li-lu

Analyzes credit and prepayment risk in asset-backed securities portfolios.

Updated Apr 11, 2026
One-click install
npx skills add https://github.com/Talentedleo/financial_analyst --skill li-lu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: li-lu
Source: https://github.com/Talentedleo/financial_analyst/tree/main/skills/li-lu
Command: npx skills add https://github.com/Talentedleo/financial_analyst --skill li-lu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you turn a vague stock question into a disciplined, long-horizon investment thesis grounded in Li Lu’s civilization-cycle framework and value-investing principles.

Core Features & Use Cases

  • Civilization-cycle framing (1.0/2.0/3.0): Reinterprets business prospects by whether a society/industry is in (or transitioning toward) compound-growth conditions.
  • Value-first company analysis: Prioritizes intrinsic value, moat assessment, management quality, and risk of permanent capital loss.
  • Long-term, downside-oriented recommendations: Reframes short-term price concerns into 10–20 year business economics, including “what could go wrong” before “what could go right.”
  • Signature case study style: Uses known examples (e.g., BYD, Kweichow Moutai) as illustrative anchors without inventing undisclosed positions.

Quick Start

Ask the AI to analyze the stock with a Li Lu (李录) perspective, including a civilization-stage view, moat and management assessment, intrinsic value reasoning, and a downside/permanent-loss checklist.

Frequently Asked Questions about li-lu

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

FAQPage Schema
How do I analyze a stock's intrinsic value and downside risk using a long-term value investing framework?

To analyze intrinsic value and downside risk, you evaluate durable moats, management quality, and permanent capital loss risk, reframing short-term price concerns into 10–20 year business economics. This approach prioritizes what could go wrong before what could go right.

What is a civilization-cycle framework for stock analysis?

A civilization-cycle framework for stock analysis reinterprets business prospects by whether a society or industry is in, or transitioning toward, compound-growth conditions categorized as stages 1.0, 2.0, or 3.0. It grounds long-term value investing in broad societal and economic transitions.

How do I assess a company's moat and management quality for a long-term investment thesis?

Assessing a moat and management quality involves evaluating durable competitive advantages and leadership effectiveness within your circle of competence. This analysis uses historically grounded examples, like BYD or Kweichow Moutai, as illustrative anchors to frame 10–20 year business economics.

Can I use this value investing approach for any stock or business question?

You can apply this value investing approach to fundamental analysis scenarios where you need to identify durable moats, estimate intrinsic value, and assess downside risk. It requires defining circle-of-competence boundaries and demands sourced factual claims for all historically grounded examples.

What is the best way to evaluate permanent capital loss risk before investing?

The best way to evaluate permanent capital loss risk is through a downside-oriented checklist that prioritizes what could go wrong before what could go right. This reframes market narratives into long-term business economics and explicitly maps circle-of-competence boundaries.

When should I avoid using a long-term value investing framework for stock analysis?

You should avoid using a long-term value investing framework when your goal is short-term price forecasting or when a business falls outside your circle of competence. It is not designed for scenarios lacking historical data to ground factual claims and moat assessments.