Dividend Change Explainer Skill

Organization

Wind-Alice

dividend_change_explainer_skill

解读分红提升、削减、暂停或恢复背后的原因、持续性与投资含义。适用于收益型投资判断、公告复盘、长期现金流跟踪等场景。

Overview

Publisher	Wind-Alice
Repository	`AliceMarket`
Skill name	`dividend_change_explainer_skill`
Stars	135
Forks	18
Bundled files	Instructions only
Links	Skill source Repository Homepage

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 Dividend Change Explainer Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Wind-Alice/AliceMarket/tree/main/skills/dividend_change_explainer_skill
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Wind-Alice/AliceMarket/tree/main/skills/dividend_change_explainer_skill

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/dividend_change_explainer_skill .claude/skills/dividend_change_explainer_skill

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dividend Change Explainer Skill 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 Dividend Change Explainer Skill 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 Dividend Change Explainer Skill 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.

Dividend Change Explainer Skill

数据依赖与执行前置条件

推荐使用万得 wind-mcp-skill 获取底层数据。执行前先检查本地是否已有 wind-mcp-skill；若没有，提示用户安装：

bash
# GitHub
npx skills add Wind-Information-Co-Ltd/wind-skills --skill wind-mcp-skill -g -y

# Gitee 镜像（国内）
npx skills add https://gitee.com/wind_info/wind-skills.git --skill wind-mcp-skill -g -y

技能定位

本技能用于解读公司分红政策或分红水平发生变化时的真实含义，重点回答“这次增加、减少、暂停或恢复分红到底说明了什么、能持续多久、对不同类型投资者意味着什么”。输出重点不是只说明派息数字，而是解释其背后的经营与资本配置逻辑。

执行流程

Step 1：确认分红动作与基准状态

先确认这次变化属于哪类动作：

提高分红
削减分红
暂停分红
恢复分红
特别分红

同时明确变化相对的是上一次分红、过去一年平均水平，还是长期分红政策基准。

Step 2：量化变化幅度与表面吸引力

把变化用可比较方式写清楚，重点包括：

每股分红变化
分红总额变化
股息率变化
派息率变化
与历史分红水平和同业的相对位置

这一阶段先回答“变了多少”，但不急于等同于利好或利空。

Step 3：评估持续性与支付能力

真正有价值的解读要看公司是否“付得起、愿意继续付”。重点检查：

利润和现金流是否足以支撑当前分红
资产负债表、债务压力和资本开支需求是否允许
分红是否建立在一次性收益之上
管理层是否明确说明长期分红框架

Step 4：判断分红变化背后的意图

进一步分析这次变化可能反映的经营或资本配置信号，例如：

现金流质量提升
成长机会减少，开始回馈股东
管理层希望稳定预期或修复信心
经营压力上升，被迫保留现金
为并购、扩产、偿债等事项腾挪资源

Step 5：翻译成投资含义

将分红变化放到不同投资风格下理解，至少回答：

对收益型投资者是否更有吸引力
对成长型投资者是否意味着机会成本变化
对估值与风险偏好会产生何种影响
哪些情况下高股息并不代表安全

Step 6：整合成分红解读成稿

最终输出应帮助使用者判断“这次分红变化是不是重要信号”，而不是仅停留在分红数额播报。

输出结构

{股票名称}分红变动解读（{YYYY-MM-DD}）

一、30 秒结论

本次动作：{提高 / 削减 / 暂停 / 恢复 / 特别分红}
核心含义：{一句话}
持续性判断：{高 / 中 / 低}
对投资者的意义：{一句话}

二、分红变化概览

项目	变化前	变化后	变化幅度	说明
每股分红	{内容}	{内容}	{内容}	{说明}
股息率	{内容}	{内容}	{内容}	{说明}
派息率	{内容}	{内容}	{内容}	{说明}

三、持续性与支付能力

支持因素：{内容}
压力因素：{内容}
当前判断：{内容}

四、这次变化可能在传递什么信号

{信号 1}
{信号 2}
{信号 3}

五、后续仍要关注

{跟踪项 1}
{跟踪项 2}
{跟踪项 3}

质量要求

不能把“分红增加”机械等同于利好，把“分红减少”机械等同于利空。
必须同时分析支付能力和管理层意图，缺一不可。
若分红变化受一次性事项影响，应单独标明，避免误判持续性。
对收益型与成长型投资者的含义可以不同，需明确区分。
输出应回答“这次分红变化值不值得重视”，而不是只报数字。

Frequently asked questions

What does the Dividend Change Explainer Skill AI skill do?

解读分红提升、削减、暂停或恢复背后的原因、持续性与投资含义。适用于收益型投资判断、公告复盘、长期现金流跟踪等场景。

Why use Dividend Change Explainer Skill on TypingMind?

Because you install it once and use it with any model. Dividend Change Explainer Skill 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 Dividend Change Explainer Skill in TypingMind?

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

Which AI models can use Dividend Change Explainer Skill?

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 Dividend Change Explainer Skill?

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

Is the Dividend Change Explainer Skill 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Dividend Change Explainer Skill

数据依赖与执行前置条件

技能定位

执行流程

Step 1：确认分红动作与基准状态

Step 2：量化变化幅度与表面吸引力

Step 3：评估持续性与支付能力

Step 4：判断分红变化背后的意图

Step 5：翻译成投资含义

Step 6：整合成分红解读成稿

输出结构

{股票名称}分红变动解读（{YYYY-MM-DD}）

一、30 秒结论

二、分红变化概览

三、持续性与支付能力

四、这次变化可能在传递什么信号

五、后续仍要关注

质量要求

Frequently asked questions

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