What it does
This prompt instructs the AI to adopt a specified professional persona and deliver an expert-quality output for a defined goal, using provided context and tailored to a particular audience. It requires the response to explicitly state the assumed role up front, apply domain-appropriate reasoning, and, when details are missing, make clear assumptions rather than guessing. It also sets guardrails to keep the output professional and in-scope, avoiding unsupported claims, irrelevant content, and regulated advice unless explicitly requested.
For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.
Inputs
textInputs
Pass each text input using --input <key>=<value> flags.
| Variable key | Required? | Description | Defaults |
|---|---|---|---|
key_criteria |
Optional | The standards or rules the output should follow. | Focus on conversion rate and mobile usability |
target_audience |
Optional | Who the final output is intended for — determines tone, detail, and complexity. | Startup founders |
background_or_context |
Optional | Short background that explains the situation or purpose of the task. | Short background that explains the situation or purpose of the task. |
specific_goal_or_deliverable |
Optional | The main task or objective you want the expert to complete. | Audit a landing page |
specific_professional_or_expert |
Optional | The role or expertise you want the AI to adopt. | Senior UX designer |
Models and options
This skill's modality is: text.
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 "text".
How to run
Step 1: Collect inputs
First, run betterprompt resources --models-only --json and filter to modality: "text" 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:
- Optional text inputs (use defaults if not provided by the human):
key_criteria(default:Focus on conversion rate and mobile usability)target_audience(default:Startup founders)background_or_context(default:Short background that explains the situation or purpose of the task.)specific_goal_or_deliverable(default:Audit a landing page)specific_professional_or_expert(default:Senior UX designer)
- Optional: model and options.
- Present the human with the default model
gpt-5and its available options. Look upgpt-5in thebetterprompt resourcesoutput (filtered to modality"text") and show itsavailableOptionsas:key: val1, val2 (default), val3 | key2: .... Mark a value(default)if it matches these defaults:{"reasoningEffort":"low"}. - If the human does not specify, defaults are used: model
gpt-5, options{"reasoningEffort":"low"}. Other models from the resources call are also available.
- Present the human with the default model
Step 2: Run via BetterPrompt CLI
Use the frontmatter's name as the positional argument (for this skill, use the-role-playing-expert).
Command form:
betterprompt generate the-role-playing-expert \
[--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
--modeland BetterPrompt will use the default model:gpt-5. - If the human does not mention options, omit
--optionsand BetterPrompt will use the default options:{"reasoningEffort":"low"}. - If the run times out, the response will include a
runIdyou can use to fetch the result later.
Example (using defaults shown above):
betterprompt generate the-role-playing-expert \
--input 'key_criteria=Focus on conversion rate and mobile usability' \
--input 'target_audience=Startup founders' \
--input 'background_or_context=Short background that explains the situation or purpose of the task.' \
--input 'specific_goal_or_deliverable=Audit a landing page' \
--input 'specific_professional_or_expert=Senior UX designer' \
--model gpt-5 \
--options '{"reasoningEffort":"low"}'