job-application-email-for-any-positions

---

name: job-application-email-for-any-positions description: This prompt instructs the AI to generate a polished, persuasive job application email tailored to a specified position and company, using a formal yet authentic business tone. The resulting email includes a strong subject line, a brief introduction and referral source, a targeted statement of interest in the company, a concise summary of relevant experience, 2–4 role-aligned bullet points highlighting measurable strengths or achievements, and a professional closing that references attached application materials and invites follow-up, ending with a sign-off and contact information. 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 generate a polished, persuasive job application email tailored to a specified position and company, using a formal yet authentic business tone. The resulting email includes a strong subject line, a brief introduction and referral source, a targeted statement of interest in the company, a concise summary of relevant experience, 2–4 role-aligned bullet points highlighting measurable strengths or achievements, and a professional closing that references attached application materials and invites follow-up, ending with a sign-off and contact information.

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
Company_name	Required		(none)
Position_title	Required		(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:
  • Company_name
  • Position_title
• Optional: model and options.
  • Present the human with the default model 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"}.
  • If the human does not specify, defaults are used: model gpt-5, 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.

Step 2: Run via BetterPrompt CLI

Use the frontmatter's name as the positional argument (for this skill, use job-application-email-for-any-positions).

Command form:

betterprompt generate job-application-email-for-any-positions \
  [--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-5.
• If the human does not mention options, omit --options and BetterPrompt will use the default options: {"reasoningEffort":"low"}.
• 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 job-application-email-for-any-positions \
  --input Company_name=<value> \
  --input Position_title=<value> \
  --model gpt-5 \
  --options '{"reasoningEffort":"low"}'