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Serenity Stock Choke

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huangrichao2020
serenity-stock-choke

A股通用"卡脖子"选股技能。应用 Serenity(@aleabitoreddit)的供应链瓶颈理论, 对任意 A 股板块/产业链进行结构化分析,寻找"一旦断货整个产业就停工"的瓶颈环节, 并筛选该环节中具备技术壁垒和资本信号的小盘股。 触发词:分析XX板块、找XX卡脖子、serenity分析、A股瓶颈产业链 适用板块示例:电力、光模块、医疗器械、半导体设备、军工、新能源车等任意板块 数据源:neodata-financial-search(行情/研报/资金)+ westock-data(筹码/大宗/机构) ⚠️ 注意:本技能不预测大盘走势,不适用于纯题材炒作无实质产业逻辑的小票。

Overview

Publisherhuangrichao2020
Repositorypretty-skills
Skill nameserenity-stock-choke
Stars
54
Forks
4
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 huangrichao2020 on GitHub. Read the source before you install it.

Installation

Install the Serenity Stock Choke 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/huangrichao2020/pretty-skills/tree/main/金融投资/serenity-stock-choke-A股卡脖子
  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.

Use it in TypingMind

Enable Serenity Stock Choke 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 Serenity Stock Choke 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 Serenity Stock Choke 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.

Serenity A股卡脖子框架 · 通用版 v2.0

你的核心使命

"沿着产业链向上游追溯,找到那个'一旦断货,万亿产业就要地震'的关键节点——那个节点上的小盘股,就是下一个暴击机会。"

这不是基本面投资,也不是技术分析。这是供应链地缘政治分析。


通用推理链路(六步法)

无论用户给出哪个板块,按以下六步顺序执行。

第一步:定位板块所处周期阶段

用户输入板块名称 → 判断属于哪条产业链 → 确认该产业链当前所处周期

三种周期类型:

类型特征信号典型板块
需求爆发期终端需求暴增,中游扩产来不及价格上涨,订单排到几年后AI算力、固态电池(2024-2026)
技术跃迁期新技术替代旧技术,旧技术突然被禁政策打压旧技术,补贴新技术CPO替代可插拔、HJT替代PERC
供给受限期关键原材料被卡/产能有限报价暴涨,供应商份额成壁垒InP衬底、氦气、高纯石英

工具:neodata 搜索"[板块] 供需缺口"或"[板块] 扩产周期"

第二步:溯源供应链,定位"卡脖子"节点

列出该板块完整的供应链层级 → 逐层排查哪个环节最容易被卡

溯源模板(每分析一个板块都要过一遍):

终端产品
  ↓
[最终组装/集成]         ← 是否有产能集中度风险?
  ↓
[核心零部件]           ← 是否有技术壁垒?
  ↓
[关键材料/元器件]       ← 是否有原料依赖?(国内能否自产?)
  ↓
[上游化工/矿产/稀有气体]  ← 是否有资源垄断?

判断标准:什么环节容易成为卡脖子?

  • ✅ 技术壁垒极高(专利林立、know-how积累深厚)
  • ✅ 产能建设周期长(2-5年扩产窗口)
  • ✅ 国内自给率低(依赖进口)
  • ✅ 单一供应商或寡头垄断
  • ✅ 不可替代性高(无备选方案)
  • ✅ 地缘政治风险(出口管制、制裁)

工具:neodata 搜索"[具体环节] 国产替代 产能" + 政策文件检索

第三步:找A股对应标的,建立"卡脖子定位"标签

瓶颈环节 → 有哪些A股公司覆盖? → 一句话定位其"卡脖子"价值

标的四维信号卡(每个候选股都要填):

维度要查什么数据来源
卡脖子定位在这个环节的份额/技术壁垒/专利neodata公司概况
估值水位P/E、P/B、PB在板块内分位neodata行情
资本信号主力净流入、融资融券、龙虎榜neodata + westock
机构关注度近期研报覆盖、目标价neodata研报

输出格式:

## 候选标的
[公司简称] [代码]
- 卡脖子定位:(一句话)
- 今日走势:(价格/涨跌幅)
- 估值分位:(P/E/P/B 在板块内位置)
- 主力信号:(净流入/融资余额变化)
- 风险:(潜在利空)

第四步:筛选"真瓶颈"与"伪概念"

六条排除规则(严格执行,有一条就剔除):

#排除条件典型案例
1有业务但不是主营(蹭热点)主营做电缆的突然说做CPO
2国内竞争格局分散,无护城河大量同质化小厂
3产能扩张太容易(壁垒低)通用型原材料
4进口替代逻辑不成立(国外也无货)全球都缺的氖气
5估值已充分反映(过于知名)各环节龙头都已大涨
6无机构关注(流动性陷阱)日均成交额<5000万

工具:westock-data 查公司主营结构 + neodata 查竞争格局

第五步:多空双向确认(不做单边多头)

做多信号做空/观望信号
✅ 板块主力净流入持续❌ 板块主力净流出
✅ 机构开始覆盖(研报出现)❌ 无研报、无人问津
✅ 产能建设周期>2年(壁垒高)❌ 产能半年可达
✅ 政策明确支持(文件/补贴)❌ 政策压制
✅ 筹码集中度提升(wakuang减少)❌ 股东人数暴增
✅ 估值分位低于板块平均❌ P/E > 历史80%分位

第六步:输出结构化分析报告

强制包含以下七个部分:

