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support-customer-research

Search documentation, knowledge bases, CRM data, and logs to answer customer inquiries.

114|13|Updated Jan 17, 2026
Search Tags:#documentation#research#knowledge base#customer support#CRM#information synthesis
One-click install
npx skills add https://github.com/frumu-ai/tandem --skill support-customer-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: support-customer-research
Source: https://github.com/frumu-ai/tandem/tree/main/src-tauri/resources/skill-templates/support-customer-research
Command: npx skills add https://github.com/frumu-ai/tandem --skill support-customer-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of quickly and accurately understanding customer issues by systematically gathering and synthesizing information from various internal and external sources.

Core Features & Use Cases

  • Multi-Source Information Gathering: Searches across documentation, knowledge bases, CRMs, and communication logs.
  • Contextual Understanding: Builds a comprehensive picture of customer situations and account histories.
  • Confidence-Scored Answers: Provides answers with a clear indication of reliability based on source quality.
  • Use Case: A customer support agent needs to understand a complex technical issue a VIP client is facing. This Skill can pull relevant bug reports, past support tickets, internal technical documentation, and recent communication logs to provide a synthesized overview and potential solutions.

Quick Start

Research customer questions by searching across documentation, knowledge bases, and connected sources.

Frequently Asked Questions about support-customer-research

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

FAQPage Schema
How do I research customer inquiries using CRM data and knowledge bases?▼

Synthesize customer inquiries by systematically searching and aggregating information across CRM data, knowledge bases, and communication logs. This process prioritizes authoritative internal sources to build a comprehensive contextual picture of the account history.

What is the best way to synthesize customer support information from multiple sources?▼

Synthesize customer support information by aggregating data from official documentation, CRMs, and communication logs. This approach builds a comprehensive contextual picture of the customer situation and provides confidence-scored answers based on source quality.

Does this approach prioritize internal documentation over external sources for account management?▼

Yes, this approach prioritizes authoritative internal documentation, knowledge bases, and CRM data over external sources. It extracts account history and communication logs to provide confidence-scored answers for customer support and account management scenarios.

How do I get confidence-scored answers for complex technical customer issues?▼

Obtain confidence-scored answers by pulling relevant bug reports, past support tickets, internal technical documentation, and communication logs. The system synthesizes these diverse sources to provide a clear indication of reliability based on source quality.

When do I need to aggregate communication logs for customer support research?▼

Aggregate communication logs for customer support research when an agent needs to understand a complex technical issue a VIP client is facing. It synthesizes past tickets and internal documentation to provide potential solutions.

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