customer-research

Synthesize customer questions from multiple sources into confidence-scored answers.

1|Updated Mar 9, 2026

Search Tags:#research #crm #synthesis #confidence #sources #customer #knowledge-base

Ready to run

npx skills add https://github.com/kiryteo/opencode-setup --skill customer-research-kiryteo

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/kiryteo/opencode-setup/tree/main/skills/customer-research
Command: npx skills add https://github.com/kiryteo/opencode-setup --skill customer-research-kiryteo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Customer Research Skill enables teams to systematically investigate customer questions by aggregating information from official docs, knowledge bases, CRM history, and other connected sources, then delivering a concise, confidence-scored answer.

Core Features & Use Cases

Multi-source research: Collects and cross-references information from documentation, knowledge bases, CRM history, and team chats to build a complete picture.
Confidence-guided answers: Synthesizes findings and attaches a transparency confidence level to guide next steps.
Use case examples: Build customer context, prepare account briefs, or respond to customer inquiries that require background context.

Quick Start

Summarize the most relevant customer context by pulling from documentation, knowledge bases, and CRM history, and present a concise, confidence-rated 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 from multiple sources like CRM history and knowledge bases?▼

Customer research synthesis aggregates data from CRM history, knowledge bases, and documentation to build a complete account context. It cross-references these sources to deliver a concise, multi-source validated answer for your customer inquiries.

What is a confidence-scored answer for customer inquiries?▼

A confidence-scored answer provides a transparent confidence level attached to synthesized customer research findings. This assessment guides customer-facing recommendations by explicitly indicating the reliability of the aggregated information.

How do I prepare account briefs using background research from documentation?▼

Prepare account briefs by pulling relevant context from official docs, knowledge bases, and CRM history. The research process summarizes this background information into a concise, confidence-rated answer to support your account preparation.

Does multi-source customer research require explicit source attribution?▼

Yes, multi-source customer research requires explicit source attribution to maintain transparency. It clearly identifies where information was pulled from across your documentation, CRM history, and knowledge bases to guide reliable recommendations.

When do I need multi-source validation for customer inquiries?▼

Multi-source validation is needed when responding to complex customer inquiries that require deep background context. It ensures your answers are accurate by cross-referencing team chats, CRM history, and documentation before delivering a confidence-scored response.