Take Profit Ladder Skill

Organization

Wind-Alice

take_profit_ladder_skill

为盈利中的持仓设计分批止盈路径、保本上移规则与继续持有条件，平衡兑现收益与保留趋势利润。适用于盈利仓管理、强势股兑现与波段离场规划场景。

Overview

Publisher	Wind-Alice
Repository	`AliceMarket`
Skill name	`take_profit_ladder_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 Take Profit Ladder 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/take_profit_ladder_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/take_profit_ladder_skill .claude/skills/take_profit_ladder_skill

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

Use it in TypingMind

Enable Take Profit Ladder 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 Take Profit Ladder 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 Take Profit Ladder 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.

Take Profit Ladder 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

本技能用于解决“赚了以后怎么卖”这一类最常见、也最容易失序的问题。输出重点不是追求卖在最高点，而是帮助使用者在兑现利润、保护浮盈和保留趋势空间之间找到平衡，建立一套可重复执行的卖出框架。

功能简介

本技能的核心功能是：设计分批止盈路径与兑现规则。

它强调先定义什么情况下该锁定部分利润，什么情况下应继续让利润奔跑，再把卖出节奏写成清晰动作。

使用场景

持仓已经盈利，但不知道该一次卖、分批卖还是继续拿。
强势股快速上冲，用户担心“卖飞”和“利润回吐”两头挨打。
波段交易接近目标区，需要预先设计退出节奏。
团队想把卖出纪律标准化，减少盘中拍板式止盈。

工作原则

止盈的目标是优化收益分布，不是追求最高卖点。
卖出规则要同时考虑目标位、走势强弱、量价结构和市场环境。
兑现利润与保留趋势空间必须并存，不能极端化。
分批安排应提前写定，避免盈利后临时随意改规则。
正文只给出判断与方案，不讨论内部实现过程。

执行流程

Step 1：确认持仓阶段与盈利性质

先搞清楚当前盈利来自哪里：

是事件驱动后的快速拉升，还是趋势中的稳步推进
当前盈利处于初期、中段还是偏后段
这笔交易原本是快进快出，还是愿意留一部分跟趋势
用户更担心利润回吐，还是更担心过早卖飞

Step 2：定义基础目标位与关键兑现区

把“差不多该卖了”变成更明确的层级：

第一兑现区通常对应什么位置
第二兑现区是否与前高、目标区或明显阻力相关
若价格远超预期，是否保留趋势尾仓
若未到目标区但结构显著转弱，是否提前调整计划

Step 3：设计分批卖出梯度

将仓位拆成更容易执行的节奏：

第一批用于锁定确定性利润
第二批用于对冲回撤风险
最后一批用于保留趋势延续弹性

同时明确：

每一批的触发条件是什么
是按价格层级卖，还是按走势变化卖
是否允许盘中部分兑现、收盘再确认剩余仓位

Step 4：设置保本上移与保护浮盈规则

盈利管理不只是卖出，还包括动态保护：

首次兑现后，是否把止损上移至成本线以上
若趋势继续强化，是否逐步抬高保护位
若回撤发生但仍未破坏结构，哪些波动可以容忍
在何种情况下应把“趋势单”切回“兑现单”

Step 5：结合环境判断是否加快或放缓兑现

卖出节奏必须服从环境：

市场情绪高涨时，可否适当延后卖出
板块退潮时，是否需要更积极兑现
个股是否出现放量滞涨、冲高回落、加速末端等信号
若外部风险提升，是否优先保护已有利润

Step 6：补充意外情景与追踪节点

提前写清常见变体：

高开直接到目标区怎么处理
未到目标区但出现明显转弱怎么处理
回踩后再创新高，是否允许卖后回补
如何定义“剩余仓位继续持有”的前提

Step 7：形成止盈成稿

最终输出应帮助使用者清楚知道“什么时候先卖、卖多少、为什么还留、剩余仓位靠什么继续拿”。正文保留层级计划、保护规则和情景应对。

输出结构

分批止盈方案（{YYYY-MM-DD}）

一、30 秒结论

持仓对象：{股票名称}
当前盈利阶段：{初期 / 中段 / 后段}
止盈倾向：{积极兑现 / 分批锁盈 / 趋势尾仓继续拿}
首个兑现触发点：{内容}
剩余仓位持有前提：{一句话}

二、止盈梯度

批次	触发条件	建议动作	剩余仓位逻辑
第一批	{内容}	{内容}	{内容}
第二批	{内容}	{内容}	{内容}
尾仓	{内容}	{内容}	{内容}

三、保护浮盈规则

保本上移条件：{内容}
动态保护位：{内容}
趋势持有前提：{内容}

四、异常情景应对

{情景1}
{情景2}
{情景3}

五、风险提示

{风险1}
{风险2}
{风险3}

质量要求

止盈方案必须体现分批逻辑，而不是单点目标价。
每一批动作都要有清晰触发依据。
需要说明何时保护浮盈、何时继续放利润。
环境变化对止盈节奏的影响必须被写明。
输出应帮助盈利仓管理，而不是制造“卖在最高点”执念。

Frequently asked questions

What does the Take Profit Ladder Skill AI skill do?

Why use Take Profit Ladder Skill on TypingMind?

Because you install it once and use it with any model. Take Profit Ladder 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 Take Profit Ladder Skill in TypingMind?

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

Which AI models can use Take Profit Ladder 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 Take Profit Ladder Skill?

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

Is the Take Profit Ladder 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

Take Profit Ladder 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：确认持仓阶段与盈利性质

Step 2：定义基础目标位与关键兑现区

Step 3：设计分批卖出梯度

Step 4：设置保本上移与保护浮盈规则

Step 5：结合环境判断是否加快或放缓兑现

Step 6：补充意外情景与追踪节点

Step 7：形成止盈成稿

输出结构

分批止盈方案（{YYYY-MM-DD}）

一、30 秒结论

二、止盈梯度

三、保护浮盈规则

四、异常情景应对

五、风险提示

质量要求

Frequently asked questions

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