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email-architect【效率与协作】This prompt instructs the AI to act as an experienced business communication specialist and generate a ready-to-send professional email template based on user-supplied details such as email type, recipient, purpose, key points, tone, and context. The result is a clearly structured, concise, and persuasive email—including a short subject line, appropr…
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This prompt instructs the AI to act as an experienced business communication specialist and generate a ready-to-send professional email template based on user-supplied details such as email type, recipient, purpose, key points, tone, and context. The result is a clearly structured, concise, and persuasive email—including a short subject line, appropriate greeting, organized body (with bullets when helpful), a specific call-to-action, and a professional closing—formatted for immediate use with customizable placeholders and checked against clarity, tone consistency, and completeness standards.
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 |
|---|---|---|---|
tone | Optional | What communication style fits best? | Professional, Friendly, Formal, Urgent, Persuasive, etc. |
purpose | Required | What’s the main goal or outcome you want from this email? | (none) |
recipient | Optional | Who are you writing to | Client, Colleague, Manager, Partner, Customer |
email_type | Optional | What kind of email are you writing | Introduction, Follow-up, Request, Apology, Announcement |
key_points | Required | List the main details or information you want to include (2–4 short bullet points). | (none) |
additional_context | Required | Any background information, previous interactions, company or project details that help clarify the situation. | (none) |
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:
purposekey_pointsadditional_contexttone (default: Professional, Friendly, Formal, Urgent, Persuasive, etc.)recipient (default: Client, Colleague, Manager, Partner, Customer)email_type (default: Introduction, Follow-up, Request, Apology, Announcement)grok-4-fast and its available options. Look up grok-4-fast 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"}.grok-4-fast, options {"reasoningEffort":"low"}. 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.
Use the frontmatter's name as the positional argument (for this skill, use email-architect).
Command form:
betterprompt generate email-architect \
[--input <key>=<value>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
--input <key>=<value> flag.--model and BetterPrompt will use the default model: grok-4-fast.--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 email-architect \
--input 'tone=Professional, Friendly, Formal, Urgent, Persuasive, etc.' \
--input purpose=<value> \
--input 'recipient=Client, Colleague, Manager, Partner, Customer' \
--input 'email_type=Introduction, Follow-up, Request, Apology, Announcement' \
--input key_points=<value> \
--input additional_context=<value> \
--model grok-4-fast \
--options '{"reasoningEffort":"low"}'