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making-profestional-email

making-profestional-email

This prompt instructs the AI to create a single professional marketing email tailored to a specified audience and offering, producing a complete message with a sub-50-character subject line, a personalized opening, a concise 3–5 sentence benefits-focused body that sparks curiosity, and a clear call-to-action, all written in an engaging, professional tone th…

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Documentation de la Skill

GitHub

name: making-profestional-email description: This prompt instructs the AI to create a single professional marketing email tailored to a specified audience and offering, producing a complete message with a sub-50-character subject line, a personalized opening, a concise 3–5 sentence benefits-focused body that sparks curiosity, and a clear call-to-action, all written in an engaging, professional tone that avoids common spam signals. compatibility: Requires betterprompt >= 0.1.3 metadata: openclaw: homepage: https://github.com/BetterPromptme/skills emoji: 🧩 requires: anyBins: - betterprompt - bp os: - linux - darwin install: - id: node kind: node package: betterprompt bins: [betterprompt, bp] label: Install BetterPrompt CLI (node)

What it does

This prompt instructs the AI to create a single professional marketing email tailored to a specified audience and offering, producing a complete message with a sub-50-character subject line, a personalized opening, a concise 3–5 sentence benefits-focused body that sparks curiosity, and a clear call-to-action, all written in an engaging, professional tone that avoids common spam signals.

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 keyRequired?DescriptionDefaults
products_or_servicesRequired(none)
industry_profestionalsRequired(none)

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:

  • Required text inputs:
    • products_or_services
    • industry_profestionals
  • Optional: model and options.
    • Present the human with the default model gpt-4.1-mini and its available options. Look up gpt-4.1-mini 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: {}.
    • If the human does not specify, defaults are used: model gpt-4.1-mini, options {}. 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 name as the positional argument (for this skill, use making-profestional-email).

Command form:

betterprompt generate making-profestional-email \
  [--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-4.1-mini.
  • If the human does not mention options, omit --options and BetterPrompt will use the default options: {}.
  • 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 making-profestional-email \
  --input products_or_services=<value> \
  --input industry_profestionals=<value> \
  --model gpt-4.1-mini \
  --options '{}'
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