Verified:GitHub

customer-research

Research customer questions across documentation and knowledge bases with confidence scoring.

145|36|Updated Feb 26, 2026

Search Tags:#documentation #knowledge base #information synthesis #customer research #confidence scoring #account context

Ready to run

npx skills add https://github.com/w95/awesome-claude-corporate-skills --skill customer-research-w95

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/w95/awesome-claude-corporate-skills/tree/main/11-customer-success/customer-research
Command: npx skills add https://github.com/w95/awesome-claude-corporate-skills --skill customer-research-w95

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of investigating customer inquiries and understanding account contexts by systematically searching and synthesizing information from various sources.

Core Features & Use Cases

Multi-Source Investigation: Searches documentation, knowledge bases, CRM, support tickets, and more.
Confidence Scoring: Assesses and communicates the reliability of findings.
Use Case: A customer asks a complex question about a product feature. This Skill will search the official documentation, internal wikis, and recent support tickets to provide a comprehensive, confidence-scored 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 synthesize customer research across multiple documentation sources?▼

Synthesize customer research by searching documentation and knowledge bases, prioritizing authoritative sources, and aggregating findings into a structured answer with confidence scoring and attribution.

How does confidence scoring work for customer account context investigations?▼

Confidence scoring assesses the reliability of findings by evaluating source authority tiers. It communicates the certainty of synthesized information drawn from documentation, knowledge bases, and connected inputs.

What is the best way to answer complex customer questions using a knowledge base?▼

The best way to answer complex customer questions is conducting multi-source investigation across official documentation, internal wikis, and support tickets to generate a comprehensive, confidence-scored synthesis.

Can I investigate support tickets and CRM data to build comprehensive customer understanding?▼

Yes, you can investigate support tickets and CRM data. The process searches these connected sources to build comprehensive understanding of account contexts and answer customer inquiries systematically.

Does customer research require connected sources to prioritize authoritative information?▼

Customer research requires connected sources like documentation and knowledge bases. It uses a tiered source prioritization methodology to ensure authoritative information is favored during the synthesis process.

What are the limitations of multi-source customer research without source attribution?▼

Without source attribution, multi-source customer research loses transparency. The skill requires structured answer synthesis with explicit attribution to validate the confidence scoring of investigated account contexts.