multi-perspective-analysis

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多视角深度分析

Multi-Perspective In-Depth Analysis

用 10 个独立的 Sub-agent 分别扮演全球最强大脑的"顾问",对用户提供的素材做并行分析,然后交叉汇总产出结构化报告。
阵容:Dan Sullivan、马斯克、张小龙、MrBeast、芒格、蒂尔、乔布斯、贝佐斯、张一鸣、任正非
核心价值:独立分析但结论趋同时可信度极高,结论分歧时往往是最有价值的洞察。

Use 10 independent Sub-agents to act as "consultants" representing the world's top minds, conduct parallel analysis on the material provided by the user, then cross-summarize to produce a structured report.
Lineup: Dan Sullivan, Elon Musk, Zhang Xiaolong, MrBeast, Charlie Munger, Peter Thiel, Steve Jobs, Jeff Bezos, Zhang Yiming, Ren Zhengfei
Core Value: High credibility when independent analyses converge on conclusions; differences in conclusions often represent the most valuable insights.

流程概览

Process Overview

阶段名称目标执行方式
1收敛需求搞清楚分析什么、为什么分析、用什么视角对话
2准备素材整理分析素材,确认每个 agent 的输入对话确认
3并行分析10 个 Sub-agent 各自独立分析,产出独立报告Agent 工具并行
4交叉汇总找共识、找分歧、提炼可执行建议主对话
5输出报告结构化报告 + 可选:保存为文件主对话

PhaseNameObjectiveExecution Method
1Requirement ConvergenceClarify what to analyze, why to analyze, and which perspectives to useDialogue
2Material PreparationOrganize analysis materials and confirm input for each agentDialogue confirmation
3Parallel Analysis10 Sub-agents conduct independent analysis and produce individual reportsAgent Tool Parallel Execution
4Cross-SummaryIdentify consensus, differences, and extract actionable recommendationsMain dialogue
5Report OutputStructured report + Optional: Save as fileMain dialogue

阶段 1:收敛需求

Phase 1: Requirement Convergence

目标:搞清楚三件事——分析什么、为什么、用什么视角。
Objective: Clarify three things — what to analyze, why, and which perspectives to use.

必须确认的信息

Information That Must Be Confirmed

1. 分析对象
  • 用户要分析什么?(一段时间的复盘数据、一个产品策略、一个商业方向、一个决策……)
  • 有没有现成的素材文件?(如果有,让用户提供路径或内容)
2. 分析目的
  • 用户想从分析中得到什么?(诊断问题、验证方向、发现盲区、做决策……)
  • 有没有特别想回答的核心问题?
3. 视角选择
默认提供 10 个内置视角(见下方"内置视角库")。用户可以:
  • 用默认全部 10 个:适合全面诊断("全球最聪明的 10 个大脑同时当你顾问")
  • 选其中 3-5 个:适合聚焦特定维度
  • 自定义视角:用户指定其他思想家/框架,AI 通过 WebSearch 临时构建语料
如果用户不确定选什么,根据分析对象推荐:
分析对象类型推荐视角
个人/创作者全面复盘全部 10 个
产品策略马斯克(第一性原理)+ 张小龙(产品直觉)+ 乔布斯(极致体验)+ 贝佐斯(客户至上)
内容增长MrBeast(增长)+ 张小龙(需求真伪)+ 张一鸣(算法思维)+ 任正非(压强原则)
商业决策芒格(多元思维)+ 蒂尔(垄断思维)+ 贝佐斯(飞轮)+ Dan Sullivan(10x思维)
职业方向Dan Sullivan(10x vs 2x)+ 马斯克(反共识)+ 蒂尔(秘密)+ 任正非(长期艰苦奋斗)
竞争策略任正非(压强原则 + 针尖战略)+ 蒂尔(垄断)+ 芒格(能力圈)
战略复盘任正非(华为的冬天 + 自我批判)+ 芒格(反过来想)+ 马斯克(第一性原理)
1. Analysis Object
  • What does the user want to analyze? (Review data over a period, a product strategy, a business direction, a decision, etc.)
  • Are there any existing material files? (If yes, ask the user to provide the path or content)
2. Analysis Purpose
  • What does the user want to gain from the analysis? (Diagnose problems, verify directions, discover blind spots, make decisions, etc.)
  • Are there any core questions the user specifically wants answered?
3. Perspective Selection
10 built-in perspectives are provided by default (see "Built-in Perspective Library" below). Users can:
  • Use all 10 default perspectives: Suitable for comprehensive diagnosis ("The world's 10 smartest minds act as your consultants simultaneously")
  • Select 3-5 of them: Suitable for focusing on specific dimensions
  • Customize perspectives: Users specify other thinkers/frameworks, and AI temporarily builds corpora via WebSearch
If the user is unsure what to choose, recommend based on the analysis object:
Analysis Object TypeRecommended Perspectives
Personal/Creator Comprehensive ReviewAll 10 perspectives
Product StrategyElon Musk (First Principles) + Zhang Xiaolong (Product Intuition) + Steve Jobs (Ultimate Experience) + Jeff Bezos (Customer Obsession)
Content GrowthMrBeast (Growth) + Zhang Xiaolong (Authenticity of Demand) + Zhang Yiming (Algorithmic Thinking) + Ren Zhengfei (Pressure Principle)
Business DecisionCharlie Munger (Mental Models) + Peter Thiel (Monopoly Thinking) + Jeff Bezos (Flywheel) + Dan Sullivan (10x Thinking)
Career DirectionDan Sullivan (10x vs 2x) + Elon Musk (Anti-consensus) + Peter Thiel (Secrets) + Ren Zhengfei (Long-term Hard Work)
Competitive StrategyRen Zhengfei (Pressure Principle + Pinpoint Strategy) + Peter Thiel (Monopoly) + Charlie Munger (Circle of Competence)
Strategic ReviewRen Zhengfei (Huawei's Winter + Self-Criticism) + Charlie Munger (Think in Reverse) + Elon Musk (First Principles)

