bmad-market-research

Automate market research with customer behavior and competitive analysis.

1|Updated May 31, 2026
One-click install
npx skills add https://github.com/sfines/slf-llm-wiki-py --skill bmad-market-research-sfines
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-market-research
Source: https://github.com/sfines/slf-llm-wiki-py/tree/main/.agents/skills/bmad-market-research
Command: npx skills add https://github.com/sfines/slf-llm-wiki-py --skill bmad-market-research-sfines

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, google-cloud-platform, pandas, numpy, matplotlib, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of conducting comprehensive market research, including customer behavior analysis, competitive landscape assessment, and strategic recommendations, saving significant time and reducing manual errors.

Core Features & Use Cases

  • Market Research Automation: Automates the workflow of market research, from data collection to analysis and documentation.
  • Customer Behavior Analysis: Analyzes customer behavior, pain points, and decision-making processes.
  • Competitive Analysis: Provides insights into competitive positioning, strengths, weaknesses, and market opportunities.
  • Strategic Recommendations: Offers actionable recommendations for market entry, expansion, and growth strategies.
  • Use Case: A company can use this Skill to research the market for a new product, identifying customer needs, competitive landscape, and strategic opportunities.

Quick Start

Use the bmad-market-research skill to conduct a market research study on 'Electric Vehicles 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 automate market research for competitive analysis and customer behavior?

Automate market research by using scripts to process customer and competitive data, generating strategic recommendations. This workflow analyzes customer behavior and assesses the competitive landscape to deliver actionable market insights.

What is the best way to conduct competitive landscape assessment for new product development?

The best way to assess the competitive landscape for new product development is automating data collection and analysis. This process identifies competitor strengths, weaknesses, and market opportunities to inform strategic planning.

Do I need Python and Google Cloud Platform to run automated market research workflows?

Yes, you need Python, Google Cloud Platform, and data analysis libraries like pandas and numpy. These dependencies are required to execute the scripts that process market data and generate analytical insights.

Can I use pandas and numpy for customer behavior analysis in strategic planning?

Yes, you can use pandas and numpy to analyze customer behavior, pain points, and decision-making processes. These libraries process raw market data to support strategic planning and market expansion recommendations.

Does automated market research work for market expansion and strategic planning?

Yes, automated market research works for market expansion and strategic planning. It processes market data to identify customer needs and competitive opportunities, generating actionable recommendations for growth strategies.

What are the limitations of using automated scripts for market research and competitive analysis?

The main limitation of automated market research scripts is the dependency on Python and Google Cloud Platform environments. Users must ensure proper data integration and library setup to avoid manual errors in competitive analysis workflows.