ai-ecommerce-checkout-optimization

ai-ecommerce-checkout-optimization Checkout Conversion Diagnostic Assistant

Quick Start

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Overview

The checkout conversion diagnostic assistant is used to answer "why is checkout churn happening," organize materials, clean data, and create action items. It is suitable for operations, product, sales, and software to use after clarifying business goals, content materials, or analysis targets. It combines inputs such as products, stores or operations materials, pasted product information, store pages, review materials, competitor information, sales goals, or channel requirements, organizes key context, and outputs operations diagnostics, product/traffic optimization suggestions, and execution checklists, making it easy to continue execution, review, or delivery.

When to Use

Applicable Scenarios

• The user asks questions such as "why is checkout churn happening" and needs to quickly break down goals, identify priorities, and form executable results
• Operations, product, sales, and software need to generate operations diagnostics, product/traffic optimization suggestions, and execution checklists around the checkout conversion diagnostic assistant
• The user has already prepared operations goals (explain the click, conversion, repurchase, inventory, profit, review, or campaign goals they want to optimize.), target buyers (explain the target buyers, market, platform, channel, or use scenario.), and product or store links (provide publicly accessible product, store, competitor, review, or platform page links.), and wants to organize them into executable analysis or optimization results
• The user needs to turn materials related to the checkout conversion diagnostic assistant into clear conclusions, priorities, and next-step actions

How to Call

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

Command Examples

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 optimize
audience	string	No	-	Explain the target buyers, market, platform, channel, or use scenario
materialUrl	string	No	-	Provide publicly accessible product, store, competitor, review, or platform page links; a complete accessible URL must be passed
materialFile	string	No	-	Upload product materials, review sheets, competitor screenshots, operations data, store plans, or material 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 manual review priorities

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 lookup tables.

Supported Input Formats

This skill directly accepts JSON parameters; if the parameters include link fields, please pass complete, accessible URLs.

Example Request

The example parameters below can be passed directly to scripts/run.py, 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

• Operational diagnosis, product/traffic optimization suggestions, execution checklist: core results organized around user goals that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combine operational goals (explain the desired optimization of clicks, conversion, repeat purchases, inventory, profit, reviews, or campaign goals.), target buyers (explain the target buyers, market, platform, channel, or use scenario.), product or store links (fill in publicly accessible product, store, competitor, review, or platform page links.) to extract key context and judgment basis.
• Next actions: 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 "Checkout Conversion Diagnosis Assistant".
• Then check whether the results cover the operational diagnosis, product/traffic optimization suggestions, execution checklist, and whether clear next actions are provided.
• 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