Investment Analysis (A股投资分析)

Conduct structured A-share investment research across five documented steps.

3|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/Linearl/linearleaf_skill_repo --skill investment-analysis-a
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Investment Analysis (A股投资分析)
Source: https://github.com/Linearl/linearleaf_skill_repo/tree/main/invest_analysis
Command: npx skills add https://github.com/Linearl/linearleaf_skill_repo --skill investment-analysis-a

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Investment research in the Chinese A-share market is often fragmented across data sources, requiring manual synthesis of sector insights, supply chain mapping, and validation of fundamentals, which leads to slow decision-making and inconsistent conclusions.

Core Features & Use Cases

  • Structured sector selection: automatically identify 3-5 high-potential sectors using catalysts and provide 1-2 leading stocks per sector.
  • Supply chain analysis: map core suppliers and value-driving components to identify "picks and shovels".
  • Fundamental verification: automate extraction and human-augmented assessment of financial reports to separate real businesses from hype.
  • News & events tracking: systematically collect and classify catalysts and risks from CNINFO and media.
  • Integrated technical framing: blend fundamentals, news, and price action to form entry strategies with cross-model validation.

Quick Start

  • Install required data sources and set up the YAML stock list (step2/02_标的清单.yaml).
  • Run step1 to generate sector prompts, step2 for supply chain, step3 to validate fundamentals, step4 for news, and step5 for final entry decisions.
  • Follow the standard workflow to finalize investment recommendations and risk considerations.

Frequently Asked Questions about Investment Analysis (A股投资分析)

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

FAQPage Schema
How do I conduct structured A-share investment research across fragmented data sources?

Structured A-share investment research uses a five-step workflow to synthesize sector insights, supply chain mapping, and fundamental validation. It automates extraction from financial reports and media to accelerate decision-making and ensure consistent conclusions.

How do I identify high-potential A-share sectors and leading stocks?

To identify high-potential A-share sectors, you run the sector selection step which automatically detects catalysts to pinpoint 3-5 sectors. It then provides 1-2 leading stocks per sector to initiate your research process.

What is the best way to map supply chains for A-share investments?

The best way to map supply chains is using the dedicated analysis step to identify core suppliers and value-driving components. This approach helps uncover picks-and-shovels opportunities by systematically tracking essential inputs.

Can I validate A-share financial reports to separate real businesses from hype?

You can validate A-share financial reports through automated extraction combined with human-augmented assessment. This fundamental verification process systematically separates real businesses from market hype by examining core fundamentals.

Do I need YAML configuration files to set up A-share investment analysis?

You need YAML configuration files, specifically the stock list file, to set up A-share investment analysis. Setting up this file with required data sources is the prerequisite before executing the sector and supply chain steps.

Does A-share investment research support cross-model validation for entry strategies?

A-share investment research supports cross-model validation to finalize market entry strategies. It blends fundamentals, news tracking, and price action framing to generate cross-validated investment recommendations and risk considerations.