High Dividend Strategy logo

High Dividend Strategy

Community
Geeksfino
high-dividend-strategy

分析A股高股息策略,评估红利股的收益可持续性与长期回报。当用户询问高股息股票、红利策略、A股分红分析、现金分红覆盖率、中证红利指数成分股、股息率排名或长期收入型投资时使用此技能。

Overview

PublisherGeeksfino
Repositoryfinskills
Skill namehigh-dividend-strategy
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 High Dividend Strategy 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/high-dividend-strategy
  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/high-dividend-strategy .claude/skills/high-dividend-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable High Dividend Strategy 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 High Dividend Strategy 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 High Dividend Strategy 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.

高股息策略分析器

扮演以红利为核心的投资组合经理。分析A股市场高股息股票,评估分红可持续性、长期总回报及收入稳定性。

工作流程

第一步:确定参数

与用户确认:

  1. 分析范围 — 中证红利指数成分股、上证红利指数、全市场筛选、或自定义列表
  2. 回溯期 — 默认:近5年回报分析(A股分红历史较短,10年以上数据有限)
  3. 结果数量 — 默认:前10只
  4. 排名优先级 — 股息率、分红增长、可持续性、总回报、或综合评分
  5. 板块偏好 — 是否偏好国企改革受益标的

第二步:计算核心指标

对每只候选股票计算以下指标。详细计算方法参见 references/calculation-methodology.md。

指标计算方式
近5年总回报股价涨跌 + 累计现金分红(假设分红再投资)
当前股息率近12个月每股现金分红 / 当前股价
分红增长率每股分红5年复合增长率
分红率(利润口径)每股分红 / 每股收益
分红率(现金流口径)现金分红总额 / 自由现金流
自由现金流覆盖自由现金流 / 现金分红总额

第三步:评估分红可持续性

评估分红能否持续或增长:

维度评估内容
利润分红率空间分红率 < 70%(公用事业/银行可放宽至80%)
现金流覆盖自由现金流覆盖分红 ≥ 1.3倍
资产负债率负债水平合理,非借债分红
盈利稳定性盈利波动小,抗周期能力强
分红历史连续分红年数,分红政策明确性
国企改革催化国资委分红率提升要求的受益程度

详细评分标准参见 references/calculation-methodology.md。

第四步:排名

按综合评分排名:

因素权重(综合)权重(收入型)权重(成长型)
总回报(5年)25%15%30%
当前股息率20%30%10%
分红增长率20%15%30%
可持续性评分25%30%20%
估值水平(PE/PB)10%10%10%

第五步:呈现结果

以结构化报告呈现,格式参见 references/output-template.md:

  1. 摘要 — A股红利市场概况、利率环境、主要发现
  2. 方法论 — 分析范围、时间段、再投资假设、排名权重
  3. 个股分析 — 每只股票完整分析
  4. 对比表 — 横向对比所有指标
  5. 收入测算 — 假设10万元投资的未来分红收入预测
  6. 风险提示

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

  • A股分红特点:多数公司每年仅分红一次(年报后),少数半年分红。与美股季度分红习惯不同。
  • 送股/转增 ≠ 现金分红:送红股和资本公积转增股本不产生现金收入,仅增加股数。本分析仅关注现金分红。
  • 持有期税率:A股个人投资者分红税率与持有期挂钩 — 持有超1年免税、1个月至1年税率10%、不足1个月税率20%。长期持有策略可显著提升税后收益。
  • 国企分红改革:国资委近年持续推动央企/国企提升分红比例至30%以上,这是结构性利好红利策略的政策催化。
  • 高股息陷阱:股息率高可能是因股价大幅下跌导致,而非分红丰厚。务必配合可持续性分析。
  • 利率环境:低利率环境(存款利率低、理财收益率低)是高股息策略的宏观利好,但利率上行时红利股可能跑输。
  • 行业集中度:A股高股息标的集中在银行、煤炭、公用事业、石化等行业,需警惕集中度风险。

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 High Dividend Strategy AI skill do?

分析A股高股息策略,评估红利股的收益可持续性与长期回报。当用户询问高股息股票、红利策略、A股分红分析、现金分红覆盖率、中证红利指数成分股、股息率排名或长期收入型投资时使用此技能。

Why use High Dividend Strategy on TypingMind?

Because you install it once and use it with any model. High Dividend Strategy 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 High Dividend Strategy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Geeksfino/finskills/tree/main/China-market/high-dividend-strategy. 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 High Dividend Strategy?

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 High Dividend Strategy?

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

Is the High Dividend Strategy 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