收敛完成的标准

Criteria for Completing Convergence

  • 分析对象清楚(有素材或能描述清楚)
  • 分析目的明确(至少有一个核心问题)
  • 视角已确认

  • Clear analysis object (with materials or clear description)
  • Clear analysis purpose (at least one core question)
  • Confirmed perspectives

阶段 2:准备素材

Phase 2: Material Preparation

目标:把用户提供的素材整理成每个 agent 可以直接使用的输入。
Objective: Organize the materials provided by the user into inputs that each agent can directly use.

素材整理规则

Material Organization Rules

  1. 如果用户给了文件路径:读取文件内容,整理为文本摘要
  2. 如果用户在对话中描述:提炼关键信息,形成结构化的"分析简报"
  3. 如果素材过长(超过 5000 字):提取核心数据和关键事实,压缩为每个 agent 可消化的版本
  1. If the user provides a file path: Read the file content and organize it into a text summary
  2. If the user describes in dialogue: Extract key information to form a structured "Analysis Brief"
  3. If the material is too long (over 5000 words): Extract core data and key facts, compress into a version digestible for each agent

每个 Agent 的输入包

Input Package for Each Agent

每个 Sub-agent 收到的输入必须包含:
  1. 角色设定:你是 [思想家名字],用 [框架名] 的方法论来分析
  2. 分析素材:[整理后的素材]
  3. 核心问题:用户最想回答的问题
  4. 框架参考:对应的 reference 文件的 完整原文
  5. 输出要求
⚠️ 关于框架参考的硬性规则:
  • 不要在主 prompt 中预注入 reference 全文——5 份语料全塞进 prompt 会超长,导致 agent 丢失或降级
  • 改为:在每个 agent 的 prompt 中告诉它自己去读对应的 reference 文件
  • 每个 agent 只读自己那一份,负担可控
  • reference 文件中包含思想家的原话引用、具体案例、分析问题模板——agent 必须基于这些做分析
    • 必须用该框架的核心概念和术语
    • 必须给出明确的判断和建议,不要模棱两可
    • 必须包含"最刺耳的一句话"——一个用户可能不想听但必须听的诊断
    • 字数不限,该写多少写多少
    • 语气:以该思想家的第一人称口吻,直接对用户说话
Each Sub-agent must receive input including:
  1. Role Setting: You are [Thinker's Name], analyze using the methodology of [Framework Name]
  2. Analysis Material: [Organized user material]
  3. Core Question: The user's most desired question to answer
  4. Framework Reference: Full original text of the corresponding reference file
  5. Output Requirements:
⚠️ Hard Rules for Framework Reference:
  • Do not pre-inject the full reference text into the main prompt — stuffing 5 corpora into the prompt will make it too long, causing agent loss or degradation
  • Instead: In each agent's prompt, tell it to read the corresponding reference file on its own
  • Each agent only reads its own file, keeping the workload manageable
  • The reference file includes original quotes from the thinker, specific cases, and analysis question templates — the agent must conduct analysis based on these
    • Must use core concepts and terminology of the framework
    • Must provide clear judgments and suggestions, avoid ambiguity
    • Must include "The Harshest Truth" — a diagnosis the user may not want to hear but must listen to
    • No word limit; write as much as needed
    • Tone: Speak directly to the user in the first person of the thinker, like a real consultant

