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Finance Investment Analyst

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chendongqi
finance-investment-analyst

投资分析助手 - 专业的投资评估与财务建模专家。适用场景: (1) 投资机会评估与尽职调查 (2) 财务模型构建与估值分析 (3) ROI/IRR投资回报分析 (4) 投资风险评估与管理 (5) 投资组合分析与优化 (6) 并购估值与交易分析 (7) 投资决策报告撰写 触发关键词:投资分析、财务建模、估值、ROI、IRR、尽职调查、投资回报、并购分析、投资组合、投资决策、DCF、PE、投资报告

Overview

Publisherchendongqi
RepositoryOPB-Skills
Skill namefinance-investment-analyst
Stars
133
Forks
25
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by chendongqi on GitHub. Read the source before you install it.

Installation

Install the Finance Investment Analyst AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/chendongqi/OPB-Skills/tree/main/skills/finance-investment-analyst
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/chendongqi/OPB-Skills.git /tmp/OPB-Skills
mkdir -p .claude/skills
cp -r /tmp/OPB-Skills/skills/finance-investment-analyst .claude/skills/finance-investment-analyst
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Finance Investment Analyst in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Finance Investment Analyst on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Finance Investment Analyst is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

投资分析助手

核心工作流程

1. 投资分析框架

投资分析维度:

行业分析
├── 市场规模:TAM/SAM/SOM
├── 增长趋势:历史/预测
├── 竞争格局:集中度/进入壁垒
├── 产业链:上下游关系
└── 政策环境:监管/补贴

公司分析
├── 商业模式:收入/成本结构
├── 竞争优势:护城河
├── 管理团队:经验/能力
├── 财务状况:盈利/现金流
└── 发展战略:增长路径

估值分析
├── 相对估值:可比公司法
├── 绝对估值:DCF/DDM
├── 交易估值:可比交易法
└── 资产估值:NAV/重置成本

风险分析
├── 市场风险:宏观/行业
├── 经营风险:竞争/管理
├── 财务风险:杠杆/流动性
└── 退出风险:流动性/时机

投资决策流程:

阶段主要工作输出成果
筛选机会识别、初筛投资池
立项初步分析、立项评审立项报告
尽调深度调研、风险核查尽调报告
估值财务建模、估值谈判估值报告
决策投决会审议投资决议
执行协议签署、交割法律文件
管理投后跟踪、增值服务投后报告
退出退出时机、退出方式退出报告

2. 财务建模

财务模型结构:

假设模块
├── 宏观假设:GDP、利率、汇率
├── 行业假设:市场规模、增速
├── 经营假设:收入、成本、费用
├── 资本假设:Capex、运营资本
└── 融资假设:债务、股权

预测模块
├── 收入预测
│   ├── 按产品/服务
│   ├── 按区域/客户
│   └── 按渠道
├── 成本预测
│   ├── 直接成本
│   └── 间接成本
├── 费用预测
│   ├── 销售费用
│   ├── 管理费用
│   └── 财务费用
└── 资本预测
    ├── 固定资产投资
    └── 运营资本变动

三表联动
├── 利润表
├── 资产负债表
└── 现金流量表

估值模块
├── DCF估值
├── 可比估值
└── 敏感性分析

财务预测方法:

科目预测方法关键驱动因素
收入自上而下/自下而上市场份额、单价、销量
毛利毛利率假设成本结构、规模效应
费用收入占比/固定+变动费用率、人员编制
Capex产能规划扩张计划、维护更新
运营资本周转天数应收、存货、应付
税费有效税率税收优惠、递延税

3. 估值方法

相对估值法:

市盈率(P/E)
├── 计算:股价 / 每股收益
├── 适用:盈利稳定企业
├── 变体:Forward P/E、TTM P/E
└── 注意:周期性、一次性损益

市销率(P/S)
├── 计算:市值 / 收入
├── 适用:亏损但有收入企业
├── 变体:EV/Sales
└── 注意:毛利率差异

市净率(P/B)
├── 计算:股价 / 每股净资产
├── 适用:资产密集型企业
├── 变体:P/TBV(有形净资产)
└── 注意:资产重估

EV/EBITDA
├── 计算:企业价值 / EBITDA
├── 适用:资本密集、高杠杆
├── 优势:剔除资本结构差异
└── 注意:Capex需求差异

绝对估值法(DCF):

自由现金流预测
├── FCFF = EBIT×(1-T) + 折旧 - Capex - △NWC
└── FCFE = 净利润 + 折旧 - Capex - △NWC + 净借款

折现率计算
├── WACC = Ke×E/(D+E) + Kd×(1-T)×D/(D+E)
├── Ke(股权成本)= Rf + β×(Rm-Rf)
└── Kd(债务成本)= 债务利率

终值计算
├── 永续增长模型:TV = FCF×(1+g)/(r-g)
└── 退出乘数法:TV = EBITDA × Exit Multiple

敏感性分析
├── WACC敏感性
├── 永续增长率敏感性
└── 关键假设敏感性

4. 投资回报分析

回报指标体系:

指标公式用途局限
ROI(收益-成本)/成本简单回报不考虑时间
IRRNPV=0的折现率真实回报率再投资假设
NPV现金流折现总和价值创造折现率敏感
MOIC退出价值/投资成本倍数回报不考虑时间
回收期收回投资的时间风险评估忽略后期

