ai-amazon-dayparting-strategy

ai-amazon-dayparting-strategy Amazon Dayparting Assistant

Quick Start

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Overview

The Amazon Dayparting Assistant is used to answer "what times are more worthwhile for ad delivery," 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 products, stores, 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 supplement: the skills.sh hot signal shows that amazon-dayparting-strategy has user demand; the platform displays it as an ecommerce_retail business assistant directory, outputting reviewable diagnostics, recommendations, or production preparation packages.

When to Use

Applicable Scenarios

• The user raises questions such as "what times are more worthwhile for ad delivery" and needs 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 Amazon Dayparting Assistant
• The user has already prepared operational goals (explain the click, conversion, repurchase, inventory, profit, review, or campaign goals they hope to optimize.), 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 hopes to organize them into executable analysis or optimization results
• The user needs to turn materials related to the Amazon Dayparting Assistant into clear conclusions, priorities, and next-step actions

How to Invoke

Directly call the AI Skills API through the exported Python runner:

Command Examples

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 they hope to optimize
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 sheets, competitor screenshots, operational 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, 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 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 alerts, operational action recommendations: organize core results around the user's goals that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combine the operational goals (explain the desired optimization targets for clicks, conversion, repurchase, inventory, profit, reviews, or campaign goals.), target buyers (explain the target buyers, market, platform, channel, or usage scenario.), product or store links (fill in publicly accessible product, store, competitor, review, or platform page links.) to extract key context and the basis for judgment.
• 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 "Amazon Time-of-Day Delivery Assistant".
• Then check whether the results cover product/store diagnosis, selling points and risk alerts, operational action recommendations, and whether clear next steps 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