计划执行与检查节点
executing-plans
按既定实施计划完成工作,保持过程检查和反馈。
the-role-playing-expert【效率与协作】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 …
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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.
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 |
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".
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:
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)gpt-5 and its available options. Look up gpt-5 in the betterprompt resources output (filtered to modality "text") and show its availableOptions as: key: val1, val2 (default), val3 | key2: .... Mark a value (default) if it matches these defaults: {"reasoningEffort":"low"}.gpt-5, options {"reasoningEffort":"low"}. Other models from the resources call are also available.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:
--input <key>=<value> flag.--model and BetterPrompt will use the default model: gpt-5.--options and BetterPrompt will use the default options: {"reasoningEffort":"low"}.runId you 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"}'