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Foundation Persona

  • 500 installs
  • 518 repo stars
  • Updated August 4, 2026
  • product-on-purpose/pm-skills

foundation-persona is a Claude Code agent skill that generates evidence-calibrated product or marketing personas with confidence ratings for developers and PMs who need decision-ready user profiles before drafting PRDs,

About

foundation-persona is a foundation skill from the product-on-purpose/pm-skills library (version 2.6.0, Apache 2.0) that turns research context into a complete persona artifact using a canonical v2.5.0 output contract. The skill supports two modes—product and marketing (with buyer as a marketing alias)—and fills one of two bundled templates covering a Persona Card plus 11 numbered sections, an evidence table, and High/Medium/Low confidence blocks. Agents read references/TEMPLATE.md and references/EXAMPLE.md, collect user evidence, enforce mode boundaries, and remove authoring guidance before delivery. Developers reach for foundation-persona when shaping artifact perspective, stress-testing tradeoffs, or framing downstream PM and GTM work with explicit assumptions and governance follow-ups.

  • foundation-persona
  • AI & Agent Building
  • AI-coding skill

Foundation Persona by the numbers

  • 500 all-time installs (skills.sh)
  • +28 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #1,769 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/product-on-purpose/pm-skills --skill foundation-persona

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Listed on Skillselion
Installs500
repo stars518
Last updatedAugust 4, 2026
Repositoryproduct-on-purpose/pm-skills

How do you generate evidence-calibrated product personas with AI?

Helps with ai & agent building tasks.

Who is it for?

Product managers and developers who need a structured, evidence-labeled persona before writing PRDs, user stories, launch plans, or messaging briefs.

Skip if: Teams mapping jobs-to-be-done, internal stakeholders, or unsynthesized interview transcripts should use define-jtbd-canvas, discover-stakeholder-summary, or discover-interview-synthesis instead.

When should I use this skill?

Trigger when the user asks for a product persona, marketing persona, buyer profile, or evidence-calibrated user archetype before PM or GTM artifact work.

What you get

A complete Product or Marketing persona markdown artifact with header, metadata table, Persona Card one-pager, sections 1–11, and Evidence & Confidence blocks.

  • Product Persona markdown artifact
  • Marketing Persona markdown artifact
  • Persona Card one-pager

By the numbers

  • Skill version 2.6.0 with v2.5.0 canonical output contract
  • Produces personas with Persona Card plus 11 numbered sections per template
  • Supports 2 persona modes: product and marketing (buyer alias)

Files

SKILL.mdMarkdownGitHub ↗

<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->

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.

Related skills

How it compares

Choose foundation-persona when you need a person-centric, evidence-rated profile for PM or GTM decisions; prefer JTBD or interview-synthesis skills when the gap is job context or raw research consolidation.

FAQ

What modes does foundation-persona support?

foundation-persona supports product and marketing modes, with buyer accepted as a marketing alias. Each run outputs exactly one mode-labeled persona using either the Product Persona Template or Marketing Persona Template from references/TEMPLATE.md. Agent mode is out of scope for

What sections does a foundation-persona output include?

A foundation-persona artifact includes a header, one-sentence core-reality statement, metadata table, Persona Card one-pager, sections 1 through 11 from the selected template, and an Evidence & Confidence block with validated, assumed, open questions, and governance fields.

When should developers use foundation-persona vs JTBD canvas?

Developers should use foundation-persona when they need a decision-usable profile of who the user or buyer is. Use define-jtbd-canvas instead when the goal is mapping what customers hire the product to do rather than describing the person behind the job.

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