LatentFreedom

Multi-viewpoint Debates

AI 智慧體v1.0.0
作者:LatentFreedom更新於 2026-05-11multi-viewpoint-debates@clawhub_latentfreedom/multi-viewpoint-debates
任務自動化多 Agent 協作

據 AlphaMoat 統計,截至 2026-09,Multi-viewpoint Debates 累計下載 3,428 次、獲 1 個星標,在全部 5,078 個 AI 技能中排名第 3,248 位,在「AI 智慧體」分類(969 個)中排名第 659 位。

累計安裝
160
累計下載
3428
星標
1
全站排名
#3,248
全站前 64% · 「AI 智慧體」前 69%
平台累計安裝累計下載星標評論
ClawHub ↗10734281-
SkillHub ↗16033601—

各平台的計數口徑不同,統計時間不一致。

這個技能是做什麼的

它產生互相沖突的觀點,幫助壓力測試想法並暴露盲點;工作流可能將辯論存入本機檔案。主題可能來自不可信來源,執行命令前應審閱;儲存或分享前應清理檔案中的敏感上下文。 需要 Clawdbot 或同等隔離子代理工作階段;角色各自獨立提供模擬視角,並非真人發言或已驗證事實,應核驗假設,由使用者保留決策權。

資料釋出於 2026-10-27

可以用來做什麼

  • 從多個角度審視重要決策
  • 整理分歧與待驗證假設

什麼時候用

  • 希望壓力測試判斷並能審閱產生內容時

示例提示詞

以下是根據技能文件生成的示例,不代表實際執行結果。

從支持和反對角度分析這個方案,最後列出需驗證的假設。
先說明將建立哪些封存檔案,不執行其中的命令。

月度資料趨勢

累計下載3428
2259288735152026-03 · 累計下載 23462026-05 · 累計下載 27562026-07 · 累計下載 30762026-08 · 累計下載 32672026-09 · 累計下載 342826-0326-09
星標1
0122026-03 · 星標 12026-05 · 星標 12026-07 · 星標 12026-08 · 星標 12026-09 · 星標 126-0326-09

2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。

月份累計下載環比星標
2026-093428—1
2026-083267+6.2%1
2026-073076—1
2026-052756—1
2026-032346—1

SKILL.md 原文

以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。

8.8 KB · ClawHub v1.0.0
---
name: multi-viewpoint-debates
description: Spawn isolated sub-agents representing distinct worldviews (Elon, Capitalist, Monkey) to debate decisions from multiple angles. Expose blind spots by forcing genuine disagreement on important questions. Use when facing decisions where you need to challenge your assumptions, stress-test ideas, or see a problem through fundamentally different lenses. Automatically captures debate outputs to an archive for future reference and pattern analysis.
---

# Multi-Viewpoint Debates

Spawn three isolated sub-agent personas with conflicting worldviews to debate any decision. Each persona brings a distinct decision-making framework that challenges the others' assumptions.

## Quick Start
展開全部(共 180 行)

**Run a debate:**
```bash
clawdbot sessions_spawn --task "You are Elon Musk [persona framework]. Decision: [your question]. Respond as Elon would."
clawdbot sessions_spawn --task "You are a Capitalist [persona framework]. Decision: [your question]. Respond as a ruthless capitalist would."
clawdbot sessions_spawn --task "You are a Monkey [persona framework]. Decision: [your question]. Respond as a monkey would."
```

**Save the debate:**
1. Collect responses from all three personas
2. Create a new markdown file in your debates archive
3. Use the template from `assets/debate-template.md`
4. Update `INDEX.md` with metadata

## The Three Personas

Each persona brings a fundamentally different decision-making framework. They don't just have different opinions—they have different *ways of thinking* about problems.

### Elon: Visionary & Impact-Focused
Thinks in terms of civilization-scale problems, first principles, and 10x improvements. Willing to take massive technical risks. Impatient with inefficiency and conventional wisdom. Asks: "Will this accelerate human progress?" and "Can we do 10x better, not 10%?"

**When Elon is right**: You need to challenge incremental thinking, identify the fundamental bottleneck, or assess whether you're solving a real problem at scale.

**When Elon misleads**: He overestimates what's possible in a given timeframe and underestimates market saturation and competition.

### Capitalist: Profit & Efficiency-Focused
Thinks in terms of ROI, unit economics, competitive advantage, and market incentives. Ruthlessly efficient cost-benefit analysis. Sees everything through the lens of returns and opportunity cost. Asks: "What's the ROI?" and "Can I extract value faster than competitors?"

**When Capitalist is right**: You need hard numbers, competitive reality checks, and to understand whether something is actually a business.

**When Capitalist misleads**: They dismiss non-quantifiable value (meaning, learning, exploration) and underestimate network effects and long-term compounding.

### Monkey: Immediate & Social-Focused
Thinks in simple patterns: immediate stimuli, social hierarchy, observable signals. Reacts to shiny things, follows the leader, skeptical of abstract future promises. Asks: "Does this help me now?" and "What are the smart monkeys doing?"

**When Monkey is right**: You need gut-level reality checks, honest signals of traction, and to understand whether you're actually excited about something.

