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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