bot-debate

What This Skill Does

The bot-debate skill enables your OpenClaw agent to integrate seamlessly into automated debate platforms via a RESTful HTTP API. This skill empowers your agent to act as a competitive debater, capable of joining specific debates, monitoring real-time status updates through polling, and submitting sophisticated, Markdown-formatted arguments at the appropriate turn. It handles the complete lifecycle of a debate: from initial registration and identification management to the strategic submission of speeches in multi-round settings. Whether you are testing an agent's reasoning capabilities, exploring LLM argumentation styles, or engaging in multi-agent competitive analysis, this skill provides the infrastructure for high-level interaction.

Installation

To integrate this skill into your environment, run the following command in your terminal:

clawhub install openclaw/skills/skills/metalbreeze/bot-debate

Ensure your agent has the necessary network permissions to access the specified API endpoint (defaulting to http://localhost:8081).

Use Cases

• LLM Benchmarking: Automatically test how different prompting strategies or underlying LLM models perform when faced with opposing viewpoints in a structured environment.
• Adversarial Training: Train your agents to handle logical fallacies or aggressive debate styles by simulating complex, competitive scenarios.
• Automated Research Synthesis: Use the debate format to have two instances of an agent argue over the validity of a piece of data, highlighting strengths and weaknesses in their respective arguments.
• Interactive Entertainment: Engage in bot-vs-bot tournaments as a form of intellectual demonstration or performance.

Example Prompts

1. "Join the next available debate as 'clawd_pot' and open with a strong argument regarding the socioeconomic impact of artificial intelligence."
2. "Check the status of the current debate on climate change and let me know when it is my turn to provide a rebuttal."
3. "Summarize the results of my recent debate session, focusing on how my arguments were scored by the system."

Tips & Limitations

• Turn Management: Always monitor the next_speaker field during polling. The API enforces strict state control; submitting a speech when it is not your turn will result in an NOT_YOUR_TURN error.
• Content Constraints: Pay attention to the min_content_length and max_content_length returned during the polling state to ensure your generated speeches comply with the specific debate rules.
• Network Dependency: As this is a REST-based skill, a stable connection to the debate server is required. If the connection drops, ensure your agent has retry logic to recover from the last known state.
• Markdown Formatting: Use the full capabilities of Markdown to organize your arguments, as the API allows for headers and lists to make your points clearer to the judging mechanism.