Llm Council

What it does

The llm-council skill enables AI agents to simulate a group of LLMs collaborating on complex tasks, allowing for consensus-based decision-making and improved accuracy through multiple perspectives. It supports structured debate, voting mechanisms, and role assignment among participating models.

When to use it

• To resolve ambiguous or conflicting information by leveraging multiple model viewpoints.
• For high-stakes decisions where a single AI’s judgment may be insufficient.
• In scenarios requiring ethical review or bias mitigation through diverse perspectives.
• When simulating collaborative problem-solving in research, strategy planning, or creative tasks.

Key capabilities

• Multi-model collaboration and debate simulation
• Role-based assignment for LLM participants
• Voting and consensus mechanisms
• Structured discussion frameworks

Example prompts

• "Simulate a council of three AI models to evaluate the ethical implications of this new technology."
• "Have your LLM council debate and vote on the best approach to solving this complex problem."
• "Assign roles (e.g., analyst, ethicist, strategist) to multiple models and have them collaborate on this task."

Tips & gotchas

• Ensure all participating models are compatible with the skill’s interface.
• Be mindful of potential biases in model responses; use diverse model architectures where possible for balanced outcomes.