cs-customer-research

Name: cs-customer-research
Availability: InStock
Author: EvolutionAPI

Aggregate internal and external sources to answer customer questions with attributed references.

520|175|Updated Apr 8, 2026

Search Tags:#multi-source #knowledge-base #source-attribution #context-gathering #customer-research

Ready to run

npx skills add https://github.com/EvolutionAPI/evo-nexus --skill cs-customer-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cs-customer-research
Source: https://github.com/EvolutionAPI/evo-nexus/tree/main/.claude/skills/cs-customer-research
Command: npx skills add https://github.com/EvolutionAPI/evo-nexus --skill cs-customer-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables teams to perform multi-source research on customer questions, collecting evidence from internal and external sources and attributing sources clearly to support informed responses.

Core Features & Use Cases

Aggregate findings from internal docs, tickets, and external sources to answer customer questions
Attribution and confidence scoring to indicate reliability and context
Contextual briefing for customer support, product teams, or sales when preparing a response

Quick Start

Provide a concise, sourced briefing for a customer question by aggregating internal and external sources with clear attributions.

Frequently Asked Questions about cs-customer-research

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

FAQPage Schema

How do I synthesize answers to customer questions from multiple knowledge bases?▼

To synthesize answers from multiple knowledge bases, aggregate findings from internal docs, tickets, and external sources, then summarize findings with clear source attributions and confidence levels for customer-facing use.

How does source attribution and confidence scoring work for customer research?▼

Source attribution and confidence scoring work by applying search across internal and external sources, then clearly citing those references to indicate reliability and context for the summarized findings.

What is the best way to prepare a contextual briefing for customer support teams?▼

The best way to prepare a contextual briefing is to collect evidence from internal docs and external sources, apply confidence scoring, and summarize findings to support informed customer responses.

Can I use internal tickets and external sources together to answer customer questions?▼

Yes, you can use internal tickets and external sources together by applying multi-source research to collect evidence, attribute references clearly, and flag any gaps requiring specialist review.

How do I flag gaps requiring specialist review during customer research?▼

To flag gaps requiring specialist review, synthesize answers from multiple sources, evaluate confidence levels, and identify missing context or low-reliability evidence that needs escalation.

What are the limitations of multi-source customer research summarization?▼

Limitations include potential gaps in aggregated findings from internal docs and external sources, which require specialist review when confidence levels are low or reliable context is missing.