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Investment Memo

Community
belos-street
investment-memo

快速生成结构化上市公司投资分析报告,涵盖公司业务、投资逻辑、催化剂、财务与估值分析、风险提示和操作建议。Invoke when user asks for investment memo, one-page report, or quick analysis of a public company.

Overview

Publisherbelos-street
Repositorystock-analytics-agent
Skill nameinvestment-memo
Stars
57
Forks
9
Bundled files
Instructions only
LicenseMIT
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 belos-street on GitHub. Read the source before you install it.

Installation

Install the Investment Memo 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/belos-street/stock-analytics-agent/tree/main/.agents/skills/investment-memo
  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/belos-street/stock-analytics-agent.git /tmp/stock-analytics-agent
mkdir -p .claude/skills
cp -r /tmp/stock-analytics-agent/.agents/skills/investment-memo .claude/skills/investment-memo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Investment Memo 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 Investment Memo 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 Investment Memo 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.

上市公司投资备忘录

技能核心定位

核心目标

帮你快速生成一份结构化的上市公司投资分析报告,涵盖公司业务与竞争力、投资逻辑、近期催化剂、财务与估值分析、风险提示和操作建议,适合晨会汇报、投决会准备或调研前快速了解一家公司。

目标用户

  • 投资研究员:快速生成研究报告
  • 投资经理:辅助投资决策
  • 投决会成员:了解标的情况
  • 个人投资者:深度研究个股

技能边界

可提供服务:

  • 一页纸投资摘要
  • 深度投资备忘录
  • 晨会汇报材料
  • 投决会演示材料
  • 调研前准备材料

不可提供服务:

  • 具体买卖指令
  • 承诺收益
  • 预测股价
  • 内幕信息

报告结构

封面信息

公司名称:
股票代码:
所属行业:
报告日期:
分析师:
评级:
目标价:
当前价:
潜在涨幅:

核心观点(一句话)

一句话概括投资逻辑:
预期收益:
主要风险:

一、投资亮点

核心看点(3-5条)

1. XXXX
2. XXXX
3. XXXX

一句话投资逻辑

(用一句话概括为什么值得投资)

二、公司概况

基本信息

成立时间:
上市时间:
总市值:
流通市值:
市盈率(TTM):
市净率:
股息率:

yield_basis 口径(S3):股息率默认按近 12 个月 DPS 年度化;若用单期分红×4 须显式注明「单期×4」。DPS 优先券商实际到账/交易所与公司公告,警惕第三方单期分红失真。

主营业务

核心产品/服务:
收入结构:
利润来源:
商业模式:

行业地位

市场份额:
行业排名:
核心竞争力:
护城河:

三、投资逻辑

逻辑1:XXXX

论点:
论据:
验证:

逻辑2:XXXX

论点:
论据:
验证:

逻辑3:XXXX

论点:
论据:
验证:

四、近期催化剂

短期催化剂(3个月内)

1. XXXX
2. XXXX

中期催化剂(6-12个月)

1. XXXX
2. XXXX

长期催化剂(1-3年)

1. XXXX
2. XXXX

五、财务分析

核心财务指标

指标202220232024E2025E
营收(亿)
净利润(亿)
毛利率(%)
净利率(%)
ROE(%)
EPS(元)

成长性指标

指标20232024E2025E
营收增速(%)
净利润增速(%)
三年CAGR(%)

财务健康

指标数值评价
资产负债率(%)
流动比率
经营现金流/净利润
应收账款周转天数

六、估值分析

相对估值

指标数值历史分位行业平均
PE(TTM)%
PE(动)%
PB%
PS%

分位口径(S2 统一):历史分位 = 该股自身近 10 年月频收盘(PE-TTM 整体法,负 PE 剔除)分位,标注数据基准日;上市不足 10 年按实际可得窗口并注明。高低判断对照自身分位,不套用全市场统一绝对阈值。

估值结论

当前估值水平:
估值合理性:
重估空间:

DCF估值(可选)

关键假设:
WACC:
永续增长率:
DCF估值:

估值陷阱检查(必填)

作出"估值合理/低估"结论前逐项核验:
- 低 PE = 盈利顶部(周期股陷阱):MDI、化工、资源品等周期股在盈利顶部 PE 最低(如万华化学类标的须结合产品价格/产能周期位置判断),须用 PB 分位/产品价格分位交叉验证
- 回撤大 ≠ 估值低:股价大幅回撤后仍可能高估,对照自身历史估值分位,不以涨跌幅替代估值判断
- 概念/主题辨真伪:核验相关业务收入占比与商业化进度,警惕蹭热点
- 高股息可持续性:核验分红率与经营现金流对分红的覆盖,警惕一次性特别分红推高股息率
- 增长质量:核验增长来源(价/量/并表/政策)、现金流含量与可持续性,警惕低质量增长

七、风险提示(含空方论点,必填)

空方论点(必填)

1. 空方论点1(论点 + 关键依据):
2. 空方论点2(论点 + 关键依据):

看空情景与证伪条件(必填)

看空情景1(可证伪:触发条件 → 影响路径 → 对估值/盈利的冲击):
看空情景2(可证伪):
触发证伪的观察指标(指标 + 跟踪频率 + 阈值/信号 → 触发后动作):

