inquiry-response

Classify customer inquiries and generate multilingual replies from templates.

2|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/Wike-CHI/acquisition-agent --skill inquiry-response
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inquiry-response
Source: https://github.com/Wike-CHI/acquisition-agent/tree/main/skills/inquiry-response
Command: npx skills add https://github.com/Wike-CHI/acquisition-agent --skill inquiry-response

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and templates (resource) components.

What problem does it solve?

This Skill automates intelligent responses to customer inquiries and objections.

Core Features & Use Cases

  • Classification engine for routing inquiries into categories A01-A15 and selecting appropriate multilingual responses.
  • Reference library integration with product FAQs, business policies, and multilingual objection templates.
  • Templates-driven replies across languages, with a humanizer pass to ensure natural tone.

Quick Start

Provide an inbound customer message and the skill will classify it, fetch appropriate references, and generate a ready-to-send reply.

Frequently Asked Questions about inquiry-response

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate responses to customer inquiries from inbound emails and forms?

To automate inquiry responses, provide an inbound customer message for classification into categories like objections or technical questions, fetch references, and generate a ready-to-send reply using templates.

Can I generate multilingual sales support replies for different objection categories?

Yes, multilingual sales support replies are generated through a classification engine routing inquiries into categories A01-A15, fetching multilingual objection templates, and applying a humanizer pass for natural tone.

What's the best way to ensure automated customer service responses sound natural and compliant?

Automated customer service responses sound natural and compliant through post-processing with a humanizer pass, ensuring replies generated from templates and references maintain a conversational tone.

Does this inquiry response tool work without external dependencies or API connections?

This inquiry response tool works without external dependencies, using YAML frontmatter for configuration and internal reference and template lookups to classify inquiries and generate replies.

How do I set up YAML configuration for classifying technical questions and terms inquiries?

YAML configuration for classifying technical questions and terms inquiries is set up by defining routing categories, integrating reference libraries for product FAQs, and specifying business policies for response generation.