bmad-market-research

Conduct market research with Python data processing and markdown documentation.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, requests, beautifulsoup4, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of conducting market research, providing a structured approach to gather insights, analyze data, and generate strategic recommendations.

Core Features & Use Cases

  • Market Research Workflow: A step-by-step guide to conduct market research, including topic clarification, research steps, and document creation.
  • Customer Insights: Analyze customer behavior, segments, pain points, and decision-making processes.
  • Competitive Analysis: Assess the competitive landscape, market positioning, and strategies.
  • Strategic Recommendations: Offer actionable insights and recommendations for market entry or expansion.
  • Use Case: A user can initiate the skill by specifying a market research topic, and the skill will guide them through the entire research process, producing a comprehensive document with strategic recommendations.

Quick Start

Use the bmad-market-research skill to conduct market research on 'The electric vehicle market in Europe'.

Frequently Asked Questions about bmad-market-research

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

FAQPage Schema
How do I conduct comprehensive market research with strategic recommendations?

Comprehensive market research requires a structured workflow to analyze markets, gather customer insights, assess competitive landscapes, and generate actionable strategic recommendations. This Skill guides you through that entire process using Python for data processing.

What is the best way to analyze customer behavior and competitive positioning?

Analyzing customer behavior and competitive positioning involves examining customer segments, pain points, and decision-making processes alongside competitor strategies. This Skill automates these assessments using Python libraries like pandas and numpy for structured data analysis.

How do I start a market analysis workflow for a specific topic?

To start a market analysis workflow, you specify a research topic, and the Skill guides you step-by-step through topic clarification, research execution, and document creation to produce a comprehensive report with strategic recommendations.

Can I use Python and BeautifulSoup for market research data gathering?

Yes, market research data gathering can utilize Python and BeautifulSoup for web scraping, alongside pandas and numpy for data processing. These dependencies enable automated collection and analysis of market and competitive data.

Does this market research approach provide strategic recommendations for market entry?

Yes, this approach provides strategic recommendations for market entry or expansion. It synthesizes market analysis, customer insights, and competitive assessments to offer actionable insights for your business strategy.

What format does the market research workflow output for documentation?

The market research workflow outputs documentation in markdown format. It utilizes Python scripts for data processing and analysis, generating a comprehensive markdown document with your research findings and strategic recommendations.