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.