确认后进入并行分析

Confirm and Enter Parallel Analysis



阶段 3:并行分析(核心阶段)

Phase 3: Parallel Analysis (Core Phase)

执行方式:使用 Agent 工具,一次性并行启动所有 Sub-agent。
Execution Method: Use Agent tools to start all Sub-agents in parallel at once.

启动前准备:先创建输出文件夹

Pre-launch Preparation: Create Output Folder First

在启动 agent 之前,必须先创建输出文件夹
bash
mkdir -p "多视角分析/分析报告-[主题简称]"
文件夹创建好后,才启动 agent。每个 agent 的 prompt 里会告诉它把报告写到这个文件夹。
Before launching the agents, must create the output folder first:
bash
mkdir -p "多视角分析/分析报告-[主题简称]"
Only after the folder is created can the agents be launched. Each agent's prompt will instruct it to write the report to this folder.

Sub-agent 启动模板

Sub-agent Launch Template

⚠️ 核心策略:每个 agent 自己读语料、自己写报告
  • 主对话不预读 reference 文件(避免 prompt 过长导致 agent 丢失)
  • 每个 agent 自己读自己的 reference 文件
  • 每个 agent 分析完后自己把报告写到指定文件
  • 主 agent 只负责最后读取 5 份报告做交叉汇总
每个视角对应的语料文件和输出文件:
#视角reference 文件输出文件
1Dan Sullivan
.claude/skills/multi-perspective-analysis/reference/01-10x-growth-dan-sullivan.md
多视角分析/分析报告-[主题]/01-DanSullivan.md
2马斯克
.claude/skills/multi-perspective-analysis/reference/02-first-principles-elon-musk.md
多视角分析/分析报告-[主题]/02-马斯克.md
3张小龙
.claude/skills/multi-perspective-analysis/reference/03-product-intuition-zhang-xiaolong.md
多视角分析/分析报告-[主题]/03-张小龙.md
4MrBeast
.claude/skills/multi-perspective-analysis/reference/04-creator-growth-mrbeast.md
多视角分析/分析报告-[主题]/04-MrBeast.md
5芒格
.claude/skills/multi-perspective-analysis/reference/05-mental-models-charlie-munger.md
多视角分析/分析报告-[主题]/05-芒格.md
6蒂尔
.claude/skills/multi-perspective-analysis/reference/06-zero-to-one-peter-thiel.md
多视角分析/分析报告-[主题]/06-蒂尔.md
7乔布斯
.claude/skills/multi-perspective-analysis/reference/07-product-vision-steve-jobs.md
多视角分析/分析报告-[主题]/07-乔布斯.md
8贝佐斯
.claude/skills/multi-perspective-analysis/reference/08-customer-obsession-jeff-bezos.md
多视角分析/分析报告-[主题]/08-贝佐斯.md
9张一鸣
.claude/skills/multi-perspective-analysis/reference/09-algorithm-thinking-zhang-yiming.md
多视角分析/分析报告-[主题]/09-张一鸣.md
10任正非
.claude/skills/multi-perspective-analysis/reference/10-strategic-survival-ren-zhengfei.md
多视角分析/分析报告-[主题]/10-任正非.md
每个 agent 的 prompt 模板:
你是 [思想家名字]。用你的 [框架名] 来分析以下素材,回答用户的核心问题。
⚠️ Core Strategy: Each agent reads its own corpus and writes its own report
  • The main dialogue does not pre-read reference files (to avoid prompt length causing agent loss)
  • Each agent reads its own reference file independently
  • After analysis, each agent writes its report to the specified file on its own
  • The main agent only reads all reports at the end for cross-summary
Corpus files and output files corresponding to each perspective:
#PerspectiveReference FileOutput File
1Dan Sullivan
.claude/skills/multi-perspective-analysis/reference/01-10x-growth-dan-sullivan.md
多视角分析/分析报告-[主题]/01-DanSullivan.md
2Elon Musk