空方论点须为可反驳的具体论点,不得以单行"风险提示"或泛化风险罗列替代;评级为买入/增持时,同样必须给出"看多被推翻"的条件与观察指标。

行业风险

1. XXXX
2. XXXX

公司风险

1. XXXX
2. XXXX

市场风险

1. XXXX
2. XXXX

八、投资建议

预期差与双方论点(必填)

预期差方向(市场定价 vs 研究判断):
多方论点:
空方论点:
配置参考(研究判断下的配置含义):

口径:投资建议统一输出「预期差方向 + 正反双方论点 + 配置参考」;配置参考为分析参考,非买卖指令。

评级与目标价

项目内容
评级
目标价
当前价
潜在涨幅
上涨空间

操作建议

买入区间:
持有期限:
止损位:
卖出条件:

校准注释:目标价/买入区间/止损位须标注估值方法 + 口径 + 数据基准日(如 PE 自身历史分位法/DCF,含关键假设);上述点位为分析参考位(反弹减仓/持有参考),非回本位、非买卖指令。

适合投资者

风险承受能力:
投资期限:
投资风格:

九、跟踪要点

需要持续关注

1. XXXX
2. XXXX

验证指标

1. XXXX
2. XXXX

更新频率

建议每季度更新一次

报告输出格式

一页纸投资报告模板

# XXXX 投资备忘录
**股票代码:XXXX | 所属行业:XXXX | 报告日期:XXXX**

---

## 核心观点
(一句话概括投资逻辑)

| 评级 | 目标价 | 当前价 | 潜在涨幅 |
|------|--------|--------|---------|
| | | | |

---

## 投资亮点
1. **XXXX**:XXXX
2. **XXXX**:XXXX
3. **XXXX**:XXXX

---

## 近期催化剂
- 短期:XXXX
- 中期:XXXX

---

## 财务摘要
| 指标 | 2023 | 2024E | 2025E |
|------|------|-------|-------|
| 营收增速 | | | |
| 净利润增速 | | | |
| ROE | | | |
| PE | | | |

---

## 风险提示(含空方论点,必填)
1. 空方论点(论点 + 关键依据):XXXX
2. 空方论点(论点 + 关键依据):XXXX
- 看空情景(可证伪):XXXX
- 触发证伪的观察指标(指标 + 跟踪频率 + 阈值/信号):XXXX

---

## 操作建议
- 预期差方向:
- 多方论点:
- 空方论点:
- 配置参考:
- 买入区间:
- 持有期:
- 止损位:

> 注:买入区间/止损位/目标价标注估值方法+口径+数据基准日,为分析参考位(反弹减仓/持有参考),非回本位、非买卖指令。

使用示例

示例1:新能源汽车

用户:"请分析一下比亚迪的投资价值" Agent:

  1. 生成比亚迪投资备忘录
  2. 涵盖新能源车行业逻辑
  3. 财务与估值分析
  4. 风险与投资建议

示例2:互联网龙头

用户:"帮我做一份腾讯的一页纸投资报告" Agent:

  1. 生成一页纸投资摘要
  2. 核心投资逻辑
  3. 财务估值
  4. 操作建议

示例3:消费电子

用户:"立讯精密值得投资吗?" Agent:

  1. 生成投资备忘录
  2. 分析苹果产业链逻辑
  3. 财务与估值
  4. 风险提示

示例4:周期股

用户:"帮我分析万华化学" Agent:

  1. 生成投资备忘录
  2. 分析MDI行业周期
  3. 财务与估值分析
  4. 周期股操作建议

重要提醒

  1. 合规性:所有分析仅供参考,不构成投资建议
  2. 风险提示:投资有风险,需要综合判断
  3. 时效性:定期更新,保持数据时效
  4. 客观性:客观呈现优劣势
  5. 决策权:投资决策权在投资者自己

数据获取与口径

  • 获取方式:优先本地 CLI bun run main.ts(实时行情/净值/股息率/K线);估值分位、宏观/行业/财报数据用 WebSearch 补充
  • 官方口径优先:券商实际到账、交易所/公司公告 > 第三方平台;数据冲突以官方为准
  • 禁止编造:取不到的数据标「不可得」,不得臆测填充;预测值须标来源或「作者假设」
  • 数据基准日:所有数值标注取数日期;跨期对比须同一基准日

数据来源参考:公司公告、财报数据、行业研究、宏观数据。


持续优化

根据用户反馈和投研需求,持续完善报告模板和分析框架。

Frequently asked questions

What does the Investment Memo AI skill do?

快速生成结构化上市公司投资分析报告,涵盖公司业务、投资逻辑、催化剂、财务与估值分析、风险提示和操作建议。Invoke when user asks for investment memo, one-page report, or quick analysis of a public company.

Why use Investment Memo on TypingMind?

Because you install it once and use it with any model. Investment Memo 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 Investment Memo in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/belos-street/stock-analytics-agent/tree/main/.agents/skills/investment-memo. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Investment Memo?

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 Investment Memo?

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

Is the Investment Memo AI skill free?

Yes. It is published on GitHub by belos-street under the MIT license. 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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