name: webinar-landing-page-copy
description: This prompt instructs the AI to act as a conversion-focused copywriter and produce plain-text landing page copy designed to maximize free webinar registrations, using provided details like the webinar name, audience, duration, and language. The output is a structured set of sections (headline, optional subheadline, benefit-driven bullets, optional learning points and host bio, required logistics, and a repeated primary call-to-action) written in clear, concrete, grade-level language with character limits and compliance constraints to avoid hype or unsupported claims.
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 conversion-focused copywriter and produce plain-text landing page copy designed to maximize free webinar registrations, using provided details like the webinar name, audience, duration, and language. The output is a structured set of sections (headline, optional subheadline, benefit-driven bullets, optional learning points and host bio, required logistics, and a repeated primary call-to-action) written in clear, concrete, grade-level language with character limits and compliance constraints to avoid hype or unsupported claims.
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 |
|---|
Language | Required | | (none) |
Webinar_Name | Required | | (none) |
Target_Audience | Required | | (none) |
Webinar_Duration | 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:
Language
Webinar_Name
Target_Audience
Webinar_Duration
- Optional: model and options.
- Present the human with the default model
gpt-5-mini and its available options. Look up gpt-5-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-5-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 webinar-landing-page-copy).
Command form:
betterprompt generate webinar-landing-page-copy \
[--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-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 webinar-landing-page-copy \
--input Language=<value> \
--input Webinar_Name=<value> \
--input Target_Audience=<value> \
--input Webinar_Duration=<value> \
--model gpt-5-mini \
--options '{}'