Coding

Amazon 商品 FAQ 建议

Try it

从评论疑问提炼商品页 FAQ 建议

What it does

从 Amazon 评论中的重复疑问和商品字段中提炼商品页 FAQ 主题与回答证据。仅用于 FAQ 主题建议；不用于客服自动回复、法律审核或自动发布。 Requires an ARI API key (ari_live_*).

The skill document

FAQ Generator

Creates FAQ lists from medical documents.

Features

  • Automatic Q&A generation
  • Policy interpretation
  • Patient-friendly language
  • Structured formatting

Parameters

ParameterTypeDefaultRequiredDescription
--input, -istring-YesSource document file path
--audience, -astringgeneralNoTarget audience (patients, researchers, general)
--output, -ostringstdoutNoOutput file path
--format, -fstringjsonNoOutput format (json, markdown, text)

Output Format

{
  "faqs": [{"question": "", "answer": ""}],
  "topic": "string"
}

Risk Assessment

Risk IndicatorAssessmentLevel
Code ExecutionNo scripts includedLow
Network AccessNo external API callsLow
File System AccessRead-only within workspaceLow
Instruction TamperingStandard prompt guidelinesLow
Data ExposureInput/output within sessionLow

Security Checklist

  • No hardcoded credentials or API keys
  • No unauthorized file system access (../)
  • No network requests to external services
  • Output does not expose sensitive information
  • Prompt injection protections in place

Evaluation Criteria

Success Metrics

  • FAQ accurately represents source document content
  • Language is appropriate for specified audience (patients/researchers)
  • Questions cover key points of the document
  • Answers are clear, concise, and medically accurate
  • Format follows structured JSON schema

Test Cases

  1. Basic FAQ Generation: Input simple medical protocol → Output valid FAQ list
  2. Audience Adaptation: Same input with different audiences → Appropriate tone shift
  3. Complex Document: Input lengthy policy document → Comprehensive FAQ coverage
  4. Edge Case: Input ambiguous content → Handles gracefully with clarifying questions

Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-06
  • Known Issues: None
  • Planned Improvements:
    • Add support for multi-language output
    • Enhance medical terminology handling

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