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Persona

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Mehdibargach
persona

Generate actionable user personas from a product description, user data, or research notes. Not marketing fluff — behavioral personas that drive product decisions.

Overview

PublisherMehdibargach
Repositoryclaude-code-pm-skills
Skill namepersona
Stars
97
Forks
38
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Mehdibargach on GitHub. Read the source before you install it.

Installation

Install the Persona AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Mehdibargach/claude-code-pm-skills/tree/main/skills/persona
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Mehdibargach/claude-code-pm-skills.git /tmp/claude-code-pm-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-pm-skills/skills/persona .claude/skills/persona
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Persona in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Persona on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Persona is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Persona Generator

Create user personas that actually influence product decisions. Not stock photos with fake names — behavioral profiles built around goals, pain points, and decision patterns.

Process

  1. Parse the input. Read the product description, user research, support tickets, or any context provided.
  2. Identify distinct user segments. Look for differences in goals, behaviors, technical level, frequency of use, and willingness to pay. Aim for 2-4 personas — more than 4 means you haven't prioritized.
  3. For each persona, define behavioral attributes. Focus on what they do and why, not demographics.
  4. Rank personas by strategic importance. Who is the primary user you're building for? Who is secondary? Who are you explicitly NOT building for?
  5. Map personas to product decisions. How does each persona change what you build?
  6. Save the output to a file in the current working directory as personas-[product-name].md.

Output Format

Personas: [Product Name]

Number of personas: [N] Primary persona: [name] Date: [date]


Persona 1: [Descriptive Name] (PRIMARY)

One-line summary: [Who they are and what they need — one sentence.]

Goals

  • [Primary goal — what success looks like for them]
  • [Secondary goal]

Pain Points

  • [Current frustration #1 — be specific]
  • [Current frustration #2]
  • [Current frustration #3]

Behavior Patterns

  • Frequency: [How often they'd use the product]
  • Technical level: [Novice / Intermediate / Advanced]
  • Decision process: [How they evaluate and adopt tools — impulse, committee, trial period?]
  • Current solution: [What they use today and why it's not good enough]

Key Quote (representative, not real)

"[A sentence this person would say that captures their core need]"

Product Implications

  • [What to build or prioritize FOR this persona]
  • [What to avoid or deprioritize]
  • [UX consideration specific to their behavior]

Persona 2: [Descriptive Name] (SECONDARY)

[Same structure as above]


Persona Priorities

PersonaPriorityWhyBuild ForDon't Build For
[name]Primary[reason][what][what]
[name]Secondary[reason][what][what]
[name]Excluded[reason]—[what they'd want that you won't do]

Anti-Persona: [Name]

Who they are: [Description of a user you are explicitly NOT building for] Why excluded: [Strategic reason — not "they're bad users" but "serving them would compromise the core experience"]

Rules

  • 2-4 personas max. If you need more, you haven't made hard enough choices about who you're building for.
  • Every persona must be distinct. If two personas would make the same product decisions, merge them.
  • No demographics without behavioral relevance. "Age 35, lives in Austin" is useless. "Evaluates tools solo, doesn't need committee buy-in" is useful.
  • The anti-persona is mandatory. Knowing who you're NOT building for is as important as knowing who you are.
  • Goals must be the user's goals, not your business goals. "Increase our revenue" is not a user goal.
  • Pain points must be specific and observable. "Frustrated with the product" is not a pain point. "Spends 30 minutes every Monday manually exporting data to a spreadsheet" is.
  • Product Implications must be actionable. Each persona should change at least one product decision.
  • If the input doesn't provide enough context to differentiate personas, say so and ask for user research, support data, or behavioral observations.
  • Write in English.

Frequently asked questions

What does the Persona AI skill do?

Generate actionable user personas from a product description, user data, or research notes. Not marketing fluff — behavioral personas that drive product decisions.

Why use Persona on TypingMind?

Because you install it once and use it with any model. Persona is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Persona in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Mehdibargach/claude-code-pm-skills/tree/main/skills/persona. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Persona?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Persona?

As many as you like. As long as a model supports skills, you can use Persona with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Persona AI skill free?

It is published on GitHub by Mehdibargach. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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