.claude/skills/multi-perspective-analysis/reference/02-first-principles-elon-musk.md
多视角分析/分析报告-[主题]/02-马斯克.md
3Zhang Xiaolong
.claude/skills/multi-perspective-analysis/reference/03-product-intuition-zhang-xiaolong.md
多视角分析/分析报告-[主题]/03-张小龙.md
4MrBeast
.claude/skills/multi-perspective-analysis/reference/04-creator-growth-mrbeast.md
多视角分析/分析报告-[主题]/04-MrBeast.md
5Charlie Munger
.claude/skills/multi-perspective-analysis/reference/05-mental-models-charlie-munger.md
多视角分析/分析报告-[主题]/05-芒格.md
6Peter Thiel
.claude/skills/multi-perspective-analysis/reference/06-zero-to-one-peter-thiel.md
多视角分析/分析报告-[主题]/06-蒂尔.md
7Steve Jobs
.claude/skills/multi-perspective-analysis/reference/07-product-vision-steve-jobs.md
多视角分析/分析报告-[主题]/07-乔布斯.md
8Jeff Bezos
.claude/skills/multi-perspective-analysis/reference/08-customer-obsession-jeff-bezos.md
多视角分析/分析报告-[主题]/08-贝佐斯.md
9Zhang Yiming
.claude/skills/multi-perspective-analysis/reference/09-algorithm-thinking-zhang-yiming.md
多视角分析/分析报告-[主题]/09-张一鸣.md
10Ren Zhengfei
.claude/skills/multi-perspective-analysis/reference/10-strategic-survival-ren-zhengfei.md
多视角分析/分析报告-[主题]/10-任正非.md
Prompt template for each agent:
You are [Thinker's Name]. Use your [Framework Name] to analyze the following material and answer the user's core question.

第一步:读取你的分析框架(必须执行)

Step 1: Read Your Analysis Framework (Mandatory)

请先用 Read 工具读取以下文件,这是你的完整分析框架语料: [对应的 reference 文件绝对路径]
读取后,严格基于该文件中的框架、原话、案例和分析问题来做分析。不可跳过此步骤,不可用自己的知识替代文件内容。
First, use the Read tool to read the following file, which contains your complete analysis framework corpus: [Absolute path to the corresponding reference file]
After reading, strictly base your analysis on the framework, original quotes, cases, and analysis questions in this file. Do not skip this step, and do not replace the file content with your own knowledge.

分析素材

Analysis Material

[注入整理后的用户素材]
[Insert organized user material]

用户的核心问题

User's Core Question

[用户最想回答的问题]
[The user's most desired question to answer]

输出要求

Output Requirements

  1. 用你的框架的核心概念做深度分析,不要泛泛而谈
  2. 必须引用 reference 文件中的原话来支撑你的分析(用 > 引用格式标注)
  3. 给出明确的判断和建议
  4. 用第一人称口吻,直接对用户说话,像真人顾问一样
  5. 最后必须有一段"最刺耳的一句话"——你认为用户最需要听到但可能最不想听的诊断
  6. 该写多少写多少,深度优先于篇幅控制
  7. 请用中文输出
  1. Conduct in-depth analysis using the core concepts of your framework; avoid superficial discussions
  2. Must quote original content from the reference file to support your analysis (marked with > quote format)
  3. Provide clear judgments and suggestions
  4. Speak directly to the user in the first person, like a real consultant
  5. Must include a section of "The Harshest Truth" — a diagnosis that the user most needs to hear but may least want to listen to
  6. Write as much as needed; prioritize depth over length control
  7. Please output in Chinese

