customer-research

Aggregate customer insights from internal documents and external sources with citations.

Updated Apr 16, 2026
One-click install
npx skills add https://github.com/yethikrishna/humble --skill customer-research-yethikrishna
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/yethikrishna/humble/tree/main/core/kortix-master/opencode/skills/GENERAL-KNOWLEDGE-WORKER/customer-research
Command: npx skills add https://github.com/yethikrishna/humble --skill customer-research-yethikrishna

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams efficiently conduct multi-source research to answer customer questions, investigate account contexts, and build a comprehensive understanding of customer situations. It emphasizes authoritative sources, structured synthesis, and clear confidence communication.

Core Features & Use Cases

  • Multi-source gathering: Pulls information from internal documents, CRM notes, and external sources to form a complete picture.
  • Synthesis with attribution: Combines findings with citations and flags uncertainty.
  • Confidence-focused deliverables: Produces summaries with explicit confidence levels and actionable next steps. Use Case: Researching a customer account: compile product usage context, past interactions, and policy constraints into a concise brief.

Quick Start

Ask the AI to conduct a multi-source customer research run and deliver a sourced summary with clear attributions.

Frequently Asked Questions about customer-research

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

FAQPage Schema
What is multi-source customer research synthesis?

Multi-source customer research synthesis aggregates insights from internal documents, CRM notes, and external sources to form a complete picture of customer contexts, product usage, and account histories. It organizes findings into citation-ready summaries with explicit confidence levels and clear attributions.

How do I compile a customer account brief with clear attributions?

To compile a customer account brief, aggregate product usage context, past interactions, and policy constraints from multiple sources. The process requires structured synthesis to combine findings with citations, flag uncertainty, and produce a concise summary with explicit confidence levels.

Can I use internal CRM notes and external documents together for customer research?

Yes, you can use internal CRM notes and external documents together for customer research. The process pulls information from both internal documents and external sources to form a comprehensive understanding, ensuring all findings are presented with clear attributions and traceable citations.

What is the best way to ensure traceability when synthesizing customer insights?

The best way to ensure traceability when synthesizing customer insights is to use a process that requires structured synthesis, citation-ready summaries, and explicit confidence levels. This approach focuses on reproducibility and combines findings with clear attributions to flag uncertainty.

How does confidence-focused synthesis handle uncertain customer data?

Confidence-focused synthesis handles uncertain customer data by flagging uncertainty and producing summaries with explicit confidence levels. It combines findings from multiple sources into citation-ready summaries, ensuring traceability and clear communication of data limitations.