linkedln-headline-that-sells

---

name: linkedln-headline-that-sells description: This prompt instructs the AI to act as a LinkedIn personal-branding specialist and generate three concise, recruiter-attractive LinkedIn headline options tailored to a user’s field, current role, key expertise areas, and career level. The outcome is three professional, bold, SEO-optimized yet readable headlines (each under 220 characters) designed to boost search visibility and credibility with both recruiters and peers. 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 act as a LinkedIn personal-branding specialist and generate three concise, recruiter-attractive LinkedIn headline options tailored to a user’s field, current role, key expertise areas, and career level. The outcome is three professional, bold, SEO-optimized yet readable headlines (each under 220 characters) designed to boost search visibility and credibility with both recruiters and peers.

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
Your_field	Required		(none)
Career_level	Required		(none)
Current_role	Required		(none)
Your_expertises	Required	Write down highlight skills or expertises that make you outstanding and stay ahead from others. You can paste your certificates or degrees also.	(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:
  • Your_field
  • Career_level
  • Current_role
  • Your_expertises
• 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 linkedln-headline-that-sells).

Command form:

betterprompt generate linkedln-headline-that-sells \
  [--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 linkedln-headline-that-sells \
  --input Your_field=<value> \
  --input Career_level=<value> \
  --input Current_role=<value> \
  --input Your_expertises=<value> \
  --model gpt-5 \
  --options '{"reasoningEffort":"low"}'