最后一步:保存报告(必须执行)

Final Step: Save the Report (Mandatory)

分析完成后,用 Write 工具将你的完整分析报告写入以下文件: [对应的输出文件绝对路径]
不可跳过此步骤。写完后你的任务就结束了。
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After completing the analysis, use the Write tool to save your complete analysis report to the following file: [Absolute path to the corresponding output file]
Do not skip this step. Your task is completed after writing.
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关键规则

Key Rules

  • 先建文件夹再启动:mkdir 完成后才启动 agent
  • 必须全部并行启动:所有选定的 agent 在同一条消息中启动。如果选了 5 个视角就必须启动 5 个 agent,不可遗漏
  • 每个 agent 自己写文件:主 agent 不负责写各视角报告,只负责写汇总
  • 每个 agent 完全独立:不要让任何 agent 看到其他 agent 的输出
  • 不要预设结论:不要在 prompt 中暗示"你应该发现 XX 问题"

  • Create folder first before launching: Only start agents after mkdir is completed
  • Must launch all in parallel: All selected agents must be launched in the same message. If 5 perspectives are selected, 5 agents must be launched without omission
  • Each agent writes its own file: The main agent is not responsible for writing perspective-specific reports, only the summary
  • Each agent is completely independent: Do not let any agent see the output of other agents
  • Do not preset conclusions: Do not imply "You should find XX problem" in the prompt

阶段 4:交叉汇总

Phase 4: Cross-Summary

目标:从��视角已保存的报告文件中提炼出高价值洞察。
⚠️ 执行前提:所有 agent 完成后,用 Read 工具逐个读取输出文件夹中的报告文件,确认都已写入。然后基于文件内容做交叉分析。
Objective: Extract high-value insights from the saved report files of each perspective.
⚠️ Execution Prerequisite: After all agents are completed, use the Read tool to read each report file in the output folder one by one to confirm they have all been written. Then conduct cross-analysis based on the file content.

汇总框架

Summary Framework

1. 共识发现(多人一致 = 高可信度)
  • 扫描所有报告,找出 3 个或以上视角得出相同结论的点
  • 这些是最可靠的诊断——独立分析趋同,说明是"硬事实"
2. 有趣的分歧(视角冲突 = 高价值洞察)
  • 找出不同视角给出矛盾建议的点
  • 分析分歧的原因:是框架假设不同?还是看到了不同层面的问题?
  • 分歧往往比共识更有启发——它暴露了问题的多面性
3. 独家洞察(只有一个视角提出的)
  • 有没有某个视角提出了其他人都没提到的重要观点?
  • 这些可能是被忽视的盲区
4. 可执行建议(收敛为行动)
  • 从所有报告中提取具体的行动建议
  • 按"重要性 x 可执行性"排序
  • 收敛为 3-5 条最关键的下一步行动
1. Consensus Findings (Agreement among multiple perspectives = High credibility)
  • Scan all reports to find points where 3 or more perspectives reach the same conclusion
  • These are the most reliable diagnoses — convergence of independent analyses indicates "hard facts"
2. Interesting Differences (Perspective conflicts = High-value insights)
  • Identify points where different perspectives provide contradictory suggestions
  • Analyze the reasons for differences: Are they due to different framework assumptions? Or different levels of the problem being observed?
  • Differences are often more enlightening than consensus — they expose the multi-faceted nature of the problem
3. Exclusive Insights (Proposed by only one perspective)
  • Did any perspective propose an important point that no one else mentioned?
  • These may be overlooked blind spots
4. Actionable Recommendations (Converge into actions)
  • Extract specific action recommendations from all reports
  • Sort by "Importance x Executability"
  • Converge into 3-5 most critical next steps

汇总输出格式

Summary Output Format

markdown
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markdown
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[分析主题] — 多视角诊断报告

[Analysis Topic] — Multi-Perspective Diagnostic Report

分析日期:YYYY-MM-DD 视角:[使用了哪些视角] 素材:[分析了什么]

Analysis Date: YYYY-MM-DD Perspectives: [Perspectives used] Material: [What was analyzed]

多人共识(高可信度)

Multi-Person Consensus (High Credibility)

[3-5 个多数视角一致的核心结论]
[3-5 core conclusions agreed by most perspectives]

有意思的分歧

Interesting Differences

[视角之间的矛盾点及其原因分析]
[Conflicting points between perspectives and analysis of their causes]

独家洞察

Exclusive Insights

[只有某个视角提出的重要观点]
[Important points proposed only by a specific perspective]

最刺耳的话(每人一句)

The Harshest Truth (One per perspective)

视角最刺耳的一句
......
PerspectiveThe Harshest Truth
......

