多科学透视

v1.0.2

多科学透视 — 用多个学科的视角透视任意想法,发现"未知的未知"。 将一段想法、对话或笔记,通过多个学科视角进行深度透视分析,拓展认知边界。 **当以下情况时使用此 Skill**: (1) 用户分享了一段对话、笔记或想法,希望多维度分析 (2) 用户说"多科学透视"、"多维分析"、"跨学科分析" (3) 用户想...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for zyq328328/duoke-xue-tou-shi.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "多科学透视" (zyq328328/duoke-xue-tou-shi) from ClawHub.
Skill page: https://clawhub.ai/zyq328328/duoke-xue-tou-shi
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install duoke-xue-tou-shi

ClawHub CLI

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npx clawhub@latest install duoke-xue-tou-shi
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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name, description, and included reference materials align with a multi‑disciplinary analysis skill. There are no unrelated required binaries, environment variables, or installation steps that contradict the stated purpose.
Instruction Scope
Runtime instructions are prose-only and limited to analyzing user-provided text or files. However, the SKILL.md explicitly says a user can "provide file path let AI read" with no constraints; that grants the agent permission to read arbitrary file paths the user supplies. This behavior is reasonable if the user intentionally points to a file they want analyzed, but it does broaden the surface for accidental exposure of sensitive local files. The instructions do not reference any other system paths or environment variables.
Install Mechanism
Instruction-only skill with no install spec and no code files to execute; nothing is downloaded or written to disk by an installer.
Credentials
The skill declares no required environment variables, credentials, or config paths — consistent and proportional for a text-analysis skill.
Persistence & Privilege
always:false and default autonomous invocation settings are used. The skill does not request elevated persistence or modification of other skills or system-wide settings.
Assessment
This skill appears to do what it says: multi‑disciplinary analysis of text. Before using it, avoid giving paths to sensitive system files (password stores, ssh keys, system configs) — instead paste or upload only the content you want analyzed. Be aware that anything you submit will be processed by the agent (and therefore possibly logged by the platform or provider); if your text contains private or regulated data, sanitize or omit it. If you plan commercial use, note the README references an upstream repo and licensing; contact the original author per the README if you need a commercial license or attribution.

Like a lobster shell, security has layers — review code before you run it.

latestvk970pzraf1e96b6wf2y8jb411584fxer
92downloads
0stars
3versions
Updated 2w ago
v1.0.2
MIT-0

多科学透视 Skill

核心理念

就像光线通过棱镜会折射出七彩光谱,一个想法通过多科学透视会折射出多维认知视角:

  • 🌈 随机性启发:像棱镜一样,不可预测地折射出意想不到的视角
  • 🔷 发现未知的未知:看到从未想过的连接和可能性
  • 💎 拓展认知边界:突破单一学科的思维局限
  • 开启头脑风暴:为创意和写作提供多元化的起点
  • 🌐 融合中西方智慧:结合现代学科与中国传统文化视角

适用场景

  • 有一段笔记/灵感/对话记录,想要打破思维定式
  • 需要头脑风暴,寻找创意的多种可能性
  • 想发现"未知的未知",拓展认知边界
  • 准备写深度文章,需要随机性启发和多角度切入点
  • 进行教育内容创作,需要跨学科的惊喜连接

分析维度

多科学透视从以下维度对内容进行折射分析:

  1. 认知心理学 — 抽象思维、元认知、隐喻理解、认知发展规律
  2. 历史哲学 — 时代精神、文明周期、重大历史转折、经典思想实验
  3. 教育学 — 苏格拉丁式提问、深度学习、因材施教、学习动机
  4. 系统思维 — 多维分析、视角转换、反馈循环、涌现效应
  5. 语言学 — 语义网络、话语分析、隐喻结构、表达模式
  6. 中国传统文化 — 古典智慧、儒家/道家/佛家思想、历史典故

输出结构

每次分析输出以下五个模块:

💎 核心洞察(Key Insights)

  • 提取内容中的"金句"或"Aha 时刻"
  • 识别最有力、最值得深挖的核心观点

🌈 认知光谱分析(Cognitive Spectrum)

  • 从 4-6 个维度展开深度分析
  • 每个维度包含:维度名称 → 分析内容 → 理论依据 → 具体启示

🔷 意外连接与故事(Unexpected Connections)

  • 发现与内容相关的历史事件、科学实验、哲学思想实验
  • 连接经典典故(中国+西方)
  • 找出意想不到的关联,激发新思考

✍️ 多维写作光谱(Writing Directions)

  • 提供 3-5 个差异化的写作切入点
  • 每个方向包含:切入角度 → 建议标题方向 → 核心论点方向

💡 深度探索问题(Deep Questions)

  • 3-5 个引发持续思考的问题
  • 帮助用户进一步深挖内容的本质

使用方式

用户可以直接粘贴内容进行分析,或提供文件路径让 AI 读取。

分析格式

📝 **待分析内容**:
[用户粘贴的文字/对话/笔记]

🔮 **多科学透视分析**
[完整分析结果]

参考文档

各维度的详细分析框架和方法论:

维度文档
认知心理学references/cognitive-psychology.md
历史哲学references/history-philosophy.md
教育学references/education.md
系统思维references/systems-thinking.md
中国传统文化references/chinese-wisdom.md
意外连接案例库references/connections.md

设计原则

  1. 跨学科:不局限单一视角,主动连接不同学科
  2. 有深度:不浮于表面,挖掘理论依据
  3. 有惊喜:主动寻找意想不到的连接
  4. 接地气:每个分析都要有可操作的实践建议
  5. 促行动:最终目标是激发用户的下一步思考或行动

来源说明

本 Skill 源自 @木妈(@AI家庭教育实践者)开源的 思维棱镜 项目,遵循原项目许可证(个人使用免费,商业使用请联系作者)。

在原项目基础上,我们做了一些调整:

  • 适配 OpenClaw Skill 格式
  • 调整了部分分析维度和提问框架
  • 扩充了意外连接案例库

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