Dip Buy Decision Skill

Organization

Wind-Alice

dip_buy_decision_skill

判断下跌或回调中的个股是否值得承接，并给出观察区、试错条件、分批节奏与放弃标准。适用于趋势回踩、事件后回落、震荡低吸与左侧谨慎试错场景。

Overview

Publisher	Wind-Alice
Repository	`AliceMarket`
Skill name	`dip_buy_decision_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 Dip Buy Decision 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/dip_buy_decision_skill
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.

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/dip_buy_decision_skill .claude/skills/dip_buy_decision_skill

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

Use it in TypingMind

Enable Dip Buy Decision 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 Dip Buy Decision 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 Dip Buy Decision 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.

Dip Buy Decision 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

本技能用于判断“这次下跌是机会，还是麻烦的开始”。输出重点不是鼓励盲目抄底，而是帮助使用者区分趋势内正常回调、事件性错杀、结构性转弱与纯粹下跌中继，并把承接动作写成有边界的试错方案。

功能简介

本技能的核心功能是：判断回调能不能接以及怎么接。

它强调先判断回调性质，再决定是否试错、如何分批和何时放弃，帮助使用者避免把所有下跌都误判成机会。

使用场景

强势股回调后，用户想判断是否迎来低吸窗口。
财报、公告或市场波动后，股价快速下跌，需要区分错杀与破位。
用户想在回调中布局，但不希望把低吸做成接飞刀。
团队需要把“值得承接”与“只能观察”分开管理。

工作原则

低吸前必须先判断回调性质，而不是先决定要不要买。
趋势未坏、逻辑未坏、环境未坏，才有承接讨论价值。
低吸更适合分批试错，不适合一次性重仓判断。
必须提前写清放弃标准，避免越跌越补。
正文只呈现判断依据与方案，不讨论内部实现过程。

执行流程

Step 1：确认回调背景与下跌类型

先判断这次下跌属于哪一类：

强势上涨后的技术性回踩
消息或财报后的情绪性下跌
大盘系统性波动带来的被动拖累
逻辑开始转弱后的趋势破坏

只有先识别下跌类型，后续承接才有意义。

Step 2：检查原有上升逻辑是否仍成立

低吸成立的前提是“贵在回调，不是贵在走坏”：

核心驱动是否还在
板块或主题是否仍具备活跃度
市场对原有逻辑的分歧是否只是短期放大
是否出现新的负面变量改变了原判断

Step 3：识别承接区与观察区

把“跌到哪里可以看”写清楚：

哪些位置可能形成有意义的支撑
哪些区域只是中继停顿，不能贸然承接
当前价格距离合理观察区还有多远
若价格直接跌穿观察区，应如何重新评估

Step 4：判断回调质量与企稳证据

不是所有跌深都值得买，更重要的是跌法：

回调过程中量能是释放还是失控
下跌是有序回踩还是单边踩踏
是否出现止跌、缩量、承接回升等积极线索
若没有企稳证据，是等待确认还是直接放弃

Step 5：设计试错方式与分批节奏

低吸更应重视仓位节奏：

首笔只承担什么级别的试错任务
后续在哪些确认下允许补第二笔
若回调继续深化，是否应暂停而不是摊低成本
是否需要将总计划仓位显著低于追突破交易

Step 6：设定放弃标准与失败边界

低吸决策最重要的不是买点，而是停止点：

哪个位置或哪类信息出现后应放弃承接
连续弱反弹是否说明承接逻辑无效
若环境同步恶化，是否需要提前终止
何时认定这不是回调而是趋势破坏

Step 7：形成低吸决策成稿

最终输出应帮助使用者知道“能不能接、在哪里接、先接多少、什么情况下不再接”。正文保留回调性质判断、承接区、节奏和放弃标准。

输出结构

低吸决策方案（{YYYY-MM-DD}）

一、30 秒结论

交易对象：{股票名称}
回调性质：{健康回踩 / 情绪错杀 / 趋势破坏风险}
操作倾向：{可试错 / 等待企稳 / 不承接}
观察区间：{内容}
放弃标准：{一句话}

二、回调判断

维度	判断	结论影响
原逻辑完整度	{内容}	{内容}
板块环境	{内容}	{内容}
回调质量	{内容}	{内容}
企稳证据	{内容}	{内容}

三、执行节奏

首笔试错条件：{内容}
二次承接条件：{内容}
不再追加条件：{内容}

四、失败边界

{边界1}
{边界2}
{边界3}

五、风险提示

{风险1}
{风险2}
{风险3}

质量要求

必须先判断回调性质，再给出承接建议。
低吸建议必须搭配分批节奏与放弃标准。
要区分“回调到位”和“走势走坏”。
若企稳证据不足，应明确建议继续等待。
输出应降低接飞刀概率，而不是美化左侧交易。

Frequently asked questions

What does the Dip Buy Decision Skill AI skill do?

Why use Dip Buy Decision Skill on TypingMind?

Because you install it once and use it with any model. Dip Buy Decision 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 Dip Buy Decision Skill in TypingMind?

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

Which AI models can use Dip Buy Decision 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 Dip Buy Decision Skill?

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

Is the Dip Buy Decision 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

Dip Buy Decision Skill

数据依赖与执行前置条件

技能定位

功能简介

使用场景

工作原则

执行流程

Step 1：确认回调背景与下跌类型

Step 2：检查原有上升逻辑是否仍成立

Step 3：识别承接区与观察区

Step 4：判断回调质量与企稳证据

Step 5：设计试错方式与分批节奏

Step 6：设定放弃标准与失败边界

Step 7：形成低吸决策成稿

输出结构

低吸决策方案（{YYYY-MM-DD}）

一、30 秒结论

二、回调判断

三、执行节奏

四、失败边界

五、风险提示

质量要求

Frequently asked questions

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