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customer-research

Search documentation, knowledge bases, and support tickets to synthesize confidence-scored customer answers.

4|2|Updated Feb 2, 2026
Search Tags:#knowledge base#customer support#information synthesis#customer research#documentation search#account context
One-click install
npx skills add https://github.com/propane-ai/kits --skill customer-research-propane-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/propane-ai/kits/tree/main/plugins/CX/skills/customer-research
Command: npx skills add https://github.com/propane-ai/kits --skill customer-research-propane-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of efficiently gathering and synthesizing information from diverse sources to answer customer questions and build comprehensive account context.

Core Features & Use Cases

  • Multi-Source Information Gathering: Searches across documentation, knowledge bases, CRM, support tickets, and communications.
  • Confidence-Scored Answers: Synthesizes findings and clearly communicates the reliability of the information.
  • Use Case: A customer asks a complex question about a product feature. This Skill can search official documentation, past support tickets, and internal discussions to provide a well-researched, confidence-scored answer, saving the support agent significant investigation time.

Quick Start

Research customer questions by searching across documentation, knowledge bases, and connected sources, then synthesize a confidence-scored answer.

Frequently Asked Questions about customer-research

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

FAQPage Schema
How do I synthesize answers from multiple knowledge base sources for customer support?▼

This Skill conducts multi-source research by systematically searching and synthesizing information from prioritized documentation, knowledge bases, and connected sources to provide well-researched, confidence-scored answers for customer-facing inquiries.

Can I get confidence-scored answers when investigating account context from support tickets?▼

Yes, this Skill investigates account contexts by searching communications and support tickets, synthesizing the retrieved information into an answer that clearly communicates reliability through confidence scoring and source attribution.

What is the best way to retrieve product documentation and past support tickets for customer research?▼

The best way to retrieve this information is using a systematic search approach that queries official documentation and past support tickets simultaneously, synthesizing the results to save investigation time for support agents.

Does this customer research approach work without external dependencies for information synthesis?▼

Yes, this information synthesis approach operates without external dependencies, relying entirely on its internal references component to search and synthesize data from connected sources for customer inquiries.

When do I need confidence scoring and source attribution for customer-facing inquiries?▼

You need confidence scoring and source attribution when answering complex customer questions where reliability is critical, ensuring support agents can communicate the accuracy of synthesized information retrieved from multiple sources.

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