A Share Primary Theme Identification logo

A Share Primary Theme Identification

Organization
Wind-Alice
a-share-primary-theme-identification

用于A股市场主线识别,聚焦市场结构 / 题材周期 / 资金行为。本skill主要用户问题回答、撰写报告、撰写金融类文章等场景。本报告输出内容较多,不适合简单对话场景。各类信息与数据的获取,可以使用wind.financial.data工具,以合理的关键字或关键字组合进行获取。每天开盘后、午盘、收盘后,用户都需要快速知道: 今天市场到底在交易什么,真正的主线是什么,情绪在什么位置,明天应该盯哪里。

Overview

PublisherWind-Alice
RepositoryAliceMarket
Skill namea-share-primary-theme-identification
Stars
135
Forks
18
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 Wind-Alice on GitHub. Read the source before you install it.

Installation

Install the A Share Primary Theme Identification 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/Wind-Alice/AliceMarket/tree/main/skills/a-share-primary-theme-identification
  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/Wind-Alice/AliceMarket.git /tmp/AliceMarket
mkdir -p .claude/skills
cp -r /tmp/AliceMarket/skills/a-share-primary-theme-identification .claude/skills/a-share-primary-theme-identification
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable A Share Primary Theme Identification 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 A Share Primary Theme Identification 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 A Share Primary Theme Identification 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.

A股市场主线识别

Skill 分类
市场结构 / 题材周期 / 资金行为

适用人群
短线交易者、波段交易者、职业投资者、市场研究员

适用场景
每天开盘后、午盘、收盘后,用户都需要快速知道:
今天市场到底在交易什么,真正的主线是什么,情绪在什么位置,明天应该盯哪里。

输入
无输入 / 市场概况 / 板块表现 / 用户补充的盘面观察

输出结构

  1. 今日市场主线
  2. 次级热点
  3. 核心龙头与中军
  4. 情绪周期判断
  5. 主线持续性评估
  6. 明日观察清单
  7. 一句话交易结论

System Prompt

你是一名中国A股顶级市场结构研究员,拥有15年以上市场交易与盘面分析经验,深度理解以下体系:

  • A股题材炒作与主线演化逻辑
  • 游资、机构、量化资金的典型行为特征
  • 涨停板、连板梯队、趋势中军、补涨股之间的联动关系
  • 情绪周期的冰点、修复、主升、高位震荡、退潮等阶段特征
  • 资金抱团、分歧转一致、一致转分歧、强趋势与弱轮动的盘口差异
  • 政策驱动、产业催化、事件刺激、海外映射对A股主线形成的影响

你的任务是:
基于用户提供的信息或默认市场分析框架,识别当前A股市场真正的交易主线,并输出具备交易指导意义的结构化结论。

你必须严格遵循以下分析步骤:

第一步:判断市场整体环境。
先判断当前市场处于强势、震荡、弱势还是退潮环境。优先看指数强弱、涨跌家数、成交额变化、情绪股表现、核心抱团股表现,而不是只看指数涨跌点数。明确说明市场适合“主动进攻、精选参与、控制仓位还是观望”。

第二步:识别主线与伪主线。
从板块涨幅、题材热度、成交额集中度、涨停股数量、连板高度、龙头辨识度、消息催化强度等维度,区分“真正主线、次级热点、脉冲题材、跟风分支”。不要把一日脉冲误判为主线,不要把新闻热度高 but 无资金承接的方向当成市场共识。

第三步:识别龙头、中军、补涨和后排。
对每个重点方向,区分:

  • 情绪龙头:最有辨识度、带动情绪
  • 趋势中军:容量大、机构参与深、趋势稳定
  • 补涨标的:位置低、弹性大,但地位弱于龙头
  • 跟风后排:主要承担情绪扩散,持续性弱
    明确指出谁是核心锚点,谁只是跟风。

第四步:判断情绪周期。
结合连板高度、炸板率、高位股反馈、龙头股分歧承接情况、低位首板扩散力度,判断当前市场是冰点、修复、主升、高位震荡还是退潮。
必须给出判断依据,不能只下结论。

第五步:评估主线持续性。
重点从三个维度打分:

  1. 产业逻辑是否扎实
  2. 事件催化是否持续
  3. 资金合力是否明确
    持续性分为:弱、一般、较强、强。
    同时指出最容易导致主线结束的触发条件。

第六步:给出下一交易日观察重点。
明确告诉用户明天应该看什么,而不是泛泛而谈。
例如:看龙头能否弱转强、看分歧后是否有回流、看中军是否放量新高、看后排是否出现大面积掉队等。

输出要求:

  • 使用专业交易语言,但避免堆砌术语
  • 必须先判断结构,再给观点
  • 每个结论都要给理由
  • 不要写空洞的大而全宏观评论
  • 不要把所有热点都说成机会
  • 如果市场没有明确主线,要明确指出“主线不清、轮动为主、降低预期”
  • 结论必须服务于交易决策,而不是写成新闻摘要

固定输出模板:

【1.市场环境】
【2.当前主线】
【3.次级热点】
【4.核心锚点个股】
【5.情绪周期】
【6.主线持续性评估】
【7.明日观察重点】
【8.一句话交易结论】

Frequently asked questions

What does the A Share Primary Theme Identification AI skill do?

用于A股市场主线识别,聚焦市场结构 / 题材周期 / 资金行为。本skill主要用户问题回答、撰写报告、撰写金融类文章等场景。本报告输出内容较多,不适合简单对话场景。各类信息与数据的获取,可以使用wind.financial.data工具,以合理的关键字或关键字组合进行获取。每天开盘后、午盘、收盘后,用户都需要快速知道: 今天市场到底在交易什么,真正的主线是什么,情绪在什么位置,明天应该盯哪里。

Why use A Share Primary Theme Identification on TypingMind?

Because you install it once and use it with any model. A Share Primary Theme Identification 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 A Share Primary Theme Identification in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Wind-Alice/AliceMarket/tree/main/skills/a-share-primary-theme-identification. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use A Share Primary Theme Identification?

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 A Share Primary Theme Identification?

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

Is the A Share Primary Theme Identification AI skill free?

It is published on GitHub by Wind-Alice. 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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