research-overview-of-industry-and-industry-topics

What it does

This prompt instructs the AI to act as an experienced semantic SEO and topical authority strategist for a specified brand and industry, then build a comprehensive, four-level topical map centered on a given seed keyword. The outcome is a structured content-planning framework with at least 10 subcategories and a minimum of 8 uniquely assigned, nested related keywords per subcategory, tailored to the target audience and market to guide systematic content creation without topic duplication.

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 flags.

Models and options

This skill's modality is: .

To discover which values you can use (and which keys/values are valid for each model), run:

Then filter the returned JSON array to entries where is .

How to run

Step 1: Collect inputs

First, run and filter to to discover valid models and available options:

Use only the models and option values that appear in the filtered results.

Then collect all inputs from the human:

• Optional text inputs (use defaults if not provided by the human):
  • (default: )
    • (default: )
    • (default: )
    • (default: )
    • (default: )
    • (default: )
• Optional: model and options.
  • Present the human with the default model and its available options. Look up in the output (filtered to modality ) and show its as: . Mark a value if it matches these defaults: .
  • If the human does not specify, defaults are used: model , options . Other models from the resources call are also available.

Step 2: Run via BetterPrompt CLI

Use the frontmatter's as the positional argument (for this skill, use ).

Command form:

Notes:

• Pass each text input as a separate flag.
• If the human does not mention a model, omit and BetterPrompt will use the default model: .
• If the human does not mention options, omit and BetterPrompt will use the default options: .
• If the run times out, the response will include a you can use to fetch the result later.

Example (using defaults shown above):