customer-service-kb-gap-analysis

customer-service-kb-gap-analysis Business Diagnostic Assistant

Quick Start

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Overview

The business diagnostic assistant is used to answer "How should this be done," document processing, material review, and summarization. It is suitable for operations, product, marketing, and technical teams to invoke after clarifying business goals, content materials, or analysis targets. It combines customer service samples, pasted tickets, chat records, user questions, FAQ excerpts, or knowledge base excerpts; please first remove unnecessary... and other input, organize the key context, and output summaries, diagnostic conclusions, action recommendations, and reusable deliverables for continued execution, review, or delivery.

When to Use

Applicable Scenarios

• Users raise questions like "How should this be done," requiring a quick breakdown of goals, identification of priorities, and formation of actionable results
• Operations, product, marketing, and technical teams need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the business diagnostic assistant
• Users have already prepared diagnostic depth (diagnostic depth), diagnostic goals (e.g., reducing repetitive inquiries, completing launch FAQs, optimizing escalation paths, or unifying customer service messaging), and customer service samples (pasted tickets, chat records, user questions, FAQ excerpts, or knowledge base excerpts; please first remove unnecessary personal information), and wish to organize them into executable analysis or optimization results
• Users need to turn business diagnostic assistant-related materials into clear conclusions, priorities, and next steps

How to Invoke

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

Command Examples

Basic Invocation

python3 scripts/run.py --params '{}'

Invocation with Common Parameters

python3 scripts/run.py --params '{"reviewDepth":"快速缺口"}'

Parameter Description

Parameter	Type	Required	Default	Description
reviewDepth	string	No	标准诊断	Diagnostic depth; optional values:快速缺口、标准诊断、深度知识库计划
analysisGoal	string	No	-	For example, reducing repetitive inquiries, completing launch FAQs, optimizing escalation paths, or unifying customer service messaging
ticketSamples	string	No	-	Pasted tickets, chat records, user questions, FAQ excerpts, or knowledge base excerpts; please first remove unnecessary personal information
productContext	string	No	-	Supplement product features, user types, service policies, common limitations, and business background
currentKbContext	string	No	-	Fill in existing sections, article titles, macro scripts, customer service processes, or known gaps
ticketSamplesFile	string	No	-	Supports ticket samples or knowledge base files in docx, pdf, md, txt, csv, etc.

See the complete machine-readable parameter structure at references/form-schema.json。

Parameter Value Reference

This skill currently has no categorical parameters requiring additional lookup tables.

Supported Input Formats

This skill directly accepts JSON parameters and does not involve share link parsing.

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 '{"reviewDepth":"快速缺口"}'

Equivalent --params JSON：

{
  "reviewDepth": "快速缺口"
}

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

• Summary, diagnostic conclusions, action recommendations, and reusable deliverables: organize the core results around the user's goals that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combine diagnostic depth (diagnostic depth) and diagnostic goals (for example, reducing repeated inquiries, completing launch FAQs, optimizing escalation paths, or unifying customer service messaging.), customer service samples (paste tickets, chat records, user questions, FAQ excerpts, or knowledge base excerpts; please remove unnecessary personal information first.) to extract key context and the basis for judgment.
• Next steps: provide priorities, execution recommendations, or a content framework that can be further developed.

Suggestions for using the results

• First determine whether the output answers the user's core question 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 there is little input material, it is recommended to have the user supplement the goals, audience, constraints, or source 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