luopan-industry

Evaluate industry value chains, competitive landscapes, and profit pools.

311|35|Updated Jul 4, 2026
One-click install
npx skills add https://github.com/zhangxiaoqiang1991/luopan --skill luopan-industry
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: luopan-industry
Source: https://github.com/zhangxiaoqiang1991/luopan/tree/main/modes/industry
Command: npx skills add https://github.com/zhangxiaoqiang1991/luopan --skill luopan-industry

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the problem of information overload in industry research by filtering out noise and providing actionable, judgment-based insights rather than generic encyclopedic summaries.

Core Features & Use Cases

  • Structured Industry Analysis: Evaluates industry structure, value chains, competitive landscapes, and profit pools using a rigorous 8-indicator power-ranking framework.
  • Adversarial Validation: Employs a挑刺者 (devil's advocate) perspective to ensure all assertions are backed by data and logic.
  • Use Case: If you are a product manager or investor evaluating whether to enter the AI Agent market, this Skill will map the power dynamics, identify the most profitable segments, and provide a data-backed recommendation on where to enter.

Quick Start

Use the luopan-industry skill to conduct a comprehensive research report on the AI Agent industry including competitive landscape and profit distribution.

Frequently Asked Questions about luopan-industry

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

FAQPage Schema
How do I conduct competitive analysis and map profit pools for a specific industry?

To conduct competitive analysis and map profit pools, evaluate industry value chains using an 8-indicator power-ranking framework. This filters information overload by mapping competitive landscapes and power dynamics to identify the most profitable segments.

What is adversarial validation in industry research and how does it work?

Adversarial validation in industry research employs a devil's advocate perspective to ensure all assertions are backed by data and logic. It challenges conclusions through multi-perspective data synthesis to deliver actionable, judgment-based insights rather than generic summaries.

How to assess market entry strategy for a new industry using value chain analysis?

Assess market entry strategy by evaluating industry structure, value chains, and competitive landscapes. This provides a data-backed recommendation on where to enter by identifying the most profitable segments and mapping power dynamics.

Does this industry research approach provide investment decision-making support for specific markets?

Yes, this industry research approach supports professional investment decision-making by evaluating value chains, competitive landscapes, and profit pools. It provides actionable judgments through rigorous source verification and multi-perspective data synthesis.

Can I use strategic planning frameworks for career decision-making in a specific industry?

You can use strategic planning frameworks for career decision-making by evaluating industry structure and competitive landscapes. This analysis provides actionable judgments on where to enter based on profit distribution and power dynamics.

What is the best way to filter information overload and get actionable insights in industry research?

The best way to filter information overload in industry research is applying structured analysis with an 8-indicator power-ranking framework. This filters noise and provides actionable, judgment-based insights rather than generic encyclopedic summaries.