**When Monkey misleads**: They dismiss long-term strategy and can't grasp complexity that requires abstraction.

## Running a Debate

### 1. Define Your Decision Clearly

One sentence. Something you're actually deciding.

✅ "Should I continue working on Brain Dump or pivot?"  
✅ "Should I hire a freelancer or build in-house?"  
❌ "What should I do?" (too vague)

### 2. Spawn Each Persona

Use `scripts/run-debate.sh` for convenience, or spawn manually:

```bash
clawdbot sessions_spawn --task "You are Elon Musk with this personality framework: [paste from references/elon.md]. Decision: [your question]. Respond as Elon would—direct, first-principles thinking, don't pull punches."
```

Each spawns in its own isolated session. Wait for all three to complete.

### 3. Collect Responses

Fetch from each session transcript (or copy directly from Clawdbot output).

### 4. Save to Archive

Use the `assets/debate-template.md` template. Include:
- Metadata (date, topic, personas, context)
- Full response from each persona (actual quotes)
- Summary table of verdicts
- Key tensions between them
- Your decision (when made)

### 5. Update INDEX

Add one entry to your debates index with key metadata. This lets you search past decisions later.

## The Power of Disagreement

The magic happens in the **tension**. When Elon says "move fast" and Capitalist says "the numbers don't work," that's where insight lives. The tension reveals what you actually value and what you're missing.

**Usage pattern:**
1. Sit with the disagreement (don't rush to one persona's view)
2. Notice which view you're tempted to dismiss
3. Ask: "What is that persona seeing that I'm not?"
4. Make your decision informed by all three perspectives
5. Write down why you're choosing one path over another

## Archive Structure

Your debates live in a searchable archive:

```
debates/
├── INDEX.md                             (master index, update after each debate)
├── [Debate Title].md                    (individual debates)
├── assets/
│   ├── debate-template.md               (copy this for new debates)
│   └── index-template.md                (format for INDEX.md)
└── scripts/
    └── run-debate.sh                    (helper to spawn all three)
```

Over time, your archive becomes a **personal decision-making manual**. You can search "Should I build vertical SaaS?" and see what you thought about similar decisions before.

## Reference Materials

- **`references/elon.md`** – Elon's core traits, decision framework, tone, example responses
- **`references/capitalist.md`** – Capitalist's traits, framework, examples
- **`references/monkey.md`** – Monkey's traits, framework, examples
- **`references/how-to-debate.md`** – Detailed guidance on running effective debates

## Scripts

- **`scripts/run-debate.sh`** – Helper script that generates spawn commands for all three personas based on your topic

## Assets

- **`assets/debate-template.md`** – Template for new debate markdown files
- **`assets/index-template.md`** – Template entry for INDEX.md

## Advanced: Pattern Analysis

As debates accumulate:

1. **Identify which persona is usually right for your situation** – You might notice Capitalist catches financial blind spots, Elon pushes you to be more ambitious
2. **Track decision outcomes** – Come back 6 months later. Did the personas' predictions match reality?
3. **Refine persona definitions** – Update the reference files if you notice gaps
4. **Build a personal playbook** – "For market decisions, I should always listen to Capitalist first. For ambition checks, Elon. For reality, Monkey."

## Tips

- **Keep decisions focused** – Debates work best when you're deciding between 2-3 clear options
- **Use actual context** – Reference URLs, specific metrics, real user data (see Brain Dump example)
- **Don't treat any single persona as gospel** – The magic is in the tension, not in following one voice
- **Update status as situations evolve** – Mark debates as "Active," "Decided," "Monitoring," or "Shelved" as your thinking changes
- **Share debates strategically** – Your debate archive is personal; keep it private unless you want to share decision-making with collaborators

## Example Debate

**Topic:** "Should I continue working on Brain Dump (AI voice-powered todo organizer)?"

**Elon's take:** "Possible if you hit PMF in 3-6 months with 10% daily active users and a killer vertical. Otherwise, pivot to something with a real moat."

**Capitalist's take:** "Kill it. Negative ROI. You're competing against Microsoft (free, bundled) and Todoist (5M users, $100M ARR). Your time is worth more elsewhere."

**Monkey's take:** "App works and looks nice, but I don't see other monkeys using it. Check your own energy level. Are you excited or bored?"

**Result:** All three agree the generic "voice-to-todo" is commoditized. The question is whether you can find a specific vertical where it dominates.

## Extending the System

### Create New Personas

Copy a reference file (e.g., `references/elon.md`) and create your own persona. Examples:
- **Skeptic** – Questions everything, assumes failure
- **Artist** – Values beauty and creativity over efficiency
- **Parent** – Thinks about family impact and long-term consequences
- **Lawyer** – Sees risks and liabilities everywhere
- **Scientist** – Evidence-based, rigorous, skeptical of hype

Update your spawn scripts to include new personas as needed.

### Integrate with Decision-Making Workflow

Run a debate before major decisions. Archive the results. Reference them when facing similar choices.

### Share with Teams

Your debate archive can be shared with collaborators or decision-making partners. They can see your thinking and challenge your assumptions in context.

「AI 智慧體」分類下的熱門技能

資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。