ai-local-pois

ai-local-pois Local POI Screening Assistant

Overview

The Local POI Screening Assistant is used to answer "How should nearby POIs be selected?", 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 location requirements or candidate lists, pasted location requirements, candidate lists, budget, travel range, preference conditions, or review excerpts, organizes the key context, and outputs business diagnostics, local marketing suggestions, and execution checklists for further execution, review, or delivery.

When to Use

Applicable Scenarios

When users ask questions such as "How should nearby POIs be selected?" and need to quickly break down goals, determine priorities, and form executable results
When operations, product, sales, and software need to generate business diagnostics, local marketing suggestions, and execution checklists around the Local POI Screening Assistant
When users have already prepared screening goals (explaining the recommendation, comparison, route, budget, risk verification, or final decision to be completed), travel or usage subjects (explaining the number of people, roles, preferences, scenarios, transportation methods, or activity types), and locations or map links (providing publicly accessible links to maps, stores, locations, reviews, or candidate pages), and want to organize them into executable analysis or optimization results
When users need to turn materials related to the Local POI Screening Assistant into clear conclusions, priorities, and next steps

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":"筛选目标"}'

Parameter Description

Parameter	Type	Required	Default	Description
`goal`	string	No	-	Explain the recommendation, comparison, route, budget, risk verification, or final decision to be completed
`audience`	string	No	-	Explain the number of people, roles, preferences, scenarios, transportation methods, or activity types
`materialUrl`	string	No	-	Provide publicly accessible links to maps, stores, locations, reviews, or candidate pages; a complete accessible URL is required
`materialFile`	string	No	-	Upload a location list, review table, activity requirements, budget table, or research materials
`materialText`	string	No	-	Paste location requirements, candidate lists, budget, travel range, preference conditions, or review excerpts
`brandRequirements`	string	No	-	Supplement the time range, budget cap, distance limit, business requirements, pitfalls to avoid, or manual verification priorities

For the complete machine-readable parameter structure, see 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 a parameter contains 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 '{"goal":"筛选目标"}'

Equivalent --params JSON：

{
  "goal": "筛选目标"
}

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

Business diagnosis, local marketing recommendations, and execution checklist: organize the core results around user goals that can be directly read, reviewed, or delivered.
Interpretation of input materials: combine the filtering goals (explain the recommendation, comparison, route, budget, risk verification, or final decision to be completed.), travel or usage subjects (explain the number of people, roles, preferences, scenarios, transportation methods, or activity types.), and location or map links (fill in publicly accessible map, store, location, review, or candidate page links.) to extract key context and judgment basis.
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 “Local POI Screening Assistant”.
Then check whether the results cover the business diagnosis, local marketing recommendations, and execution checklist, and whether clear next steps are provided.
If there is little input material, 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