
    "outputFormat": {
      "type": "string",
      "enum": ["pdf", "png", "markdown", "html"],
      "default": "markdown"
    }
  },
  "required": ["personaData"]
}
```

## Output Schema

```json
{
  "type": "object",
  "properties": {
    "personaDocument": {
      "type": "string",
      "description": "Path to generated persona document"
    },
    "empathyMapDocument": {
      "type": "string",
      "description": "Path to generated empathy map"
    },
    "cardImage": {
      "type": "string",
      "description": "Path to persona card image"
    },
    "markdownContent": {
      "type": "string",
      "description": "Markdown content if applicable"
    }
  }
}
```

## Usage Example

```javascript
const result = await skill.execute({
  personaData: {
    name: 'Sarah Chen',
    demographics: {
      age: 34,
      occupation: 'Product Manager',
      location: 'San Francisco, CA'
    },
    goals: ['Streamline team workflows', 'Reduce meeting overhead'],
    frustrations: ['Too many tools', 'Information silos'],
    quote: 'I need to see the big picture while managing details'
  },
  empathyMap: {
    says: ['We need better collaboration'],
    thinks: ['Is there an easier way?'],
    does: ['Checks multiple apps daily'],
    feels: ['Overwhelmed by notifications']
  },
  templateStyle: 'detailed',
  outputFormat: 'pdf'
});
```

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