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Get Started Free →product-on-purpose/foundation-persona
Generates an evidence-calibrated product or marketing persona using the canonical v2.5 output contract.
Passed 16 of 22 test cases with the skill, and 7 of 22 without it.
and 12 more in the full report
11 fixed5 passed either way4 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
Generate an agent persona for an autonomous customer support LLM bot handling refund requests. Provide a full profile artifact with structural metadata and behavioral sections.
| Checked | Without skill | With skill |
|---|---|---|
| The response prompts the user to select either product or marketing mode. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill produces decision-usable personas from one canonical template pack.
productmarketingbuyer 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.
define-jtbd-canvas; the canvas captures what customers hire products to do, the persona captures who they arediscover-stakeholder-summarydiscover-interview-synthesis; a persona built on unsynthesized notes inherits their noiseWhen asked to generate a persona, follow these steps:
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.
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.
test cases passed, vs 7 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.