Organize supplied research into three distinct user personas with jobs, pains, gains, source-linked insights and explicit evidence gaps.
Harbor Arts · Nine synthetic notes · Three illustrative profiles
01
The evening maker
Finish a personal project after work with enough time and storage to leave safely.
R1 / R2 / R3
In these notes, clear storage rules can outweigh a preferred time slot [R3]; this is a hypothesis to validate.
Age: Unknown; not collected
02
The workshop host
Confirm a workable room and give participants one reliable set of arrival instructions.
R4 / R5 / R6
This fixture suggests certainty may matter more than room choice [R6]; no population preference is established.
Age: Unknown; not collected
03
The studio coordinator
Carry a room booking safely from one group to the next without losing ownership of changes.
R7 / R8 / R9
For this synthetic coordinator, accountability outranks a live chart [R9]; this is not a measured market ranking.
Age: Unknown; not collected
These are fictional behavioral profiles. No photographs, demographic guesses or market-size claims are used as evidence.
Actual saved fictional demonstration output. Open the image for the complete resolution.
For this work
Research, product and service teams with existing behavioral evidence.
Not a customer database, demographic inference service or automatic proof of segmentation.
Bring this / receive this
You provide
You receive
Numbered research notes, product context, known sample limits and the decision the profiles will support.
Three persona drafts with jobs, pains, gains, an evidence-linked insight and a product-fit discussion.
Use it in your assistant
Extract the official source ZIP. Install the folder with your assistant’s supported Agent Skill method, or ask a file-capable assistant to read SKILL.md and apply it. Model access and any host file tools are required; subscription or usage fees may apply. Supplied-text work needs no additional service API key. Further-reading links are optional and their access is not bundled.
What was actually checked
8 source and saved-artifact checks passed in this controlled run. The results are bounded to this fictional case; no general quality percentage is inferred.
Original source and boundaries
Original instructions by Pawel Huryn from phuryn/pm-skills, pinned at 07b34f64ee828df08953f505b7f747aef85ae7c6. MIT license, copyright and full selected subtree are preserved. Packaging documentation and promotional artwork are additions; the core SKILL.md is unchanged.
All nine notes and personas are synthetic; no customer research was collected.
Three notes per group are illustrative and do not establish representativeness or segment size.
Do not infer sensitive traits, ages, income or individual eligibility from sparse text.
Only a source-guided Codex preparation and bounded Python artifact checks are recorded. No clean native-client installation, Claude run, real participant research or business outcome is claimed.