ai-customer-support

ai-customer-support Customer Service Reply Assistant

Quick Start

More Skills

Overview

The customer service reply assistant is used to answer "how can customer service reply more reliably," organize materials, clean data, and identify action items. It is suitable for operations, product, sales, and software to use after clarifying business goals, content materials, or analysis targets. It will combine inputs such as documents, tables or records, pasted documents, tables, meeting notes, customer feedback, comment text, or materials to be organized, organize the key context, and output sales strategies, communication materials, and follow-up plans for continued execution, review, or delivery.

When to Use

Applicable Scenarios

• When users ask questions like "how can customer service reply more reliably," they need to quickly break down goals, determine priorities, and form executable results.
• Operations, product, sales, and software need to generate sales strategies, communication materials, and follow-up plans around the customer service reply assistant.
• The user has already prepared the organizing goal (explain the desired structured summary, cleaning rules, action items, gap reminders, or delivery purpose.), intended users (explain the audience, team, role, or business scenario the organized results should serve.), and material links (fill in publicly accessible documents, tables, pages, or material links; for restricted content, upload or paste instead.), and wants to organize them into executable analysis or optimization results.
• The user needs to turn materials related to the customer service reply assistant into clear conclusions, priorities, and next-step actions.

How to Invoke

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":"整理目标"}'

Parameter Description

Parameter	Type	Required	Default	Description
goal	string	No	-	Explain the desired structured summary, cleaning rules, action items, gap reminders, or delivery purpose.
audience	string	No	-	Explain the audience, team, role, or business scenario the organized results should serve.
materialUrl	string	No	-	Fill in publicly accessible documents, tables, pages, or material links; for restricted content, upload or paste instead; a complete accessible URL is required.
materialFile	string	No	-	Upload documents, tables, meeting minutes, customer materials, or comment data files.
materialText	string	No	-	Paste documents, tables, meeting notes, customer feedback, comment text, or materials to be organized.
brandRequirements	string	No	-	Supplement field definitions, time ranges, format requirements, unchangeable facts, sensitive information handling, 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

This skill currently accepts JSON parameters directly; 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":"整理目标"}'

Equivalent --params JSON：

{
  "goal": "整理目标"
}

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

• Sales strategy, communication materials, follow-up plan: organize directly readable, reviewable, or deliverable core results around user goals.
• Interpretation of input materials: combine the organization goal (explain the desired structured summary, cleanup rules, action items, gap reminders, or delivery purpose.), intended users (explain the audience, team, role, or business scenario the organized results should serve.), and material links (fill in publicly accessible document, spreadsheet, page, or material links; for restricted content, upload or paste instead.) 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 "customer service reply assistant".
• Then check whether the results cover the sales strategy, communication materials, and follow-up plan, and whether clear next steps are provided.
• If there is little input material, it is recommended to have the user supplement the goal, 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