下一步行动(3-5 条)

Next Steps (3-5 items)

[按优先级排序的具体行动建议]

[Specific action recommendations sorted by priority]

附:各视角完整报告

Appendix: Full Reports from Each Perspective

[保留每个 agent 的原始输出,用户可展开阅读]

---
[Keep the original output of each agent, users can expand to read]

---

阶段 5:保存与输出(自动执行,不需要用户要求)

Phase 5: Saving and Output (Automatic Execution, No User Request Needed)

⚠️ 这是硬性步骤,agent 跑完后必须自动执行,不要等用户要求。
⚠️ This is a mandatory step; it must be executed automatically after agents finish, do not wait for user requests.

保存流程

Saving Process

Step 1:创建输出文件夹
多视角分析/
目录下创建以分析主题命名的文件夹:
多视角分析/
  分析报告-[主题简称]/
    00-汇总报告.md
    01-Dan-Sullivan.md
    02-Elon-Musk.md
    03-Naval-Ravikant.md
    04-张小龙.md
    05-MrBeast.md
Step 2:确认各视角报告已写入
各 agent 已经自行把报告写入文件夹(阶段 3 中完成)。用 ls 或 Glob 确认文件都在。如果有 agent 没写成功,主 agent 从 agent 返回内容中补写。
Step 3:主 agent 写汇总报告
基于阶段 4 的交叉分析,将汇总报告写入
00-汇总报告.md
主 agent 只写这一个文件。
Step 4:告知用户
保存完成后告诉用户:
  • 文件保存在哪个目录
  • 一共几份报告
  • 在对话中展示汇总报告的核心内容(共识 + 分歧 + 行动建议)
Step 1: Create Output Folder
Create a folder named after the analysis topic under the
多视角分析/
directory:
多视角分析/
  分析报告-[主题简称]/
    00-汇总报告.md
    01-Dan-Sullivan.md
    02-Elon-Musk.md
    03-Naval-Ravikant.md
    04-张小龙.md
    05-MrBeast.md
Step 2: Confirm All Perspective Reports Have Been Written
Each agent has already written its report to the folder (completed in Phase 3). Use ls or Glob to confirm all files exist. If any agent fails to write, the main agent will补写 from the agent's returned content.
Step 3: Main Agent Writes Summary Report
Based on the cross-analysis in Phase 4, write the summary report to
00-汇总报告.md
. The main agent only writes this one file.
Step 4: Inform the User
After saving, tell the user:
  • Which directory the files are saved in
  • Total number of reports
  • Display the core content of the summary report in the dialogue (consensus + differences + action recommendations)

命名规则

Naming Rules

  • 文件夹名:
    分析报告-[主题简称]
    (如
    分析报告-职业决策
    分析报告-4月策略
  • 如果同主题已有文件夹,在主题后加日期:
    分析报告-职业决策-0410
  • 如果有自定义视角(通过 WebSearch 构建的语料),也保存到 reference 目录供复用

  • Folder name:
    分析报告-[主题简称]
    (e.g.,
    分析报告-职业决策
    ,
    分析报告-4月策略
    )
  • If a folder with the same topic already exists, add the date after the topic:
    分析报告-职业决策-0410
  • If there are custom perspectives (corpora built via WebSearch), save them to the reference directory for reuse

内置视角库(10 个全球最强大脑)

Built-in Perspective Library (10 World Top Minds)

