An AI-driven framework for stress-testing decisions by spawning conflicting agent personas to expose blind spots through debate.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install multi-viewpoint-debates
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install multi-viewpoint-debates using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Multi-Viewpoint Debates?
Multi-Viewpoint Debates is a sophisticated decision-support tool designed for high-stakes scenarios where incremental thinking isn't enough. By leveraging Openclaw Skills, this system orchestrates a trio of isolated AI sub-agents modeled after distinct worldviews: a visionary First-Principles thinker (Elon), a profit-driven Strategist (Capitalist), and a stimulus-responsive Realist (Monkey). This multi-agent approach forces a dialectic process that surfaces hidden risks and identifies the core tensions inherent in any complex choice.
Rather than seeking a simple consensus, this skill focuses on the power of disagreement. It transforms the AI from a mere assistant into a rigorous sparring partner. By forcing these different frameworks to interact with your specific data and questions, you gain a 360-degree view of your strategy, ensuring that your final decision is informed by visionary impact, economic efficiency, and gut-level reality checks.
Multi-Viewpoint Debates Use Cases
- Evaluating whether to pivot a core product or continue current development cycles.
- Stress-testing hiring decisions by weighing long-term vision against immediate ROI.
- Analyzing market entry strategies to identify potential competitive blind spots.
- Breaking through internal indecision by viewing a problem through radically different cognitive lenses.
- Building a long-term archive of decision-making logic to improve strategic outcomes over time.
How Multi-Viewpoint Debates Works
- Define the decision or question clearly in a single, actionable sentence.
- Trigger the Openclaw Skills workflow to spawn three isolated sub-agent sessions, each loaded with a specific persona framework.
- Allow the agents to generate independent responses based on their assigned worldview (Visionary, Capitalist, or Social-Focused).
- Collect and synthesize the responses into a structured markdown debate archive using provided templates.
- Analyze the tensions between the conflicting viewpoints to reach a more robust, informed conclusion.
Multi-Viewpoint Debates Setup
To initialize the debate system, you must have the framework files prepared in your local directory. Use the following commands to spawn sessions for your decision:
# Manual spawn for a specific persona
clawdbot sessions_spawn --task "You are Elon Musk [persona framework]. Decision: [your question]. Respond as Elon would."
# Using the helper script to run the full debate
./scripts/run-debate.sh "Your specific decision question here"
Ensure that your references/ folder contains the specific markdown files for the Elon, Capitalist, and Monkey personas to provide the necessary cognitive constraints.
Multi-Viewpoint Debates Data Schema & Taxonomy
The skill organizes its output into a searchable archive to facilitate long-term pattern analysis.
| File/Folder | Purpose |
|---|---|
INDEX.md |
Master index tracking all debates, metadata, and final outcomes. |
[Debate-Title].md |
Individual records containing persona quotes, verdicts, and decision logic. |
assets/ |
Contains debate-template.md and index-template.md for standardized logging. |
references/ |
Stores the persona frameworks that define the logic and tone for each sub-agent. |
scripts/ |
Contains the run-debate.sh utility for automated multi-agent orchestration. |
Multi-Viewpoint Debates Advanced Features
- Isolated sub-agent spawning prevents cross-session bias and ensures genuine persona integrity.
- Custom persona expansion allows you to integrate new worldviews like the Skeptic, Lawyer, or Artist into the debate.
- Pattern analysis support enables users to track which personas are historically most accurate for specific types of decisions.
- Automated markdown archiving creates a personal decision-making manual that evolves with your business or project.
- Strategic sharing capabilities allow you to present the 'tension' of a decision to stakeholders for better alignment.
SKILL.md
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