ai-higgsfield-product-photoshoot

ai-higgsfield-product-photoshoot Product Photoshoot Assistant

Quick Start

More Skills

Overview

The Product Photoshoot Assistant is used to answer "Do the product images look premium?", organize materials, clean data, and identify action items. It is suitable for operations, product, sales, and software to call 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 diagnostics, selling points and risk alerts, and operational action recommendations, making it easy to continue execution, review, or delivery. Capability positioning note: skills.sh all-time/trending signals show that higgsfield-product-photoshoot has user demand; the platform presents it as an ecommerce_retail business assistant directory, outputting reviewable diagnostics, recommendations, or production preparation packages.

When to Use

Applicable Scenarios

• Users ask questions like "Do the product images look premium?" and need to quickly break down goals, determine priorities, and form executable results
• Operations, product, sales, and software need to generate product/store diagnostics, selling points and risk alerts, and operational action recommendations around the Product Photoshoot Assistant
• Users have already prepared operational goals (explain the click, conversion, repurchase, inventory, profit, review, or campaign goals to be optimized.), target buyers (explain the target buyers, market, platform, channel, or use scenario.), and product or store links (fill in publicly accessible product, store, competitor, review, or platform page links.) and hope to organize them into executable analysis or optimization results
• Users need to turn Product Photoshoot Assistant-related materials into clear conclusions, priorities, and next-step actions

How to Call

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

Command Example

Basic Call

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

Call 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 to be optimized
audience	string	No	-	Explain the target buyers, market, platform, channel, or use scenario
materialUrl	string	No	-	Fill in publicly accessible product, store, competitor, review, or platform page links; a complete accessible URL must be provided
materialFile	string	No	-	Upload product materials, review tables, 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, content that cannot be promised, or key points for manual review

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

Parameter Value Reference

This skill currently has no categorical parameters that require additional table 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 following example parameters 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 alerts, operational action recommendations: organize core results around the user's goals that can be directly read, reviewed, or delivered.
• Input material interpretation: combine operational goals (explain the click-through, conversion, repurchase, inventory, profit, review, or campaign goals you want to optimize.), target buyers (explain the target buyers, market, platform, channel, or usage scenario.), product or store links (provide publicly accessible product, store, competitor, review, or platform page links.) to extract key context and the basis for judgment.
• Next steps: provide priorities, execution recommendations, or a content framework that can be further processed.

Suggestions for using the results

• First determine whether the output answers the user's core questions about the "Product Photo Assistant".
• Then check whether the results cover product/store diagnosis, selling points and risk alerts, operational action recommendations, and whether they provide clear next steps.
• If there is little input material, it is recommended to have the user supplement 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