Foundation Persona
Scannednpx machina-cli add skill product-on-purpose/pm-skills/foundation-persona --openclawname: foundation-persona description: 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. classification: foundation version: "2.5.0" updated: 2026-03-02 license: Apache-2.0 metadata: category: research frameworks: [triple-diamond, lean-startup, design-thinking] author: product-on-purpose
Persona Builder
This skill produces decision-usable personas from one canonical template pack.
Supported Modes
productmarketingbuyeras input alias formarketing(output remains labeledMarketing)
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
Instructions
When asked to generate a persona, follow these steps:
-
Resolve mode and intent Determine whether the request is
productormarketing(buyeralias allowed). If mode is omitted, ask for mode selection. If execution must continue without reply, default toproductand state that fallback explicitly. -
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.
-
Select exactly one template Use
references/TEMPLATE.mdand choose exactly one of:Product Persona TemplateMarketing Persona Template
-
Generate a complete artifact Fill the selected template end-to-end:
- header + one-sentence core-reality statement
- metadata table
Persona Card- sections
1through11 Evidence & Confidence
-
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.
-
Apply evidence and confidence policy
- Use
High|Medium|Lowconfidence with rationale. - Distinguish validated evidence from assumptions.
- State open questions and governance follow-up.
- Use
-
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 (
ProductorMarketing) 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
-
buyerinputs are normalized toMarketing - Header, core-reality statement, metadata table, and
Persona Cardare present - All
1through11sections 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, orLowwith rationale -
Validated,Assumed,Open questions, andGovernanceblocks are present - Template authoring notes (
>guidance lines) are removed from the completed output
Examples
See references/EXAMPLE.md for a completed sample output.
Source
git clone https://github.com/product-on-purpose/pm-skills/blob/main/skills/foundation-persona/SKILL.mdView on GitHub Overview
Foundation Persona generates decision-usable product or marketing personas using the canonical v2.5 output contract. It helps shape artifact perspectives, stress-test decisions, and frame product and GTM strategy by grounding personas in explicit evidence and a template-driven structure.
How This Skill Works
Specify mode (Product or Marketing) and provide context and evidence. The tool then selects exactly one template (Product Persona Template or Marketing Persona Template) and fills the artifact end-to-end, including header, core-reality statement, metadata, Persona Card, sections 1–11, and Evidence & Confidence. It enforces mode boundaries and documents validated vs assumed content along with governance needs.
When to Use It
- 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 you need to resolve the mode and ensure persona output aligns with product or marketing strategy
Quick Start
- Step 1: Resolve mode and intent (Product or Marketing) and note if omitted
- Step 2: Collect context and evidence (goals, audience, constraints, sources)
- Step 3: Select the appropriate template and generate the full artifact (header, core reality, metadata, Persona Card, sections 1-11, Evidence & Confidence)
Best Practices
- Resolve mode and intent (Product vs Marketing) up front; normalize buyer inputs if omitted
- Collect context and evidence (goals, audience, constraints, sources) to ground the persona
- Select exactly one template: Product Persona Template or Marketing Persona Template
- Generate the complete artifact (header, core-reality, metadata, Persona Card, sections 1-11, Evidence & Confidence)
- Enforce mode boundaries and apply the Evidence & Confidence policy (High/Medium/Low with rationale)
Example Use Cases
- PM teams use Foundation Persona to align product decisions around a clear buyer persona
- Marketing teams use it to craft GTM messaging for a new feature with a well-defined persona
- Strategy sessions compare tradeoffs between two personas using explicit evidence and confidence levels
- Sales enablement assets are tailored to a persona to improve qualification and objections handling
- A cross-functional squad uses the artifact to de-risk launches by surfacing open questions and governance needs