bmad-domain-research

Conduct structured domain research with industry, competitive, regulatory, and technical analyses.

Updated May 22, 2026
One-click install
npx skills add https://github.com/JaronTam/SDONE --skill bmad-domain-research-jarontam
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-domain-research
Source: https://github.com/JaronTam/SDONE/tree/main/.agents/skills/bmad-domain-research
Command: npx skills add https://github.com/JaronTam/SDONE --skill bmad-domain-research-jarontam

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the need for in-depth domain and industry research, providing a structured approach to gather and analyze data, enabling informed decision-making and strategic planning.

Core Features & Use Cases

  • Domain Research Workflow: A structured process to conduct comprehensive research, including goal setting, scope confirmation, industry analysis, competitive landscape, regulatory focus, technical trends, and research synthesis.
  • Expert Collaboration: Facilitates collaboration with domain experts to ensure accurate and up-to-date information.
  • Data Verification: Ensures all information is verified against current public sources and authoritative sources.
  • Use Case: For a company considering entering a new market, this Skill can be used to gather and analyze data on the industry, competitors, regulations, and technology trends to make an informed decision.

Quick Start

Use the bmad-domain-research skill to begin a research project on the "healthcare technology industry".

Frequently Asked Questions about bmad-domain-research

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

FAQPage Schema
How do I conduct comprehensive domain research for industry and competitive analysis?

Comprehensive domain research is conducted through a structured workflow covering industry analysis, competitive landscape, regulatory focus, and technical trends, utilizing Python scripts for data processing and expert collaboration to synthesize findings.

What is the best way to structure a market entry research workflow?

The best way to structure market entry research is by following sequential steps: goal setting, scope confirmation, industry analysis, competitive landscape mapping, regulatory focus, technical trends analysis, and final research synthesis to inform strategic planning.

Can I use Python scripts to process data for technical trends analysis?

Yes, Python scripts are utilized for data processing and analysis within the domain research workflow, specifically to handle and evaluate data gathered during technical trends and competitive landscape assessments.

Does domain research require collaboration with industry experts to verify information?

Yes, domain research requires collaboration with domain experts alongside web search capabilities to verify information against current public sources and authoritative references for accurate strategic planning.

What is included in a regulatory focus analysis for a new market?

Regulatory focus analysis involves gathering and evaluating regulatory data as part of the structured domain research workflow, ensuring that all compliance factors are verified against current public sources before market entry decisions.

When should I not use a structured domain research workflow for competitive analysis?

A structured domain research workflow may not be suitable when rapid, ad-hoc competitive insights are needed, as it requires comprehensive scope confirmation, expert collaboration, and multi-step synthesis to produce verified strategic planning outputs.