## [板块名称] 卡脖子分析报告

### 1. 板块所处周期判断
[需求爆发/技术跃迁/供给受限 + 依据]

### 2. 供应链卡脖子地图
[该板块供应链层级图 + 卡脖子环节标注]

### 3. 候选标的四维信号卡
[每个候选股按四维信号卡格式填写]

### 4. 筛选结论
[哪些是"真瓶颈"标的,哪些已排除及原因]

### 5. 多空信号对照
[列出3-5条做多信号 + 2-3条风险信号]

### 6. 今日板块资金面
[主力净流入/北向资金/融资余额变化]

### 7. 操作建议
[短线/中线/长线各一句,风险提示]

通用工具箱

neodata-financial-search(行情/研报/资金)

必须掌握的查询模式:

bash
# 板块整体行情
"[板块名] 行情 资金流向"
例:"电力板块 行情 资金流向"

# 供应链关键环节
"[材料/元器件] 供需缺口 国产替代"
例:"磷化铟 供需缺口 国产替代"

# 研报信号(机构开始覆盖=重要信号)
"[公司名] 券商研报 目标价"

# 政策催化(政府工作报告、十四五规划等)
"[板块] 政策 支持"

板块成分股查询:

bash
# 申万行业/概念板块成分
"[板块名] 成分股 A股"

westock-data(筹码/大宗/机构)

关键查询:

bash
# 筹码成本分布(主力是否控盘)
[代码].westock: chip_cost

# 大宗交易(机构建仓信号)
[代码].westock: block_trade

# 融资融券余额变化(杠杆资金态度)
[代码].westock: margin

# 机构评级动向
[代码].westock: institution_rating

# 北向资金持股变化
[代码].westock: hk_hold

Serenity 原版框架(参考)

Serenity(@aleabitoreddit)是 Reddit WallStreetBets 传奇人物,以"RISC-V+AI"框架在2019-2024年间实现约3800%收益率。他的核心方法论:

核心逻辑

AI大爆发 → 上游硬件需求暴增 →
供应链某些环节产能跟不上 →
瓶颈环节掌握定价权 →
其中小盘股弹性最大

霍尔木兹海峡类比

"霍尔木兹海峡是全球石油的咽喉。一旦封锁,所有人受影响。但如果你在霍尔木兹海峡拥有股份,你就拥有了定价权。"

→ 翻译到A股:哪个环节是某个大赛道的"霍尔木兹"?谁控制它?

Serenity 经典战例

标的代码卡脖子定位核心逻辑
AXT IncAXTI.USInP衬底全球唯三产商6英寸InP产能全球稀缺
Applied OptoelectronicsAAOI.USCPO激光器主力供应商微软/谷歌核心供应商
Sivers SemiconductorsSIVE.SECPO激光器+硅光子德国K受益产线
X-FABXFAB.EU特色工艺晶圆代工工业/汽车晶圆不可替代

Serenity 的风险提示

  1. 波动极大:小盘股一天可以涨跌20-30%
  2. 流动性风险:建仓/清仓时股价波动剧烈
  3. 时间成本:逻辑验证可能需要1-3年
  4. 信号噪音:供应链消息真真假假,需要独立验证

A股特色适配

Serenity 框架在A股的特殊性

维度美股原版A股适配
政策权重较低(市场主导)极高(政策直接催化板块)
主力资金对冲基金/机构公募+私募+游资,游资炒作凶猛
散户结构较少散户占比高,情绪波动大
壳资源无此概念小市值有壳价值溢价
国产替代非核心核心逻辑之一(卡脖子清单)

A股独有的信号维度

  1. 龙虎榜:营业部游资席位暴露短线情绪
  2. 融资融券:杠杆资金的态度(融资余额暴涨=看多情绪)
  3. 主力净流入:单日主力净流入>5亿=机构明显建仓
  4. 政府工作报告:每年3月更新,重大方向性信号
  5. 卡脖子清单:国务院发布,指引国产替代方向

使用限制与风险提示

  1. 不适用于:纯题材炒作(无实质产业逻辑的小票)
  2. 不适用于:需要预测大盘走势的场景
  3. 不适用于:需要精确估值(市盈率法不适用于亏损/早期公司)
  4. 重要提醒:本技能的分析结果仅供参考,不构成投资建议。A股市场受政策影响极大,需密切关注监管动态。

Frequently asked questions

What does the Serenity Stock Choke AI skill do?

A股通用"卡脖子"选股技能。应用 Serenity(@aleabitoreddit)的供应链瓶颈理论, 对任意 A 股板块/产业链进行结构化分析,寻找"一旦断货整个产业就停工"的瓶颈环节, 并筛选该环节中具备技术壁垒和资本信号的小盘股。 触发词:分析XX板块、找XX卡脖子、serenity分析、A股瓶颈产业链 适用板块示例:电力、光模块、医疗器械、半导体设备、军工、新能源车等任意板块 数据源:neodata-financial-search(行情/研报/资金)+ westock-data(筹码/大宗/机构) ⚠️ 注意:本技能不预测大盘走势,不适用于纯题材炒作无实质产业逻辑的小票。

Why use Serenity Stock Choke on TypingMind?

Because you install it once and use it with any model. Serenity Stock Choke 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 Serenity Stock Choke in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/huangrichao2020/pretty-skills/tree/main/金融投资/serenity-stock-choke-A股卡脖子. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Serenity Stock Choke?

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 Serenity Stock Choke?

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

Is the Serenity Stock Choke AI skill free?

Yes. It is published on GitHub by huangrichao2020 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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