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.
By product-on-purpose · 647 installs
npx skills add product-on-purpose/pm-skills --skill foundation-persona
Source repository · Upstream listing
<! 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.