customer-research

Search internal and external sources to answer customer questions with attributed confidence scores.

Updated Mar 5, 2026

Search Tags:#documentation #information retrieval #knowledge base #support #customer research #customer context

Ready to run

npx skills add https://github.com/8GG-Git/knowledge-work-plugins --skill customer-research-8gg-git

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/8GG-Git/knowledge-work-plugins/tree/main/customer-support/skills/customer-research
Command: npx skills add https://github.com/8GG-Git/knowledge-work-plugins --skill customer-research-8gg-git

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of quickly finding accurate and relevant information to answer customer questions, understand their context, and resolve issues effectively by systematically searching across diverse data sources.

Core Features & Use Cases

Multi-Source Information Retrieval: Searches documentation, knowledge bases, CRMs, chat logs, and external web sources.
Confidence Scoring: Assesses and communicates the reliability of the gathered information.
Synthesis and Attribution: Combines findings from multiple sources and clearly cites origins.
Use Case: A customer asks about a specific feature's compatibility with their unique setup. This Skill can search product documentation, past support tickets, and internal discussions to provide a confident, well-sourced answer.

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 find accurate answers to customer questions from multiple internal sources?▼

To find accurate answers to customer questions, this Skill systematically searches across documentation, knowledge bases, CRMs, and chat logs, synthesizing the findings into a single response with clear attribution.

How does confidence scoring work for retrieved customer information?▼

Confidence scoring assesses and communicates the reliability of gathered customer information by prioritizing authoritative sources during multi-source retrieval, then clearly indicating the confidence level alongside the synthesized answer.

Can I investigate a specific customer's account context using past support tickets and internal discussions?▼

Yes, you can investigate account context by searching past support tickets, team communications, and internal discussions, allowing you to understand unique customer setups and resolve issues effectively with sourced information.

What is the best way to answer a customer about feature compatibility with their unique setup?▼

The best way to answer feature compatibility questions is to search product documentation, past support tickets, and internal discussions simultaneously, synthesizing the results into a confident, well-sourced answer.

How do I synthesize information from external web sources and internal knowledge bases without losing attribution?▼

To synthesize information without losing attribution, this Skill combines findings from external web sources and internal knowledge bases while explicitly citing the origins of each piece of information in the final output.