local-store-review-business-diagnosis

local-store-review-business-diagnosis Business Diagnosis Assistant

Quick Start

More Skills

Overview

The Business Diagnosis Assistant is used to answer "how should this be done," store operations, review analysis, and local life. It is suitable for operations, marketing, retail, and content media to call after clarifying business goals, content materials, or analysis targets. It will combine inputs such as store review content, pasted reviews, Meituan, Xiaohongshu, map reviews, customer service records, or private domain feedback, organize key context, and output summaries, diagnostic conclusions, action recommendations, and reusable deliverables for continued execution, review, or delivery.

When to Use

Applicable Scenarios

• The user asks questions such as "how should this be done," requiring a quick breakdown of goals, identification of priorities, and formation of executable results
• Operations, marketing, retail, and content media need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the Business Diagnosis Assistant
• The user has already prepared store review content (pasted reviews, Meituan, Xiaohongshu, map reviews, customer service records, or private domain feedback.), uploaded review exports (uploaded review tables, order feedback, customer service records, store data, or competitor reviews.), or public store links (publicly accessible store pages, review pages, group-buy pages, or map links.), and wants to organize them into executable analysis or optimization results
• The user needs to turn materials related to the Business Diagnosis Assistant into clear conclusions, priorities, and next steps

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 '{"storeReviewText":"门店评价内容"}'

Parameter Description

Parameter	Type	Required	Default	Description
storeReviewText	string	No	-	Paste reviews, Meituan, Xiaohongshu, map reviews, customer service records, or private domain feedback
reviewExportFile	string	No	-	Upload review tables, order feedback, customer service records, store data, or competitor reviews
storeListingLink	string	No	-	Enter publicly accessible store pages, review pages, group-buy pages, or map links; a complete accessible URL is required
storeDiagnosisFocus	string	No	差评根因	Select the direction that needs to be prioritized most in this local store review business diagnosis; optional values:差评根因、服务改进、卖点提炼、回复话术
recentOperationNotes	string	No	-	Supplement menu/service/price/staff/renovation/activity changes and completed rectifications
storeBusinessContext	string	No	-	Describe the city, business district, category, average customer spend, business hours, competitors, and recent activities

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

This skill directly accepts JSON parameters; if the parameters contain a link field, 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 '{"storeReviewText":"门店评价内容"}'

Equivalent --params JSON：

{
  "storeReviewText": "门店评价内容"
}

Example 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

• Summary, diagnostic conclusions, action recommendations, and reusable deliverables: organize the core results around user goals that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combine store review content (paste reviews from Dianping, Meituan, Xiaohongshu, maps, customer service records, or private domain feedback.), uploaded review exports (upload review tables, order feedback, customer service records, store data, or competitor reviews.), and public store links (fill in publicly accessible store pages, review pages, group-buying pages, or map links.) to extract key context and judgment basis.
• 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 "Business Diagnostic Assistant".
• Then check whether the results cover the summary, diagnostic conclusions, action recommendations, and reusable deliverables, and whether clear next steps are provided.
• If the input materials are limited, it is recommended to have the user supplement goals, audience, constraints, or raw 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