Buyback Program Reviewer Skill

Organization

Wind-Alice

buyback_program_reviewer_skill

判断回购计划的规模、动机、执行约束与真实利好程度。适用于公司宣布回购、估值争议期、资本配置分析等场景。

Overview

Publisher	Wind-Alice
Repository	`AliceMarket`
Skill name	`buyback_program_reviewer_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 Buyback Program Reviewer 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/buyback_program_reviewer_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/buyback_program_reviewer_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/buyback_program_reviewer_skill .claude/skills/buyback_program_reviewer_skill

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

Use it in TypingMind

Enable Buyback Program Reviewer 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 Buyback Program Reviewer 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 Buyback Program Reviewer 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.

Buyback Program Reviewer 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

本技能用于评审公司回购计划的真实质量，重点回答“这次回购到底有多大、是否真能执行、管理层为什么现在做、对每股价值和市场信号的影响有多强”。输出重点不是把公告原文复述一遍，而是判断回购是实质利好、常规姿态，还是更多偏展示性动作。

执行流程

Step 1：确认回购条款与基本事实

先把回购计划的关键条款梳理清楚，至少包括：

回购总金额或股数上限
回购期限
回购方式
资金来源
是否注销、用于股权激励、员工持股或其他用途

若公告只有授权框架而无明确执行安排，应明确标注。

Step 2：衡量回购规模是否有实质意义

回购是否重要，首先取决于规模。重点判断：

相对于公司市值、流通股本的占比
相对于年度自由现金流和账上现金的压力
与历史回购规模相比是升级、常规还是象征性
与同业资本配置方式相比是否突出

Step 3：分析管理层为什么现在宣布回购

进一步判断回购背后的核心动因，常见包括：

管理层认为估值低估
需要稳定市场信心或修复预期
缺乏更高回报的再投资机会
对冲股权激励摊薄
资本结构管理或股东回报政策调整

动因分析应尽量结合公司当前经营阶段，而不是套用固定模板。

Step 4：区分“授权回购”与“实际执行”

很多回购计划存在执行不确定性，需要重点评估：

公司过去回购承诺的兑现度如何
当前现金流和资产负债表是否支持持续执行
是否存在监管、窗口期或其他技术约束
回购用途是否会弱化对股东的真实增厚效果

Step 5：映射到每股价值与投资逻辑

把回购从公告层翻译成研究层，至少回答：

对每股收益、股本结构和股东回报的潜在影响
是否改变当前估值支撑
是强化长期逻辑，还是仅提供短期情绪支撑
哪些情况下回购计划可能被市场忽略

Step 6：整合成回购评审成稿

最终输出应帮助使用者判断“这次回购值不值得当真”，而不是停留在公告摘要层面。

输出结构

{股票名称}回购评审（{YYYY-MM-DD}）

一、30 秒结论

计划强度：{强 / 中 / 弱}
核心判断：{一句话}
最重要的支持点：{一句话}
最需要警惕的地方：{一句话}

二、回购关键条款

项目	内容	评审
回购规模	{内容}	{说明}
回购期限	{内容}	{说明}
资金来源	{内容}	{说明}
回购用途	{内容}	{说明}

三、为什么现在做回购

{动因 1}
{动因 2}
{动因 3}

四、真实利好程度判断

对每股价值的意义：{内容}
对市场情绪的意义：{内容}
执行落地难点：{内容}

五、后续跟踪清单

{跟踪项 1}
{跟踪项 2}
{跟踪项 3}

质量要求

必须区分“宣布回购”与“有效执行”，不能把授权等同于兑现。
回购规模必须放到市值、现金流和股本背景中解读。
应同时分析股东回报意义与管理层动机，避免单一视角。
若回购主要用于对冲摊薄，应明确说明其边际利好有限。
输出要回答“这次回购是不是高质量资本配置动作”。

Frequently asked questions

What does the Buyback Program Reviewer Skill AI skill do?

判断回购计划的规模、动机、执行约束与真实利好程度。适用于公司宣布回购、估值争议期、资本配置分析等场景。

Why use Buyback Program Reviewer Skill on TypingMind?

Because you install it once and use it with any model. Buyback Program Reviewer 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 Buyback Program Reviewer Skill in TypingMind?

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

Which AI models can use Buyback Program Reviewer 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 Buyback Program Reviewer Skill?

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

Is the Buyback Program Reviewer 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

Buyback Program Reviewer Skill

数据依赖与执行前置条件

技能定位

执行流程

Step 1：确认回购条款与基本事实

Step 2：衡量回购规模是否有实质意义

Step 3：分析管理层为什么现在宣布回购

Step 4：区分“授权回购”与“实际执行”

Step 5：映射到每股价值与投资逻辑

Step 6：整合成回购评审成稿

输出结构

{股票名称}回购评审（{YYYY-MM-DD}）

一、30 秒结论

二、回购关键条款

三、为什么现在做回购

四、真实利好程度判断

五、后续跟踪清单

质量要求

Frequently asked questions

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