ai-higgsfield-marketplace-cards

ai-higgsfield-marketplace-cards Product Card Image Assistant

Quick Start

More Skills

Overview

The product card image assistant is used to answer "Are the product cards eye-catching enough?", organize materials, clean data, and identify action items. It is suitable for operations, product, sales, and software to invoke after clarifying business goals, content materials, or analysis targets. It combines inputs such as product, store, or operational materials, pasted product information, store pages, review materials, competitor information, sales goals, or channel requirements, organizes key context, and outputs product/store diagnoses, selling points and risk alerts, and operational action recommendations, making it easy to continue execution, review, or delivery. Capability positioning supplement: skills.sh all-time/trending signals show that higgsfield-marketplace-cards has user demand; the platform displays it as an ecommerce_retail business assistant directory, outputting reviewable diagnoses, recommendations, or production preparation packages.

When to Use

Applicable Scenarios

• Users ask questions such as "Are the product cards eye-catching enough?" and need to quickly break down goals, determine priorities, and form executable results.
• Operations, product, sales, and software need to generate product/store diagnoses, selling points and risk alerts, and operational action recommendations around the product card image assistant.
• Users have already prepared operational goals (explaining the click, conversion, repurchase, inventory, profit, review, or campaign goals they want to optimize), target buyers (explaining the target buyers, market, platform, channel, or use scenario), and product or store links (providing publicly accessible product, store, competitor, review, or platform page links), and want to organize them into executable analysis or optimization results.
• Users need to turn materials related to the product card image assistant into clear conclusions, priorities, and next-step actions.

How to Invoke

Call the AI Skills API directly through the exported Python runner:

Command Example

Basic Invocation

python3 scripts/run.py --params '{}'

Invocation with Common Parameters

python3 scripts/run.py --params '{"goal":"运营目标"}'

Parameter Description

Parameter	Type	Required	Default	Description
goal	string	No	-	Explain the click, conversion, repurchase, inventory, profit, review, or campaign goals you want to optimize.
audience	string	No	-	Explain the target buyers, market, platform, channel, or use scenario.
materialUrl	string	No	-	Enter publicly accessible product, store, competitor, review, or platform page links; a complete accessible URL is required.
materialFile	string	No	-	Upload product materials, review sheets, competitor screenshots, operational data, store plans, or asset files.
materialText	string	No	-	Paste product information, store pages, review materials, competitor information, sales goals, or channel requirements.
brandRequirements	string	No	-	Supplement platform rules, price boundaries, inventory constraints, brand restrictions, non-committable content, or key points for manual review.

See the complete machine-readable parameter structure at references/form-schema.json。

Parameter Value Reference

The current skill has no categorical parameters that require additional lookup.

Supported Input Formats

The current skill directly accepts JSON parameters; if the parameters include a link field, please pass a complete, accessible URL.

Example request

The example parameters below can be passed directly to scripts/run.py, and the runner will send them to the AI Skills API.

python3 scripts/run.py --params '{"goal":"运营目标"}'

Equivalent --params JSON：

{
  "goal": "运营目标"
}

Example return result

{
  "success": true,
  "data": {
    "message": "示例结果请以技能真实返回结构为准。"
  },
  "meta": {
    "executionTime": 842,
    "cached": false
  }
}

Deliverables

• Product/store diagnosis, selling points and risk warnings, operational action suggestions: organize the core results that can be directly read, reviewed, or delivered around the user's goals.
• Interpretation of input materials: extract key context and judgment basis based on the operational goal (state the click, conversion, repurchase, inventory, profit, review, or campaign goal you want to optimize.), target buyers (state the target buyers, market, platform, channel, or usage scenario.), and product or store links (fill in publicly accessible product, store, competitor, review, or platform page links.).
• Next steps: provide priorities, execution suggestions, or a content framework that can be further processed.

Suggestions for using the results

• First determine whether the output answers the user's core question about the "Product Card Image Assistant".
• Then check whether the results cover product/store diagnosis, selling points and risk warnings, and operational action suggestions, and whether they provide clear next steps.
• If the input materials are insufficient, it is recommended to have the user supplement the goals, audience, constraints, or original materials before running.

Preparation before running

• AISKILLS_BASE_URL: default https://ai-skills.ai
• AISKILLS_API_KEY: required, used for authenticated calls
• AISKILLS_TENANT_ID: default default