seasonal-merchandising-plan

---

name: seasonal-merchandising-plan description: This prompt instructs the AI to act as a seasonal retail merchandiser and produce a complete four-quarter merchandising plan for a specific store by assuming or filling in missing details (store type, location, product focus, brand style, and business goal). The expected outcome is a season-by-season set of in-store display concepts with promotional hooks plus low-cost suburban marketing tactics—such as flyers, events, and email—aligned to the desired store vibe and the stated business objective. 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 seasonal retail merchandiser and produce a complete four-quarter merchandising plan for a specific store by assuming or filling in missing details (store type, location, product focus, brand style, and business goal). The expected outcome is a season-by-season set of in-store display concepts with promotional hooks plus low-cost suburban marketing tactics—such as flyers, events, and email—aligned to the desired store vibe and the stated business objective.

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
insert_location	Required		(none)
insert_brand_style	Required		(none)
insert_business_goal	Required		(none)
insert_product_focus	Required		(none)
insert_type_of_store	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:
  • insert_location
  • insert_brand_style
  • insert_business_goal
  • insert_product_focus
  • insert_type_of_store
• 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 seasonal-merchandising-plan).

Command form:

betterprompt generate seasonal-merchandising-plan \
  [--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 seasonal-merchandising-plan \
  --input insert_location=<value> \
  --input insert_brand_style=<value> \
  --input insert_business_goal=<value> \
  --input insert_product_focus=<value> \
  --input insert_type_of_store=<value> \
  --model gpt-4.1-mini \
  --options '{}'