A professional-grade 4-person standard debate simulation tool where AI roles play 8 distinct debaters followed by expert adjudication.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install debate-4person
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 debate-4person 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 debate-4person?
The debate-4person skill is a sophisticated simulation framework designed to facilitate structured argumentation. By leveraging Openclaw Skills, it orchestrates a full-scale debate between two teams (Affirmative and Negative), with four distinct roles on each side: Proposer/Opposer, Rebutter, Cross-Examiner, and Summary Speaker. The skill transforms a single LLM into an entire debate hall, complete with evidence-based reasoning, logical cross-examination, and a final scoring phase by an AI judge.
This skill is particularly valuable for users looking to practice critical thinking, explore complex topics from multiple perspectives, or prepare for real-world competitive debates. It integrates real-time web search capabilities to ensure that every argument is backed by data and current events, rather than just general knowledge.
debate-4person Use Cases
- Competitive debate practice and training for students and professionals.
- Exploring multiple sides of complex ethical, social, or technical dilemmas.
- Generating high-quality argumentative content for essays or research.
- Simulating formal parliamentary-style debates for entertainment or educational purposes.
How debate-4person Works
- The user triggers the skill by requesting a debate on a specific topic.
- The system confirms the proposition and assigns AI agents to the Affirmative and Negative teams.
- Phase 1 (Opening): Both sides present their core arguments and supporting evidence (200-300 words each).
- Phase 2 (Rebuttal & Cross-Examination): Debaters engage in 1-2 rounds of direct confrontation, questioning the opponent's logic and defending their own positions.
- Phase 3 (Summary): The fourth speakers on each side synthesize the debate, highlight key clashes, and deliver their final appeals.
- Phase 4 (Judging): An AI judge provides a professional critique and a 100-point score based on clarity, evidence, logic, and delivery.
debate-4person Setup
To enable the full potential of this skill, ensure you have a search API key configured in your environment.
# Set your Tavily API Key for real-time evidence gathering
export TAVILY_API_KEY="your_api_key_here"
# Trigger the skill in your AI agent
# "Start a debate on AI ethics"
debate-4person Data Schema & Taxonomy
The debate-4person skill organizes its workflow and evaluation based on a structured scoring and role taxonomy.
| Component | Description |
|---|---|
| Roles | 8 AI Personas (Affirmative 1-4, Negative 1-4) |
| Search Integration | Tavily API (Primary) or Internal Knowledge Base (Fallback) |
| Evaluation Metrics | Clarity (25%), Evidence (30%), Logic (25%), Delivery (20%) |
| Interrupt Hooks | Support for 'Stop Debate' or 'End Debate' commands |
debate-4person Advanced Features
- Multi-persona orchestration: Manages 8 distinct logical flows within a single session.
- Real-time fact-checking: Automatically uses Tavily to find expert opinions and statistics to support arguments.
- Dynamic round adjustment: Automatically scales between 1 or 2 rounds of cross-examination based on topic complexity.
- Expert Adjudicator Mode: A specialized sub-routine that evaluates the debate with zero bias and provides actionable improvement suggestions.
SKILL.md
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