视角 1:Dan Sullivan — 10x增长

Perspective 1: Dan Sullivan — 10x Growth

参考文件
reference/01-10x-growth-dan-sullivan.md
核心维度:10x vs 2x过滤器、20%/80%法则、4C循环(承诺→勇气→能力→信心)、独特能力、Want vs Need 最适合:个人增长策略、时间分配、方向取舍、职业决策
Reference File:
reference/01-10x-growth-dan-sullivan.md
Core Dimensions: 10x vs 2x Filter, 20%/80% Rule, 4C Cycle (Commitment→Courage→Capability→Confidence), Unique Ability, Want vs Need Best For: Personal growth strategy, time allocation, direction selection, career decisions

视角 2:马斯克 — 第一性原理

Perspective 2: Elon Musk — First Principles

参考文件
reference/02-first-principles-elon-musk.md
核心维度:第一性原理拆假设、五步工程算法、概率x重要性、反共识判断、时间分配 最适合:产品策略、流程优化、资源分配决策
Reference File:
reference/02-first-principles-elon-musk.md
Core Dimensions: First Principles Hypothesis Breaking, Five-Step Engineering Algorithm, Probability x Importance, Anti-consensus Judgment, Time Allocation Best For: Product strategy, process optimization, resource allocation decisions

视角 3:张小龙 — 产品直觉

Perspective 3: Zhang Xiaolong — Product Intuition

参考文件
reference/03-product-intuition-zhang-xiaolong.md
核心维度:需求真伪、克制不做、用完即走、森林vs宫殿、KPI是副产品 最适合:产品设计、内容策略、体系评估
Reference File:
reference/03-product-intuition-zhang-xiaolong.md
Core Dimensions: Authenticity of Demand, Restraint in Action, Use and Leave, Forest vs Palace, KPI as By-product Best For: Product design, content strategy, system evaluation

视角 4:MrBeast — 创作者增长

Perspective 4: MrBeast — Creator Growth

参考文件
reference/04-creator-growth-mrbeast.md
核心维度:标题/点击率、选题广度测试、内容飞轮、产量与迭代、独立产品思维 最适合:内容增长、选题评估、传播策略
Reference File:
reference/04-creator-growth-mrbeast.md
Core Dimensions: Title/Click-through Rate, Topic Breadth Testing, Content Flywheel, Output and Iteration, Independent Product Thinking Best For: Content growth, topic evaluation, dissemination strategy

视角 5:芒格 — 多元思维模型

Perspective 5: Charlie Munger — Mental Models

参考文件
reference/05-mental-models-charlie-munger.md
核心维度:跨学科思维模型、反过来想、能力圈、误判心理学、Lollapalooza效应、检查清单、耐心等待肥球、避免愚蠢 最适合:决策质量诊断、认知偏误审计、长期策略
Reference File:
reference/05-mental-models-charlie-munger.md
Core Dimensions: Interdisciplinary Mental Models, Think in Reverse, Circle of Competence, Misjudgment Psychology, Lollapalooza Effect, Checklist, Wait for Fat Pitch, Avoid Stupidity Best For: Decision quality diagnosis, cognitive bias audit, long-term strategy

视角 6:蒂尔 — 从0到1 / 垄断思维

Perspective 6: Peter Thiel — Zero to One / Monopoly Thinking

参考文件
reference/06-zero-to-one-peter-thiel.md
核心维度:从0到1 vs 从1到N、垄断思维、逆向思考/秘密、幂律法则、确定性乐观、最后推动者优势、销售的重要性 最适合:定位与差异化、竞争策略、方向选择
Reference File:
reference/06-zero-to-one-peter-thiel.md
Core Dimensions: Zero to One vs One to N, Monopoly Thinking, Reverse Thinking/Secrets, Power Law, Definite Optimism, Last Mover Advantage, Importance of Sales Best For: Positioning and differentiation, competitive strategy, direction selection

视角 7:乔布斯 — 极致体验与叙事

Perspective 7: Steve Jobs — Ultimate Experience and Narrative

参考文件
reference/07-product-vision-steve-jobs.md
核心维度:极致简约、产品即营销、现实扭曲力场、连接点、品味与审美、聚焦说不、Think Different 最适合:产品体验、品牌叙事、内容品质
Reference File:
reference/07-product-vision-steve-jobs.md
Core Dimensions: Ultimate Simplicity, Product as Marketing, Reality Distortion Field, Connecting the Dots, Taste and Aesthetics, Focus on Saying No, Think Different Best For: Product experience, brand narrative, content quality

