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...
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---
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 key | Required? | Description | Defaults |
| --- | ---: | --- | --- |
| `Target market` | Required | | (none) |
| `Product Description` | Required | | (none) |
| `Production cost per unit` | Required | | (none) |
| `Main competitors & their prices` | 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:
```bash
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:
```bash
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:
```bash
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):
```bash
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 '{}'
```