Hot Stock Quick Read Skill

Organization

Wind-Alice

hot_stock_quick_read_skill

在极短时间内解释热门股的业务、催化、市场预期、资金关注点与主要风险。适用于看到热股但不熟悉、临时补课、快速建立可讨论的基础认知等场景。

Overview

Publisher	Wind-Alice
Repository	`AliceMarket`
Skill name	`hot_stock_quick_read_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 Hot Stock Quick Read 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/hot_stock_quick_read_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/hot_stock_quick_read_skill .claude/skills/hot_stock_quick_read_skill

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

Use it in TypingMind

Enable Hot Stock Quick Read 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 Hot Stock Quick Read 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 Hot Stock Quick Read 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.

Hot Stock Quick Read 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

本技能用于在短时间内让使用者“先看懂，再决定要不要继续研究”。输出不追求面面俱到，而是把热门股最关键的五件事讲清楚：它做什么、为什么火、市场在赌什么、最容易错在哪里、现在最该看哪个变量。

执行流程

Step 1：先确认热度来源

先明确这只股票为什么成为热门股，热度来源通常包括：

突发公告、财报、政策、合作、产品发布
板块主线映射或龙头带动
连续涨停、强势突破、放量异动
媒体集中讨论、社交传播、市场情绪聚焦

不同热度来源决定后续解读框架不同。

Step 2：用最少信息讲清业务

用极简语言回答三个问题：

公司主要做什么
靠什么赚钱
与当前热门逻辑最相关的业务环节是什么

不要写成长篇公司介绍，只保留和当前热度有关的业务模块。

Step 3：解释当前市场在交易什么

围绕热度来源，提炼当前市场真正关心的核心命题，例如：

业绩是否会超预期
题材是否会继续扩散
估值是否会被重估
公司是否具备从概念走向兑现的能力

Step 4：提炼多空要点

至少分别给出 2-3 条最重要的看多与看空逻辑，避免只写单边叙事。重点不是全面列举，而是找出当前股价最敏感的争议变量。

Step 5：给出跟踪重点

告诉使用者若继续关注这只票，接下来最应该看什么：

哪个经营指标
哪个事件节点
哪个价格位置
哪类资金表现

Step 6：压缩成三分钟快读稿

最终输出应让用户在 3 分钟内完成补课。保留判断密度，压缩背景废话，不展示采集过程。

输出结构

{股票名称}热门股快读

一、这只股票为什么火

{用 2-3 句话说明当前热度来源与市场关注焦点}

二、业务一句话讲清

公司在做什么：{一句话}
当前主线相关业务：{一句话}
赚钱方式：{一句话}

三、当前市场在交易什么

核心命题：{一句话}
关键验证变量：{1-2 个}

四、多空要点

看多逻辑

{要点 1}
{要点 2}

看空逻辑

{要点 1}
{要点 2}

五、接下来最该盯什么

事件节点：{事件}
经营变量：{变量}
风险点：{风险}

质量要求

输出要围绕“为什么现在值得看”展开，而不是泛泛做公司介绍。
多空逻辑必须尽量对称，防止热门叙事带来的单边偏见。
找不到可靠证据支撑的热门说法，不要当成既定事实写入正文。
若股价热度明显高于基本面验证进度，要明确提示兑现风险。
文本应适合快速补课，避免冗长叙述和历史沿革堆砌。

Frequently asked questions

What does the Hot Stock Quick Read Skill AI skill do?

Why use Hot Stock Quick Read Skill on TypingMind?

Because you install it once and use it with any model. Hot Stock Quick Read 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 Hot Stock Quick Read Skill in TypingMind?

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

Which AI models can use Hot Stock Quick Read 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 Hot Stock Quick Read Skill?

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

Is the Hot Stock Quick Read 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.

View all

Openclaw Ci Limits

openclaw

OrganizationPopular

Manage OpenClaw GitHub Actions and Blacksmith CI capacity, runner-registration budgets, fanout caps, main-push single-flight, shard sizing, hosted-runner offload, queue health, and safe…

Openclaw Debugging

Debug OpenClaw model, provider, tool-surface, code-mode, streaming, and live/Crabbox behavior by choosing the right logs, probes, and proof path before changing code, including fetching stored…

Openclaw Live Updater

openclaw

OrganizationPopular

Maintain the canonical live OpenClaw main checkout, macOS LaunchAgent-managed Gateway, local macOS app, exact-head main CI, and recurring full release validation. Use for fast-forward update…

Openclaw Pr Maintainer

openclaw

OrganizationPopular

Review, triage, repair, or land OpenClaw issues and pull requests with current-source evidence and the native maintainer workflow.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Hot Stock Quick Read Skill

数据依赖与执行前置条件

技能定位

执行流程

Step 1：先确认热度来源

Step 2：用最少信息讲清业务

Step 3：解释当前市场在交易什么

Step 4：提炼多空要点

Step 5：给出跟踪重点

Step 6：压缩成三分钟快读稿

输出结构

{股票名称}热门股快读

一、这只股票为什么火

二、业务一句话讲清

三、当前市场在交易什么

四、多空要点

看多逻辑

看空逻辑

五、接下来最该盯什么

质量要求

Frequently asked questions

Related AI Skills

Set up your own AI workspace now