research-skill

Conduct structured multi-source technology research with evidence-based confidence scoring.

1|1|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/dtsong/claude-code-windows-setup --skill research-skill-dtsong
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-skill
Source: https://github.com/dtsong/claude-code-windows-setup/tree/main/skills/research-consulting-skills/research-skill
Command: npx skills add https://github.com/dtsong/claude-code-windows-setup --skill research-skill-dtsong

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of conducting in-depth technology research, from initial landscape scans to comparative analysis, ensuring rigorous evidence gathering and reliable findings.

Core Features & Use Cases

  • Structured Research Process: Follows a 5-phase methodology (Prior Art, Landscape Scan, Evidence Gathering, Comparative Analysis, Handoff) for comprehensive research.
  • Source Orchestration: Prioritizes and synthesizes information from multiple source types (academic, industry, vendor, etc.) with defined confidence levels.
  • Use Case: When evaluating new cloud security vendors, this skill can perform a landscape scan, gather detailed evidence on shortlisted candidates across security, viability, and cost dimensions, and produce a comparative analysis report.

Quick Start

Use the research skill to conduct a landscape scan for AI-powered customer support platforms.

Frequently Asked Questions about research-skill

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

FAQPage Schema
How do I conduct a structured technology landscape scan for vendor comparison?

A technology landscape scan identifies and compares solutions based on defined criteria by profiling candidates, gathering evidence across multiple sources, and producing a comparative analysis report for adoption decisions.

What is the best way to gather evidence for technology adoption decisions?

The best way to gather evidence for technology adoption decisions is triangulating multiple source types, such as academic, industry, and vendor materials, while applying strict source hierarchy and evidence-based confidence scoring.

Can I use structured research to evaluate cloud security vendors across specific dimensions?

Yes, structured research can evaluate cloud security vendors by performing a landscape scan, gathering detailed evidence on shortlisted candidates across security, viability, and cost dimensions, and producing a comparative analysis report.

How does source hierarchy and confidence scoring work in comparative analysis?

Source hierarchy and confidence scoring work in comparative analysis by prioritizing and synthesizing information from multiple source types, assigning defined confidence levels to ensure reliable findings and rigorous evidence gathering.

What are the phases of a structured technology research process?

The structured technology research process follows a 5-phase methodology: Prior Art, Landscape Scan, Evidence Gathering, Comparative Analysis, and Handoff, ensuring comprehensive research from initial scans to final reporting.

When do I need multi-source technology research for evaluating solutions?

You need multi-source technology research when evaluating new solutions, such as AI-powered customer support platforms, requiring rigorous evidence gathering, candidate profiling, and reliable comparative analysis to support adoption decisions.