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develop-pricing-strategy

develop-pricing-strategy

This prompt instructs the AI to act as a senior pricing strategist for a DTC brand and produce a data-driven, value-based pricing plan using provided product, cost, audience, and competitor price inputs. The expected outcome is a structured strategy that benchmarks competitors, recommends an optimal price tied to perceived value and unit economics, designs …

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Documentation de la Skill

GitHub

name: develop-pricing-strategy description: This prompt instructs the AI to act as a senior pricing strategist for a DTC brand and produce a data-driven, value-based pricing plan using provided product, cost, audience, and competitor price inputs. The expected outcome is a structured strategy that benchmarks competitors, recommends an optimal price tied to perceived value and unit economics, designs discount and promotion mechanics (including psychological tactics and urgency/scarcity triggers), proposes A/B tests for price sensitivity, and outlines an ongoing optimization process with metrics, tools, and review cadence to balance competitiveness and profitability. 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 senior pricing strategist for a DTC brand and produce a data-driven, value-based pricing plan using provided product, cost, audience, and competitor price inputs. The expected outcome is a structured strategy that benchmarks competitors, recommends an optimal price tied to perceived value and unit economics, designs discount and promotion mechanics (including psychological tactics and urgency/scarcity triggers), proposes A/B tests for price sensitivity, and outlines an ongoing optimization process with metrics, tools, and review cadence to balance competitiveness and profitability.

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 keyRequired?DescriptionDefaults
Target marketRequired(none)
Product DescriptionRequired(none)
Production cost per unitRequired(none)
Main competitors & their pricesRequired(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:
    • Target market
    • Product Description
    • Production cost per unit
    • Main competitors & their prices
  • Optional: model and options.
    • Present the human with the default model gpt-4.1-mini and its available options. Look up gpt-4.1-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-4.1-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 develop-pricing-strategy).

Command form:

betterprompt generate develop-pricing-strategy \
  [--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-4.1-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 develop-pricing-strategy \
  --input Target market=<value> \
  --input Product Description=<value> \
  --input Production cost per unit=<value> \
  --input Main competitors & their prices=<value> \
  --model gpt-4.1-mini \
  --options '{}'
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