Failed Breakout Exit Skill

Organization

Wind-Alice

failed_breakout_exit_skill

识别突破失败、冲高回落与关键位失守后的撤退信号，并给出减仓、止损与重新观察的动作顺序。适用于突破交易纠错、假突破处理与强势股失速后的快速修正场景。

Overview

Publisher	Wind-Alice
Repository	`AliceMarket`
Skill name	`failed_breakout_exit_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 Failed Breakout Exit 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/failed_breakout_exit_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/failed_breakout_exit_skill .claude/skills/failed_breakout_exit_skill

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

Use it in TypingMind

Enable Failed Breakout Exit 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 Failed Breakout Exit 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 Failed Breakout Exit 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.

Failed Breakout Exit 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

本技能用于处理突破交易中最致命也最常见的失败场景: 价格站上去了，但承接没有跟上，随后回落失守关键位。输出重点不是解释为什么看错，而是帮助使用者尽快识别假突破、收缩风险暴露，并保留再次观察的秩序。

功能简介

本技能的核心功能是：识别假突破并给出撤退动作。

它强调把失败信号、撤退顺序和后续重评条件写清楚，帮助使用者在突破失效时快速修正，而不是抱着“可能再拉回去”的幻想拖延。

使用场景

突破交易买入后，价格重新跌回关键位附近。
盘中放量冲高但尾盘回落，用户不确定该不该立刻处理。
次日低开失守使突破逻辑明显受损，需要快速修正。
团队想把假突破退出机制写成标准化纪律。

工作原则

假突破的核心不是“跌了多少”，而是“突破前提是否被破坏”。
失败撤退必须优先处理风险，再处理情绪和解释。
需要区分正常回踩确认和真正的失效回落。
撤退后要保留重新观察条件，避免把纠错变成情绪报复。
正文只给出识别与动作框架，不讨论内部实现过程。

执行流程

Step 1：确认突破原始前提

先回到交易最初的成立条件：

当时突破依赖的关键位、量能和环境是什么
当前价格回落破坏的是哪一部分前提
这笔交易原本属于试错突破还是确认突破
是否仍存在合理的回踩确认解释空间

Step 2：识别假突破信号层级

把失败迹象分成不同严重度：

盘中冲高回落但收盘仍站在关键位之上
收盘跌回关键位下方
次日低开继续走弱
放量冲高后几乎无承接，形成明显抛压

不同层级对应的动作强度应不同。

Step 3：区分正常回踩与失败回落

避免把所有回踩都当作失败，但也不能自我安慰：

回踩是否有缩量、承接和快速修复
跌回关键位下方后能否迅速重新站回
板块和环境是否仍支持再次发起
若量价结构明显转差，是否已不再值得等待

Step 4：设计撤退动作顺序

一旦确认失败风险上升，应明确动作优先级：

是先减半还是一次性退出
若尾盘确认失效，是否应隔夜降低暴露
若次日低开进一步失守，是否直接执行剩余退出
是否保留极小观察仓，还是全部清空等待重建

Step 5：补充失败后的重评条件

失败处理不等于永远拉黑，需要写清楚什么情况下还能再看：

重新站回关键位并得到承接
板块重新强化
出现新的催化或更优结构
成交结构重新改善

Step 6：形成假突破撤退成稿

最终输出应帮助使用者知道“现在是噪音、回踩还是失败；如果是失败，该怎么退；退完以后什么时候再看”。正文保留信号分级、撤退顺序和重评条件。

输出结构

假突破撤退方案（{YYYY-MM-DD}）

一、30 秒结论

交易对象：{股票名称}
当前状态：{正常回踩 / 高风险 / 已确认失败}
处理倾向：{继续观察 / 先降仓 / 明确退出}
关键失效信号：{一句话}
是否保留再观察资格：{是 / 否}

二、失败信号分级

层级	现象	含义	建议动作
轻度	{内容}	{内容}	{内容}
中度	{内容}	{内容}	{内容}
重度	{内容}	{内容}	{内容}

三、撤退动作顺序

{动作1}
{动作2}
{动作3}

四、重新观察条件

{条件1}
{条件2}
{条件3}

五、风险提示

{风险1}
{风险2}
{风险3}

质量要求

必须区分正常回踩与失败回落。
要对失败信号做层级划分，而不是只有二元判断。
撤退动作必须按顺序写清。
重新观察条件要具体，避免情绪性反复进出。
输出应帮助快速纠错，而不是延长侥幸期。

Frequently asked questions

What does the Failed Breakout Exit Skill AI skill do?

Why use Failed Breakout Exit Skill on TypingMind?

Because you install it once and use it with any model. Failed Breakout Exit 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 Failed Breakout Exit Skill in TypingMind?

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

Which AI models can use Failed Breakout Exit 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 Failed Breakout Exit Skill?

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

Is the Failed Breakout Exit 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

Failed Breakout Exit 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：确认突破原始前提

Step 2：识别假突破信号层级

Step 3：区分正常回踩与失败回落

Step 4：设计撤退动作顺序

Step 5：补充失败后的重评条件

Step 6：形成假突破撤退成稿

输出结构

假突破撤退方案（{YYYY-MM-DD}）

一、30 秒结论

二、失败信号分级

三、撤退动作顺序

四、重新观察条件

五、风险提示

质量要求

Frequently asked questions

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