Breakout Trade Execution Skill logo

Breakout Trade Execution Skill

Organization
Wind-Alice
breakout_trade_execution_skill

围绕突破交易制定从观察、触发、跟进到失效处理的落地执行方案,兼顾量价确认、环境配合与失败撤退。适用于盘前预案、盘中突破跟踪与强势股首日执行场景。

Overview

PublisherWind-Alice
RepositoryAliceMarket
Skill namebreakout_trade_execution_skill
Stars
135
Forks
18
Bundled files
Instructions only
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.

  • 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 Breakout Trade Execution Skill 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/Wind-Alice/AliceMarket/tree/main/skills/breakout_trade_execution_skill
  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/Wind-Alice/AliceMarket.git /tmp/AliceMarket
mkdir -p .claude/skills
cp -r /tmp/AliceMarket/skills/breakout_trade_execution_skill .claude/skills/breakout_trade_execution_skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Breakout Trade Execution 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 Breakout Trade Execution 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 Breakout Trade Execution 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.

Breakout Trade Execution 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

本技能用于把“这只股票可能要突破了”转化成一份临盘可用的执行方案。输出重点不是泛泛讨论突破形态,而是明确突破前看什么、突破时怎么确认、突破后如何跟进,以及一旦失败应怎样快速撤退。

功能简介

本技能的核心功能是:为突破交易制定落地执行方案。

它强调把结构判断、量能确认、市场环境、入场节奏和失败修正连接起来,帮助使用者把追强从情绪动作变成纪律动作。

使用场景

  • 用户准备在关键阻力位附近做突破跟随。
  • 盘前需要把候选突破股写成具体执行预案。
  • 盘中出现快速放量上冲,需要判断该不该跟、怎么跟。
  • 团队要统一突破交易的确认口径和撤退规则。

工作原则

  1. 突破执行必须先区分“接近突破”和“有效突破”。
  2. 价格站上关键位只是开始,量能承接和环境配合同样重要。
  3. 突破交易要有明确追价上限,不能无限追。
  4. 失败撤退方案必须和入场方案同时写定。
  5. 正文只输出执行框架,不讨论内部实现细节。

执行流程

Step 1:定义突破结构与关键位

先把这笔交易的突破对象定义清楚:

  • 关键阻力位或平台上沿在哪里
  • 当前是箱体突破、平台突破、杯柄突破还是其他整理后的释放
  • 结构是否已经足够成熟,还是仍偏早期
  • 当前价格距触发位是接近、过远还是已提前透支

Step 2:判断环境是否支持追强

突破成功率很大程度取决于环境:

  • 指数与情绪是否允许高位扩散
  • 板块是否存在明显的强势核心
  • 市场当前偏好追随新高,还是更容易冲高回落
  • 同类突破近期成功率如何

若环境不支持,应主动降低执行积极度。

Step 3:设定触发条件与确认层级

把突破触发拆成更严谨的层级:

  • 盘中触发需要满足哪些价格条件
  • 是否需要同步看到放量、换手、承接等确认
  • 高开直接越过关键位时,是否仍属于可执行机会
  • 若突破后立刻回落,何时判定为无效

Step 4:设计入场节奏与追价边界

突破交易最怕“追得太晚,退得太慢”。需要提前明确:

  • 首笔是在刚触发时进入,还是等待回踩确认
  • 允许追价的价格带和最大偏离是多少
  • 是一次完成,还是必须先小仓验证
  • 若首个买点错过,是否允许等待二次机会

Step 5:制定持仓后跟进与加仓规则

一旦执行后,下一步也要提前写清:

  • 哪种走势说明突破真实有效
  • 哪种回踩属于健康确认,哪种回落属于危险信号
  • 是否允许在确认后加仓
  • 若当日尾盘未能站稳,隔夜持有是否仍合理

Step 6:设计失败突破撤退动作

突破交易最关键的不是抓住多少成功,而是少吃失败:

  • 跌回关键位下方时如何处理
  • 放量冲高后无承接是否必须降仓
  • 若次日低开失守,动作顺序是什么
  • 是否允许保留小仓位等待重新构建

Step 7:形成突破执行成稿

最终输出应让使用者知道“什么时候可以动、到什么程度不该追、突破后看什么、失败时怎么退”。正文保留关键位、执行条件和撤退纪律。

输出结构


突破交易执行方案({YYYY-MM-DD})

一、30 秒结论

  • 交易对象:{股票名称}
  • 突破类型:{内容}
  • 环境适配度:{高 / 中 / 低}
  • 执行倾向:{积极跟随 / 条件跟随 / 暂不追}
  • 最大风险:{一句话}

二、突破执行框架

项目内容
关键位{内容}
触发条件{内容}
确认信号{内容}
入场节奏{内容}
追价上限{内容}
失败边界{内容}

三、盘中与盘后跟踪

  • 盘中重点观察:{内容}
  • 尾盘确认点:{内容}
  • 次日验证点:{内容}

四、失败撤退方案

  • {动作1}
  • {动作2}
  • {动作3}

五、风险提示

  • {风险1}
  • {风险2}
  • {风险3}

质量要求

  1. 需明确区分突破前、突破中、突破后三个阶段。
  2. 触发条件、追价边界和失败边界必须同时存在。
  3. 环境不支持时要敢于给出不追结论。
  4. 失败处理必须具体到动作顺序。
  5. 输出应直接服务真实临盘执行,而不是泛化技术点评。

Frequently asked questions

What does the Breakout Trade Execution Skill AI skill do?

围绕突破交易制定从观察、触发、跟进到失效处理的落地执行方案,兼顾量价确认、环境配合与失败撤退。适用于盘前预案、盘中突破跟踪与强势股首日执行场景。

Why use Breakout Trade Execution Skill on TypingMind?

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

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

Which AI models can use Breakout Trade Execution 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 Breakout Trade Execution Skill?

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

Is the Breakout Trade Execution 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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