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company-investment-research

Structured, multi-dimensional company investment research framework for AI agents and human analysts. Provides a 10-part checklist (moat, tech, market, customers, growth, financials, geography, governance, valuation, recommendation) to turn scattered info into a consistent, high-quality investment memo. | 面向 AI Agent 与人工分析师的公司投研框架,用 10 大维度系统梳理商业模式、护城河、成长与估值,快速产出结构化投研报告。

dufu20000 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install dufu2000/company-investment-research

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Company Investment Research / 公司投资研究框架

This skill provides a systematic framework for conducting comprehensive investment research and due diligence on companies. It structures analysis across 10 critical dimensions to support informed investment decisions.

本技能为公司基本面研究提供一套结构化投研框架,覆盖 10 个关键维度,帮助你从零开始梳理一家公司的商业模式、竞争力、增长与估值,并最终形成一份有逻辑的投资结论。


When to Use / 适用场景

Use this skill when you need to:

  • Evaluate a company as a potential investment (public or late-stage private)
  • Understand a company's competitive advantages and moat vs peers
  • Produce a structured investment memo instead of scattered notes
  • Compare two or more companies in the same sector on a consistent framework

适合在以下场景使用:

  • 对某家公司做系统性投研/估值评估(上市公司或准上市公司)
  • 想明白它相对于同行的护城河与竞争地位
  • 需要输出一份结构清晰的投研报告/投资备忘录
  • 在同一行业内对比多家公司,希望有统一的分析模板

Quick Usage Examples / 快速使用示例

1. Single-company deep dive / 单公司深度研究

"Analyze NVIDIA (NVDA) as an investment using the company-investment-research framework. Follow all 10 dimensions and end with a clear BUY/HOLD/SELL view, including key risks."

「请基于 company-investment-research 投研框架,系统分析英伟达(NVIDIA, NVDA)的投资价值,按 10 个维度展开,最后给出 BUY/HOLD/SELL 判断,并列出关键风险。」

2. Compare two companies in the same sector / 同行业公司对比

"Using the company-investment-research skill, compare NVIDIA vs AMD as AI infrastructure investments. Highlight differences in moat, growth drivers, and valuation, then state which one looks more attractive on a 3–5 year horizon and why."

「使用该投研框架对比分析 NVIDIA 与 AMD 作为 AI 基础设施投资标的的优劣,从护城河、成长驱动、估值三方面重点展开,并给出未来 3–5 年哪个更具吸引力及原因。」

3. Rapid pre-screening / 快速预筛选

"Run a lightweight version...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/dufu2000/company-investment-research
Version
—
Commit
b5904d8b2f036385d600a3904dc0d6bddb5cfc86
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# Company Investment Research / 公司投资研究框架

This skill provides a systematic framework for conducting comprehensive investment research and due diligence on companies. It structures analysis across 10 critical dimensions to support informed investment decisions.

本技能为公司基本面研究提供一套**结构化投研框架**,覆盖 10 个关键维度,帮助你从零开始梳理一家公司的商业模式、竞争力、增长与估值,并最终形成一份有逻辑的投资结论。

---

## When to Use / 适用场景

Use this skill when you need to:

- Evaluate a company as a potential **investment** (public or late-stage private)
- Understand a company's **competitive advantages and moat** vs peers
- Produce a **structured investment memo** instead of scattered notes
- Compare **two or more companies** in the same sector on a consistent framework

适合在以下场景使用:

- 对某家公司做**系统性投研/估值评估**(上市公司或准上市公司)
- 想明白它相对于同行的**护城河与竞争地位**
- 需要输出一份结构清晰的**投研报告/投资备忘录**
- 在同一行业内对比多家公司,希望有**统一的分析模板**

---

## Quick Usage Examples / 快速使用示例

### 1. Single-company deep dive / 单公司深度研究

> "Analyze NVIDIA (NVDA) as an investment using the company-investment-research framework. Follow all 10 dimensions and end with a clear BUY/HOLD/SELL view, including key risks."

> 「请基于 `company-investment-research` 投研框架,系统分析英伟达(NVIDIA, NVDA)的投资价值,按 10 个维度展开,最后给出 BUY/HOLD/SELL 判断,并列出关键风险。」

### 2. Compare two companies in the same sector / 同行业公司对比

> "Using the company-investment-research skill, compare NVIDIA vs AMD as AI infrastructure investments. Highlight differences in moat, growth drivers, and valuation, then state which one looks more attractive on a 3–5 year horizon and why."

> 「使用该投研框架对比分析 NVIDIA 与 AMD 作为 AI 基础设施投资标的的优劣,从护城河、成长驱动、估值三方面重点展开,并给出未来 3–5 年哪个更具吸引力及原因。」

### 3. Rapid pre-screening / 快速预筛选

> "Run a lightweight version...

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