Foundation Persona logo

Foundation Persona

Organization
product-on-purpose
foundation-persona

Generates an evidence-calibrated product or marketing persona using the canonical v2.5 output contract. Use when shaping artifact perspective, stress-testing decisions, or framing product and GTM strategy.

Overview

Publisherproduct-on-purpose
Repositorypm-skills
Skill namefoundation-persona
Stars
717
Forks
92
Bundled files
4
LicenseApache-2.0
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by product-on-purpose on GitHub. Read the source before you install it.

Installation

Install the Foundation 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/product-on-purpose/pm-skills/tree/main/skills/foundation-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/product-on-purpose/pm-skills.git /tmp/pm-skills
mkdir -p .claude/skills
cp -r /tmp/pm-skills/skills/foundation-persona .claude/skills/foundation-persona
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Foundation 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 Foundation 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 Foundation 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 Builder

This skill produces decision-usable personas from one canonical template pack.

Supported Modes

  • product
  • marketing
  • buyer as input alias for marketing (output remains labeled Marketing)

Generated agent mode is out of scope for v2.5.0. If the user asks for agent, ask them to choose product or marketing.

When to Use

  • Before drafting PM or GTM artifacts that need a clear persona viewpoint
  • When teams disagree on priorities and need behavior-grounded tradeoff framing
  • When assumptions and confidence levels must be explicit for decision review
  • When tailoring downstream work (PRD, stories, launch, messaging, enablement) to a specific user or buyer profile

When NOT to Use

  • You need the job context rather than the person -> use define-jtbd-canvas; the canvas captures what customers hire products to do, the persona captures who they are
  • You are mapping internal stakeholders, not customers -> use discover-stakeholder-summary
  • You have raw interviews to synthesize first -> use discover-interview-synthesis; a persona built on unsynthesized notes inherits their noise
  • No evidence exists at all and a real decision rides on the persona: gather research first; the skill labels assumptions honestly but cannot substitute for evidence

Instructions

When asked to generate a persona, follow these steps:

  1. Resolve mode and intent Determine whether the request is product or marketing (buyer alias allowed). If mode is omitted, ask for mode selection. If execution must continue without reply, default to product and state that fallback explicitly.

  2. Collect context and evidence Use user-provided context first (goals, audience, domain, constraints, sources). If evidence is thin, continue generation but mark gaps and calibrate confidence.

  3. Select exactly one template Use references/TEMPLATE.md and choose exactly one of:

    • Product Persona Template
    • Marketing Persona Template
  4. Generate a complete artifact Fill the selected template end-to-end:

    • header + one-sentence core-reality statement
    • metadata table
    • Persona Card
    • sections 1 through 11
    • Evidence & Confidence
  5. Enforce mode boundaries

    • Product mode: focus on workflow behavior, decision patterns, friction, quality bar, and product tradeoffs.
    • Marketing mode: focus on buying triggers, evaluation criteria, committee dynamics, objections, messaging, and GTM implications.
  6. Apply evidence and confidence policy

    • Use High|Medium|Low confidence with rationale.
    • Distinguish validated evidence from assumptions.
    • State open questions and governance follow-up.
  7. Finalize for direct use Remove template guidance blockquotes (> notes) from the final output. Ensure narrative entries are concrete and decision-changing, not placeholder bullets.

Output Contract (v2.5.0)

  • Use one mode only (Product or Marketing) per output.
  • Keep section numbering and headings from the selected template.
  • Preserve the evidence table plus validated/assumed/open-questions/governance blocks.

Quality Checklist

Before finalizing, verify:

  • Exactly one mode is used and clearly labeled
  • buyer inputs are normalized to Marketing
  • Header, core-reality statement, metadata table, and Persona Card are present
  • All 1 through 11 sections from the selected template are present and complete
  • Includes/not-valid boundaries are explicit in the metadata and narrative
  • Evidence table is populated with concrete sources
  • Confidence is High, Medium, or Low with rationale
  • Validated, Assumed, Open questions, and Governance blocks are present
  • Template authoring notes (> guidance lines) are removed from the completed output

Examples

See references/EXAMPLE.md for a completed sample output.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Foundation Persona AI skill do?

Generates an evidence-calibrated product or marketing persona using the canonical v2.5 output contract. Use when shaping artifact perspective, stress-testing decisions, or framing product and GTM strategy.

Why use Foundation Persona on TypingMind?

Because you install it once and use it with any model. Foundation 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 Foundation Persona in TypingMind?

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

Which AI models can use Foundation 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 Foundation Persona?

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

Is the Foundation Persona AI skill free?

Yes. It is published on GitHub by product-on-purpose under the Apache-2.0 license. 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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