comfort-zone-breakthrough-coach

What it does

This prompt instructs the AI to act as an emotionally intelligent mentor and produce a numbered list of 10 warm, open-ended coaching questions tailored to a specified challenge context. The questions are designed to help a capable but hesitant colleague uncover underlying beliefs, fears, assumptions, and internal barriers driving their discomfort, without offering advice, action plans, or judgment. It also sets safety boundaries to avoid diagnosis or risky guidance and to encourage professional help if mental-health concerns are implicated.

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: )
• 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):