Customer Persona For Targeted Marketing Campaigns

What it does

This prompt takes a set of persona attributes (demographics, lifestyle, motivations, behaviors, influences, and pain points) and uses them to construct a coherent marketing customer profile that can guide campaign targeting and messaging, with the intended outcome of producing a visual illustration that depicts only the persona as an image without any accompanying text.

Requires the betterprompt CLI to run. For installation and general CLI usage, refer to the betterprompt skill in your skill list or if not yet available in skill list, install via npx skills add https://github.com/BetterPromptme/betterprompt/skills --skill betterprompt

Inputs

textInputs

Pass each text input using --input <key>=<value> flags.

Models and options

This skill's modality is: image.

To discover which model values you can use (and which options keys/values are valid for each model), run:

betterprompt resources --models-only --json

Then filter the returned JSON array to entries where modality is "image".

How to run

Step 1: Collect inputs

First, run betterprompt resources --models-only --json and filter to modality: "image" to discover valid models and available options:

betterprompt resources --models-only --json

Use only the models and option values that appear in the filtered results.

Then collect all inputs from the human:

• Required text inputs:
  • age
  • name
  • gender
  • income
  • location
  • lifestyle
  • occupation
  • pain_points
  • main_motivation
  • shopping_behavior
  • consumption_habits
  • influencing_factors
  • relationship_status
• Optional: model and options.
  • Present the human with the default model gpt-image-1 and its available options. Look up gpt-image-1 in the betterprompt resources output (filtered to modality "image") and show its availableOptions as: key: val1, val2 (default), val3 | key2: .... Mark a value (default) if it matches these defaults: {"image":{"quality":1},"quality":"medium"}.
  • If the human does not specify, defaults are used: model gpt-image-1, options {"image":{"quality":1},"quality":"medium"}. Other models from the resources call are also available.

If any required text input is missing, ask the human for what's missing. Do not assume or fabricate values.

Step 2: Run via BetterPrompt CLI

Use the frontmatter's skillVersionId as the positional argument (for this skill version, use 0198d0d2-355f-7448-8311-f34e49e280fb).

Command form:

betterprompt generate 0198d0d2-355f-7448-8311-f34e49e280fb \
  [--input <key>=<value>] \
  [--model <model>] \
  [--options <options JSON>] \
  [--json]

Notes:

• Pass each text input as a separate --input <key>=<value> flag.
• If the human does not mention a model, omit --model and BetterPrompt will use the default model: gpt-image-1.
• If the human does not mention options, omit --options and BetterPrompt will use the default options: {"image":{"quality":1},"quality":"medium"}.
• If the run times out, the response will include a runId you can use to fetch the result later.

Example (using defaults shown above):

betterprompt generate 0198d0d2-355f-7448-8311-f34e49e280fb \
  --input age=<value> \
  --input name=<value> \
  --input gender=<value> \
  --input income=<value> \
  --input location=<value> \
  --input lifestyle=<value> \
  --input occupation=<value> \
  --input pain_points=<value> \
  --input main_motivation=<value> \
  --input shopping_behavior=<value> \
  --input consumption_habits=<value> \
  --input influencing_factors=<value> \
  --input relationship_status=<value> \
  --model gpt-image-1 \
  --options '{"image":{"quality":1},"quality":"medium"}'