yao-business-skill

Analyze business models, audit products, and compare competitors using structured data and AI tools.

1.3k|143|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/yaojingang/yao-open-skills --skill yao-business-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: yao-business-skill
Source: https://github.com/yaojingang/yao-open-skills/tree/main/skills/yao-business-skill
Command: npx skills add https://github.com/yaojingang/yao-open-skills --skill yao-business-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, scikit-learn, matplotlib, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This skill addresses the need for in-depth analysis of business models, product auditing, and competitor comparison in real-world scenarios.

Core Features & Use Cases

  • Business Model Analysis: Design, diagnose, and study business models from ideas, product websites, or company names.
  • Product Auditing: Audit existing products, websites, or companies to evaluate their monetization and competitiveness.
  • Competitor Comparison: Compare direct competitors and cross-industry analogs to gain insights into the market.
  • Use Case: For a new business idea, use the skill to generate 3-5 business model options, audit an existing product's monetization, or analyze a mature company's model and AI-era upgrade paths.

Quick Start

Use the yao-business-skill to analyze the business model of a new startup, 'TechStart', focusing on market fit, competitive positioning, and AI opportunities.

Frequently Asked Questions about yao-business-skill

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

FAQPage Schema
How do I analyze a business model for a new startup idea?

To analyze a business model, you input your startup idea, product website, or company name. The skill generates 3-5 business model options, evaluating market fit, competitive positioning, and AI-era upgrade paths using structured data and AI tools.

How do I audit an existing product's monetization and competitiveness?

You audit product monetization by inputting the existing product or website data. The skill evaluates its current monetization strategies and overall competitiveness to provide actionable strategic decision-making insights.

What's the best way to compare direct competitors and cross-industry analogs?

The best way to compare competitors is using structured data processing and machine learning. This skill evaluates direct competitors and cross-industry analogs to deliver comprehensive market research and competitive analysis insights.

Do I need Python libraries like pandas and scikit-learn for competitor comparison?

Yes, you need Python libraries including pandas, numpy, scikit-learn, and matplotlib. These dependencies are required for data processing, machine learning applications, and data visualization during competitor comparison and product auditing.

Does this business model analysis tool work with open-source AI workbenches?

Yes, the business model analysis tool supports open-source platforms and is compatible with AI workbenches. It integrates structured data with AI tools to perform product audits and strategic market research.

When should I use machine learning for market research and product auditing?

You should use machine learning for market research when diagnosing complex business models or comparing cross-industry analogs. It processes structured data to reveal competitive positioning and AI-era upgrade opportunities.

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