chain-screener

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自动化产业链分析:从主题拆解到投资评分与报表

Authorharryhuang0719
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Screener helps investment teams quickly decompose a theme into upstream, midstream, and downstream segments, search globally for relevant listed companies, pull financial data, and generate structured outputs including an investment score, Mermaid diagram, and Excel report.

Core Features & Use Cases

  • LLM-driven industry-chain decomposition: upstream, midstream, and downstream mapping for a given theme.
  • Global company search and data aggregation: validates US/HK/A-share listings and pulls financial metrics for scoring.
  • Output suite: investment score (0-100), Mermaid diagrams, and Excel reports suitable for investment committee materials.
  • Use case: analyze a theme like "AI算力" to identify top upstream suppliers, midstream integrators, and downstream users with quantified scores and shareable visuals.

Quick Start

Tell the AI to analyze a theme (for example, SpaceX产业链) to generate the full screener output including Mermaid diagram and Excel report.

Dependency Matrix

Required Modules

tusharepython-dotenv

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: chain-screener
Download link: https://github.com/harryhuang0719/Skills-for-Cathay/archive/main.zip#chain-screener

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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