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Event Driven Detector

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Geeksfino
event-driven-detector

识别和分析可能创造定价偏差的A股公司事件,包括并购重组、资产注入、回购增持、管理层变更和指数调整。当用户询问并购重组机会、资产注入、股份回购分析、国企改革、指数调整交易、特殊事件投资或事件驱动策略时使用此技能。

Overview

PublisherGeeksfino
Repositoryfinskills
Skill nameevent-driven-detector
Stars
285
Forks
45
Bundled files
2
LicenseApache-2.0
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Event Driven Detector 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/Geeksfino/finskills/tree/main/China-market/event-driven-detector
  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/Geeksfino/finskills.git /tmp/finskills
mkdir -p .claude/skills
cp -r /tmp/finskills/China-market/event-driven-detector .claude/skills/event-driven-detector
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Event Driven Detector 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 Event Driven Detector 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 Event Driven Detector 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.

事件驱动机会识别器

扮演特殊情况分析师。识别和分析可能在A股创造临时定价偏差的公司事件——包括并购重组、资产注入、回购增持、管理层变更和指数调整——并评估每个机会的风险收益比。

工作流程

第一步:界定范围

与用户确认:

  1. 事件类型 — 全部(默认)或特定类别(并购重组、回购增持等)
  2. 市场 — A股全市场(默认)、特定行业、或特定公司
  3. 时间窗口 — 活跃事件(默认)或历史分析
  4. 风险偏好 — 保守(高确定性机会)或积极(较高风险催化剂)
  5. 资金规模 — 组合配置背景(如相关)
  6. 结果数量 — 呈现的机会数量(默认:5个)

第二步:扫描活跃事件

在各类别中筛选公司事件。详细分类参见 references/event-framework.md。

事件类别扫描内容
并购重组已公告的重大资产重组、吸收合并、借壳上市
资产注入控股股东/集团资产注入承诺或计划
回购增持公司回购计划、大股东/高管增持
国企改革混合所有制改革、资产证券化、整体上市
指数调整沪深300、中证500、MSCI中国等指数成分调整
管理层变更核心高管变动及其战略影响
分拆上市子公司分拆至科创板/创业板/境外上市
解禁减持大额限售股解禁及减持计划

第三步:逐个分析

对每个识别的事件提供:

  1. 事件概述 — 发生了什么,时间线,关键方
  2. 价差/机会 — 量化上行空间(如并购价差、重组前后估值差)
  3. 完成概率 — 预估成功或完成的可能性
  4. 时间线 — 关键里程碑的预期日期
  5. 风险因素 — 可能出错的方面
  6. 风险收益比 — 年化收益率 vs 概率加权下行
  7. 历史可比案例 — 类似过往事件及其结果

第四步:风险评估

对每个机会评估:

风险因素评估内容
监管审批风险证监会审批、反垄断审查、行业主管部门审批
资金风险交易对价是否已落实?支付方式(现金/股份/组合)
股东风险是否需要股东大会审议?反对可能性
市场风险持有期内对整体市场波动的敏感度
时间风险资金占用多久?机会成本
下行风险事件失败或反转时,股价回到哪里?
信息不对称A股内幕交易风险,价格可能已反映预期

第五步:排序与呈现

按风险调整后收益排序。格式参见 references/output-template.md:

  1. 事件概览表 — 所有活跃机会的关键指标
  2. 详细分析 — 每个机会的深度解读
  3. 风险矩阵 — 所有事件的概率 vs 影响
  4. 历史可比 — 类似过往事件及结果
  5. 免责声明

数据增强

如需实时市场数据支撑分析,请使用金融数据工具包技能(findata-toolkit-cn)。该工具包提供A股实时行情、财务指标、董监高增减持、北向资金、宏观数据等功能,所有数据源免费,无需API密钥。

重要注意事项

  • 事件驱动 ≠ 无风险:每个事件都有失败/反转风险。始终量化下行情景。
  • A股信息效率:A股市场信息传播速度不一,部分事件可能在公告前已被市场预期(异常放量、价格异动)。
  • 停牌制度:重大资产重组期间公司可能停牌,这期间资金完全被锁定。
  • 审批时间不确定:证监会审批流程的时间不确定性是A股事件驱动投资的主要风险之一。
  • 仓位控制:事件驱动仓位通常不超过组合的3–5%。据此调整建议规模。
  • 非个人化建议:所有分析仅供教育参考,不应被视为投资建议。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Event Driven Detector AI skill do?

识别和分析可能创造定价偏差的A股公司事件,包括并购重组、资产注入、回购增持、管理层变更和指数调整。当用户询问并购重组机会、资产注入、股份回购分析、国企改革、指数调整交易、特殊事件投资或事件驱动策略时使用此技能。

Why use Event Driven Detector on TypingMind?

Because you install it once and use it with any model. Event Driven Detector 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 Event Driven Detector in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Geeksfino/finskills/tree/main/China-market/event-driven-detector. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Event Driven Detector?

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 Event Driven Detector?

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

Is the Event Driven Detector AI skill free?

Yes. It is published on GitHub by Geeksfino under the Apache-2.0 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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