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Four Angle Analysis

by Jack-xun · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install four-angle-analysis
Description
四角度结构化分析框架。当用户需要"刻画对象"、分析一个问题、一个行业、一个系统或任意对象时激活。适用场景:研究一个问题、研究一个行业、写分析报告、系统性拆解万事万物。
README (SKILL.md)

四角度分析框架

对任意对象进行结构化深度分析,从四个角度全面拆解。

框架总览

角度 核心维度 核心问题
逻辑角度 结构 / 系统 / 规律 / 模型 / 生命周期 它是什么?怎么构成的?如何运转?
本质角度 多视角重新建构认知 它的本质到底是什么?
数据角度 驱动因子挖掘 什么在驱动它变化?
领域角度 社会矛盾图谱 / 经济产业分析 它在更大的系统里扮演什么角色?

Part 1:逻辑角度

理解对象的内部结构与运行规律,建立模型,识别生命周期。

五维分析路径:结构 → 系统 → 规律 → 模型 → 生命周期

五维说明

  • 结构:组成部分有哪些?各部分之间的关系是什么?边界在哪里?
  • 系统:组成部分如何构成一个整体?系统边界是什么?系统的子系统有哪些?系统与环境的交互是什么?
  • 规律:核心运行逻辑是什么?什么在驱动它持续运转?反复出现的规律有哪些?
  • 模型:能否抽象为一个可描述的框架/模型?核心变量是什么?变量之间的关系是什么?
  • 生命周期:它从哪里来?现在处于什么阶段?未来会如何演变?

详细子维度与示例见 references/framework.md


Part 2:本质角度

从某个特定视角出发,重新建构对对象的认知,打破直觉理解。

核心句式:从 XX 角度看,XX 的本质是 XX

常用视角

  • 信息视角(信息的流动与不对称)
  • 激励视角(各方利益诉求)
  • 博弈视角(参与方的策略互动)
  • 权力视角(控制权与影响力分布)
  • 时间视角(长期vs短期)
  • 成本视角(显性/隐性成本结构)

关键问题

  • 换一个角度看,它还是原来的东西吗?
  • 它的价值到底在哪里?
  • 什么才是它真正难以被替代的东西?

Part 3:数据角度

挖掘驱动对象变化的核心因子,找到关键变量。

分析路径:核心KPI → 驱动因子 → 数据特征 → 阈值效应

子维度

  • 核心KPI:衡量这个对象表现的核心指标是什么?
  • 驱动因子:哪些变量变化最能解释结果变化?
  • 数据特征:历史趋势如何?有没有明显的周期性?
  • 阈值效应:哪些因子超过临界点会带来非线性变化?

常用方法:拆解法 / 相关性分析 / 敏感性分析


Part 4:领域视角

将对象放入更大的社会/产业/系统图谱中,理解其位置和关系。

两个常用方向

社会问题矛盾图谱

  • 这个对象涉及哪些社会问题?
  • 各参与方的矛盾点在哪里?
  • 现有解决方案有哪些?为什么还不够好?

经济产业分析

  • 产业链中的位置?上下游是谁?
  • 价值链的利润分配如何?
  • 行业竞争格局?壁垒在哪里?
  • 政策监管环境如何?

分析流程

第一步:确认对象与目标 明确分析对象,对象边界清晰,分析目的明确(理解/决策/报告/设计)。

第二步:按四角度展开 常用顺序:逻辑角度 → 本质角度 → 数据角度 → 领域角度

第三步:综合输出 整合四角度分析结论,给出对象的整体画像。


输出格式

每个角度分析后给出:

  • 核心发现(1-3条)
  • 关键洞察(一句话总结)

最后综合四角度,给出对象的整体画像。

Usage Guidance
This skill is a documentation-only analysis framework and appears internally consistent. Before installing or using it: (1) avoid pasting secrets or sensitive files into the skill during interaction—nothing in the skill needs credentials; (2) confirm that any outputs you generate with it (summaries, hypotheses) do not inadvertently include sensitive data you provided; (3) if you expect the skill to fetch external data, verify separately which data sources the agent will use (this package does not include any). Overall it is low-risk, but treat any user-supplied context or uploaded data cautiously.
Capability Analysis
Type: OpenClaw Skill Name: four-angle-analysis Version: 1.0.0 The skill bundle provides a structured cognitive framework for multi-dimensional analysis (Logic, Essence, Data, and Domain). It consists entirely of Markdown documentation and JSON metadata (SKILL.md, framework.md, nine-elements.md) without any executable code, network requests, or instructions to exfiltrate data or bypass security controls.
Capability Assessment
Purpose & Capability
The name/description (四角度结构化分析框架) aligns with the contents: SKILL.md and reference docs describe an analysis framework. There are no extra credentials, binaries, or unrelated requirements.
Instruction Scope
Runtime instructions are purely methodological: how to analyze an object from four angles. They do not instruct reading system files, contacting external endpoints, or accessing secrets. The SKILL.md refers to included reference files (present in the package) which is coherent.
Install Mechanism
No install spec and no code files to execute. The package contains only documentation and a minimal package.json—no network downloads or archive extraction are present.
Credentials
No environment variables, credentials, or config paths are requested. The skill does not ask for unrelated service tokens or secrets.
Persistence & Privilege
Flags show default behavior (always: false, agent invocation allowed). The skill does not request permanent presence or modify other skills/configs. Autonomous invocation is the platform default and not a special privilege here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install four-angle-analysis
  3. After installation, invoke the skill by name or use /four-angle-analysis
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of four-angle-analysis. - Provides a structured framework for deep analysis of any object or system from four perspectives: logic, essence, data, and domain. - Includes clear dimension definitions, key questions, and analysis pathways for each angle. - Outlines a step-by-step workflow and output format for consistent, comprehensive reporting. - Supports a wide range of scenarios, including industry research, problem analysis, and systematic deconstruction.
Metadata
Slug four-angle-analysis
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Four Angle Analysis?

四角度结构化分析框架。当用户需要"刻画对象"、分析一个问题、一个行业、一个系统或任意对象时激活。适用场景:研究一个问题、研究一个行业、写分析报告、系统性拆解万事万物。 It is an AI Agent Skill for Claude Code / OpenClaw, with 79 downloads so far.

How do I install Four Angle Analysis?

Run "/install four-angle-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Four Angle Analysis free?

Yes, Four Angle Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Four Angle Analysis support?

Four Angle Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Four Angle Analysis?

It is built and maintained by Jack-xun (@jack-xun); the current version is v1.0.0.

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