Volume Spike Reasoning Skill

Organization

Wind-Alice

volume_spike_reasoning_skill

对股票盘中或日内放量异动进行归因，判断是消息驱动、资金行为、情绪扩散还是技术性放量。适用于盘中放量时快速判断、缩小排查范围、识别真假异动等场景。

Overview

Publisher	Wind-Alice
Repository	`AliceMarket`
Skill name	`volume_spike_reasoning_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 Volume Spike Reasoning 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/volume_spike_reasoning_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/volume_spike_reasoning_skill .claude/skills/volume_spike_reasoning_skill

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

Use it in TypingMind

Enable Volume Spike Reasoning 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 Volume Spike Reasoning 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 Volume Spike Reasoning 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.

Volume Spike Reasoning 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

本技能用于解释“为什么突然放量”，并把放量背后的性质区分为事件驱动、板块扩散、主力博弈、技术位释放或情绪交易。目标是避免把所有放量都当成利好，也避免错过真正有信息含量的放量。

执行流程

Step 1：确认放量发生的上下文

先定义放量发生的时间粒度与市场位置：

盘中瞬时放量、半小时放量、全天放量
放量发生在上涨、下跌、横盘还是突破/跌破附近
当日是否叠加高换手、跳空、封板、炸板或尾盘异动

Step 2：判断放量是否显著偏离常态

比较当前成交表现与近阶段常态水平，重点看：

成交额或成交量是否显著抬升
换手率变化是否同步明显
放量是持续型还是脉冲型
放量是否主要集中在单一时段

Step 3：排查增量驱动来源

重点从四类原因进行排查：

事件驱动：公告、新闻、政策、财报、产品、订单、监管
板块驱动：同行集体异动、题材发酵、龙头带动
技术驱动：关键位突破、跌破、止损踩踏、趋势加速
资金驱动：情绪抢筹、游资接力、博弈换手、尾盘资金试盘

Step 4：识别放量质量

放量本身不代表有效，必须回答：

价格是否顺着放量方向推进
是否出现“只放量不走价”或“放量冲高回落”
放量后是否带来结构重估，而不是一天脉冲
当前市场是否支持这种放量延续

Step 5：输出跟踪重点

给出后续最重要的验证问题，例如：

次日是否承接
关键位置是否站稳
是否继续获得题材热度支持
成交是否回落到常态后仍能维持价格强势

Step 6：整合为归因结果

最终输出以“放量性质 + 可信度 + 后续观察点”为主，不展示内部排查路径。

输出结构

{股票名称}放量异动归因

一、放量概况

放量时段：{盘中/全天/尾盘}
价格表现：{上涨/下跌/冲高回落/震荡}
放量特征：{显著程度与持续性描述}

二、主要归因

归因方向	判断	说明
事件驱动	高/中/低	{是否存在明确增量信息}
板块驱动	高/中/低	{是否有集体共振}
技术驱动	高/中/低	{是否与关键位置有关}
资金博弈	高/中/低	{是否更像情绪或资金行为}

三、放量质量判断

可信度：{高/中/低}
最支持当前判断的证据：{1-2 条}
最需要警惕的风险：{1-2 条}

四、后续跟踪

下一步重点看：{信号}
若继续强化：{意味着什么}
若迅速衰减：{意味着什么}

质量要求

归因必须覆盖多种可能，不允许一上来就把放量等同于利好。
若证据不足，允许给出“归因暂不充分”的判断。
解释重点是“放量为何发生”以及“是否值得继续跟踪”。
同时存在多重原因时，要明确主因与次因，不要并列堆砌。
输出应服务盘中快速判断，结论要短而稳。

Frequently asked questions

What does the Volume Spike Reasoning Skill AI skill do?

Why use Volume Spike Reasoning Skill on TypingMind?

Because you install it once and use it with any model. Volume Spike Reasoning 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 Volume Spike Reasoning Skill in TypingMind?

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

Which AI models can use Volume Spike Reasoning 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 Volume Spike Reasoning Skill?

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

Is the Volume Spike Reasoning 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

Volume Spike Reasoning Skill

数据依赖与执行前置条件

技能定位

执行流程

Step 1：确认放量发生的上下文

Step 2：判断放量是否显著偏离常态

Step 3：排查增量驱动来源

Step 4：识别放量质量

Step 5：输出跟踪重点

Step 6：整合为归因结果

输出结构

{股票名称}放量异动归因

一、放量概况

二、主要归因

三、放量质量判断

四、后续跟踪

质量要求

Frequently asked questions

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