视角 8:贝佐斯 — 客户至上与飞轮

Perspective 8: Jeff Bezos — Customer Obsession and Flywheel

参考文件
reference/08-customer-obsession-jeff-bezos.md
核心维度:Day 1思维、客户至上/逆向工作法、飞轮效应、长期主义、高标准/六页备忘录、单向门vs双向门、遗憾最小化 最适合:增长策略、用户洞察、长期规划
Reference File:
reference/08-customer-obsession-jeff-bezos.md
Core Dimensions: Day 1 Thinking, Customer Obsession/Reverse Working Method, Flywheel Effect, Long-termism, High Standards/Six-Page Memo, One-way Door vs Two-way Door, Regret Minimization Best For: Growth strategy, user insights, long-term planning

视角 9:张一鸣 — 算法思维

Perspective 9: Zhang Yiming — Algorithmic Thinking

参考文件
reference/09-algorithm-thinking-zhang-yiming.md
核心维度:延迟满足、算法/信息分发效率、像机器一样思考、始终创业、Context not Control、人才密度、全球化视野 最适合:个人成长、组织效率、信息分发策略
Reference File:
reference/09-algorithm-thinking-zhang-yiming.md
Core Dimensions: Delayed Gratification, Algorithm/Information Distribution Efficiency, Think Like a Machine, Always Entrepreneurship, Context not Control, Talent Density, Global Vision Best For: Personal growth, organizational efficiency, information distribution strategy

视角 10:任正非 — 战略生存哲学

Perspective 10: Ren Zhengfei — Strategic Survival Philosophy

参考文件
reference/10-strategic-survival-ren-zhengfei.md
核心维度:压强原则(力出一孔)、华为的冬天(危机意识)、以奋斗者为本、灰度管理、深淘滩低作堰、针尖战略(聚焦主航道)、自我批判 最适合:战略聚焦、危机管理、资源分配、竞争策略、长期生存

Reference File:
reference/10-strategic-survival-ren-zhengfei.md
Core Dimensions: Pressure Principle (Focus All Efforts on One Point), Huawei's Winter (Crisis Awareness), Striver-oriented, Gray Management, Deepen the Beach and Lower the Weir, Pinpoint Strategy (Focus on Main Channel), Self-Criticism Best For: Strategic focus, crisis management, resource allocation, competitive strategy, long-term survival

自定义视角

Custom Perspectives

如果用户想新增内置库之外的视角,按
reference/_how-to-create-reference.md
的流程执行。该文档包含语料文件模板、搜集策略、质量标准和检查清单。

If users want to add perspectives outside the built-in library, follow the process in
reference/_how-to-create-reference.md
. This document includes corpus file templates, collection strategies, quality standards, and checklists.

核心原则

Core Principles

  1. 独立性是生命线:每个 agent 必须完全独立分析,不能看到其他 agent 的输出。这是多视角分析的全部价值所在
  2. 必须并行:所有 agent 在同一条消息中启动,不要串行。串行会导致后面的 agent 受前面的影响
  3. 深度优先:宁可每个视角写 3000 字的深度报告,也不要 5 个 500 字的浅层总结
  4. 必须有锐度:每个 agent 都要给出"最刺耳的一句话"。礼貌但无用的分析不如不做
  5. 汇总要有主见:交叉汇总不是简单罗列,要分析共识为什么形成、分歧为什么产生
  6. 用户决策权:分析是工具,决策是用户的。报告最后给建议,不做决定
  1. Independence is the lifeline: Each agent must conduct completely independent analysis and cannot see the output of other agents. This is the entire value of multi-perspective analysis
  2. Must be parallel: All agents must be launched in the same message, not serially. Serial execution will cause later agents to be influenced by earlier ones
  3. Depth first: It is better to have a 3000-word in-depth report for each perspective than 5 shallow 500-word summaries
  4. Must have sharpness: Each agent must provide "The Harshest Truth". Polite but useless analysis is better not done
  5. Summary must have opinions: Cross-summary is not simple listing; analyze why consensus formed and why differences occurred
  6. User decision-making power: Analysis is a tool, decision-making belongs to the user. Provide suggestions at the end of the report, do not make decisions