multi-viewpoint-debates

What This Skill Does

The multi-viewpoint-debates skill is a powerful framework for stress-testing decisions by simulating a conflict-driven dialogue between three distinct personas: Elon, Capitalist, and Monkey. Instead of relying on a single AI perspective, this skill forces you to confront your blind spots by viewing your decisions through the lenses of first-principles engineering (Elon), rigorous fiscal efficiency (Capitalist), and raw, immediate-gratification social signals (Monkey). By capturing these diverse inputs, you create an internal archive of competing arguments that surface contradictions you might otherwise ignore.

Installation

To integrate this skill into your environment, use the OpenClaw command-line interface:

clawhub install openclaw/skills/skills/latentfreedom/multi-viewpoint-debates

Ensure your clawhub configuration is authenticated and that your local assets/ directory contains the required debate-template.md to format your results correctly.

Use Cases

• Strategic Pivots: When considering a radical change in project direction, use the personas to analyze viability vs. necessity.
• Feature Prioritization: Use the Capitalist to cut bloat and the Monkey to identify which features actually create a 'wow' factor.
• Risk Assessment: Use Elon to check for technical bottlenecks and the Capitalist to assess if the long-term ROI is worth the risk of failure.

Example Prompts

1. "Run a debate on this decision: Should we rewrite our entire backend in Rust to improve performance by 20%?"
2. "Debate this business strategy: We want to move to a freemium model without limiting current feature sets. What do Elon, the Capitalist, and the Monkey say?"
3. "Evaluate this hiring plan: Is hiring five junior developers better than hiring one senior architect for our current stage?"

Tips & Limitations

To get the best results, frame your decision as clearly as possible in the initial prompt. The 'Elon' persona thrives on engineering challenges, while the 'Capitalist' needs context about your current runway and revenue goals. The 'Monkey' persona is excellent for identifying 'shiny object' syndrome. Remember that these personas are simulations; they can exhibit biases inherent in the base models. Always review the archive logs critically before making irreversible decisions, as the AI may occasionally hallucinate market data or technical bottlenecks that aren't grounded in your specific reality.