Bull Bear Case Builder Skill logo

Bull Bear Case Builder Skill

Organization
Wind-Alice
bull_bear_case_builder_skill

同时搭建看多与看空逻辑,比较证据强弱、关键变量与情景路径,帮助识别核心分歧。适用于防止确认偏误、研究前辩论、投资观点校验等场景。

Overview

PublisherWind-Alice
RepositoryAliceMarket
Skill namebull_bear_case_builder_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 Bull Bear Case Builder 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/bull_bear_case_builder_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/bull_bear_case_builder_skill .claude/skills/bull_bear_case_builder_skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bull Bear Case Builder 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 Bull Bear Case Builder 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 Bull Bear Case Builder 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.

Bull Bear Case Builder 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

本技能用于围绕一只股票的核心命题,系统构建看多与看空两套论证,并比较双方证据、假设、催化与脆弱点。输出重点不是“站队”,而是帮助使用者识别当前最值得争论的变量,压缩情绪化判断和确认偏误。

执行流程

Step 1:定义争论命题与讨论边界

先明确这次论证到底在回答什么问题,例如:

  • 这只股票未来 6-12 个月是否有超额收益机会
  • 当前股价是否高估或低估了某项业务变化
  • 近期上涨是趋势启动还是情绪透支

同时界定时间维度、讨论对象和可接受的证据范围,避免把长期逻辑与短期交易混在一起。

Step 2:收集双方共用的基础事实

先整理不带立场的基础信息,作为后续多空两边共同使用的底座,包括:

  • 公司业务与产业链位置
  • 最近的经营变化、公告、财务表现
  • 市场关注的核心变量
  • 当前估值和股价位置

这一阶段不急于下结论,重点是把双方都会引用的事实材料整理齐。

Step 3:搭建看多论证

围绕最强的上涨逻辑,建立一条完整链路:

  • 市场可能低估了什么
  • 哪个变量正在改善
  • 该改善为何有持续性
  • 一旦被验证,股价弹性从哪里来

看多论证应尽量具体到经营变量、事件节点和预期修正路径,而不是只写“行业空间大”“公司优秀”这类空泛表达。

Step 4:搭建看空论证

围绕最强的反方逻辑,建立对应链路:

  • 当前市场可能高估了什么
  • 哪些改善可能只是阶段性噪音
  • 哪些约束会阻碍逻辑兑现
  • 若不及预期,估值和情绪会如何反噬

看空论证不能沦为机械挑刺,而要聚焦真正会导致投资失败的关键变量。

Step 5:比较证据强弱与触发条件

把多空双方放到同一框架下比较,重点看:

  • 哪边的证据更直接、更可验证
  • 哪边更依赖未经证实的外推假设
  • 哪些事件会率先验证某一方
  • 哪些变量一旦反向,就会让整套叙事失效

必要时可区分“短期谁占优”和“长期谁占优”,避免强行给出单一时间维度的答案。

Step 6:形成结论与后续跟踪清单

最终给出:

  • 当前更占优的是哪一边,理由是什么
  • 这个结论的置信度有多高
  • 接下来最需要跟踪的验证点是什么

若双方证据仍接近,也应明确写出“暂不站队,等待验证”的条件,而不是假装已有清晰答案。

输出结构


{股票名称}多空论证({YYYY-MM-DD})

一、核心争论命题

{用 1-2 句话说明当前市场真正争论的问题}

二、双方共用事实底座

事实项当前情况与争论的关系
{事实1}{描述}{说明}
{事实2}{描述}{说明}
{事实3}{描述}{说明}

三、看多论证

  • 核心观点:{一句话}
  • 主要证据:{2-3 条}
  • 关键催化:{事件或变量}
  • 最脆弱假设:{一句话}

四、看空论证

  • 核心观点:{一句话}
  • 主要证据:{2-3 条}
  • 关键触发:{事件或变量}
  • 最脆弱假设:{一句话}

五、对照判断

维度看多看空当前占优方
证据直接性{描述}{描述}{多/空/接近}
可验证性{描述}{描述}{多/空/接近}
时间敏感度{描述}{描述}{多/空/接近}
赔率影响{描述}{描述}{多/空/接近}

六、当前结论

  • 当前更占优的方向:{看多 / 看空 / 暂不站队}
  • 理由:{简述}
  • 置信度:{高 / 中 / 低}

七、接下来必须跟踪的验证点

  • {验证点 1}
  • {验证点 2}
  • {验证点 3}

质量要求

  1. 多空双方必须使用同一组事实底座,避免“双重标准”。
  2. 看多和看空都要写最强版本,而不是把反方写成稻草人。
  3. 结论必须落到具体变量与验证条件,不能只给模糊态度。
  4. 若某一方证据明显薄弱,应直接指出,不做表面平衡。
  5. 输出目标是帮助判断分歧,不是写成情绪化的站队文章。

Frequently asked questions

What does the Bull Bear Case Builder Skill AI skill do?

同时搭建看多与看空逻辑,比较证据强弱、关键变量与情景路径,帮助识别核心分歧。适用于防止确认偏误、研究前辩论、投资观点校验等场景。

Why use Bull Bear Case Builder Skill on TypingMind?

Because you install it once and use it with any model. Bull Bear Case Builder 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 Bull Bear Case Builder Skill in TypingMind?

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

Which AI models can use Bull Bear Case Builder 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 Bull Bear Case Builder Skill?

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

Is the Bull Bear Case Builder 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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