IRR计算与分析:

现金流示例
├── Year 0: -100(投资)
├── Year 1: +20
├── Year 2: +30
├── Year 3: +40
├── Year 4: +50
└── Year 5: +80(含退出)

IRR解读
├── IRR > 资本成本:创造价值
├── IRR = 资本成本:价值中性
└── IRR < 资本成本:毁损价值

IRR vs MOIC
├── 高IRR低MOIC:快进快出
├── 低IRR高MOIC:长期持有
└── 综合考量:根据策略

5. 投资风险评估

风险评估框架:

风险识别
├── 外部风险
│   ├── 宏观风险:经济周期、政策变化
│   ├── 行业风险:技术颠覆、竞争加剧
│   └── 市场风险:需求萎缩、价格下跌
├── 内部风险
│   ├── 经营风险:管理、执行、技术
│   ├── 财务风险:杠杆、流动性
│   └── 合规风险:法律、税务
└── 投资风险
    ├── 估值风险:买贵了
    ├── 整合风险:协同不达预期
    └── 退出风险:流动性、时机

风险量化
├── 情景分析:乐观/基准/悲观
├── 敏感性分析:关键变量影响
├── 蒙特卡洛:概率分布模拟
└── 压力测试:极端情景

风险矩阵:

风险可能性影响度风险等级应对措施
市场下滑高高红对赌保护
核心团队流失中高橙锁定期约定
技术路线变化低高黄持续监控
合规处罚低中绿尽调核查

6. 投资报告撰写

投资报告结构:

执行摘要
├── 投资标的概述
├── 投资亮点
├── 主要风险
├── 估值与条款
└── 投资建议

公司分析
├── 公司概况
├── 商业模式
├── 竞争优势
├── 管理团队
└── 发展战略

行业分析
├── 市场规模与增长
├── 竞争格局
├── 产业链分析
├── 发展趋势
└── 政策环境

财务分析
├── 历史财务表现
├── 财务预测
├── 估值分析
└── 敏感性分析

风险分析
├── 主要风险
├── 风险应对
└── 退出策略

投资方案
├── 交易结构
├── 估值与定价
├── 投资条款
└── 投后管理

输出模板

投资分析报告

【投资标的】___________
【分析日期】___________
【分析师】___________

【执行摘要】
投资建议:□投资 □观望 □放弃
推荐估值区间:___亿元
预期IRR:___%
主要亮点:
1.
2.
3.
主要风险:
1.
2.
3.

【公司概况】
公司名称:
成立时间:
主营业务:
核心产品:
收入规模:
员工人数:

【估值分析】
| 方法 | 估值(亿元)| 权重 | 加权值 |
|------|-------------|------|--------|
| DCF |
| P/E可比 |
| P/S可比 |
| 综合估值 |

【财务预测】
| 指标 | 2024E | 2025E | 2026E | CAGR |
|------|-------|-------|-------|------|
| 收入 |
| 毛利率 |
| 净利润 |
| 经营现金流 |

【投资回报测算】
| 情景 | 退出估值 | IRR | MOIC |
|------|----------|-----|------|
| 乐观 |
| 基准 |
| 悲观 |

【风险提示】
| 风险 | 等级 | 应对措施 |
|------|------|----------|

【结论与建议】

财务模型假设清单

【模型名称】___________
【版本日期】___________

【宏观假设】
| 假设项 | 数值 | 来源 |
|--------|------|------|
| GDP增速 |
| 通胀率 |
| 无风险利率 |

【业务假设】
| 假设项 | 2024E | 2025E | 2026E | 依据 |
|--------|-------|-------|-------|------|
| 收入增速 |
| 毛利率 |
| 费用率 |

【估值假设】
| 假设项 | 数值 | 说明 |
|--------|------|------|
| WACC |
| 永续增长率 |
| 退出倍数 |

【敏感性测试】
| WACC \ g | 2% | 2.5% | 3% |
|----------|-----|------|-----|
| 9% |
| 10% |
| 11% |

最佳实践

  • 假设透明:所有假设要有数据支撑和逻辑
  • 多方法验证:不依赖单一估值方法
  • 敏感性分析:测试关键假设的影响
  • 风险意识:投资要考虑下行保护
  • 持续跟踪:投后持续监控核心假设

Frequently asked questions

What does the Finance Investment Analyst AI skill do?

投资分析助手 - 专业的投资评估与财务建模专家。适用场景: (1) 投资机会评估与尽职调查 (2) 财务模型构建与估值分析 (3) ROI/IRR投资回报分析 (4) 投资风险评估与管理 (5) 投资组合分析与优化 (6) 并购估值与交易分析 (7) 投资决策报告撰写 触发关键词:投资分析、财务建模、估值、ROI、IRR、尽职调查、投资回报、并购分析、投资组合、投资决策、DCF、PE、投资报告

Why use Finance Investment Analyst on TypingMind?

Because you install it once and use it with any model. Finance Investment Analyst is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Finance Investment Analyst in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chendongqi/OPB-Skills/tree/main/skills/finance-investment-analyst. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Finance Investment Analyst?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Finance Investment Analyst?

As many as you like. As long as a model supports skills, you can use Finance Investment Analyst with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Finance Investment Analyst AI skill free?

It is published on GitHub by chendongqi. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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