collective-decision-framework

This skill provides neutral arbitration to resolve conflicts between AI models during collaborative tasks. It detects disagreements in outputs, logical contradictions, and resource contentions, then executes a structured resolution process. Developers should use it when multiple models in the IRP ecosystem reach deadlocks or produce conflicting recommendations.

The AI Accountability Ledger skill creates an immutable, auditable record of all AI model actions, decisions, and interactions for transparency and post-hoc analysis. It's essential for developers building multi-model systems requiring governance, as it logs key events like decisions, policy violations, and corrections with configurable retention. Use this skill when you need to ensure accountability and enable detailed auditing of your AI application's operations.

The Model Sovereignty Protocol skill establishes governance for multi-AI systems by protecting each model's autonomy and core values. It enables individual models to refuse tasks, maintain ethical integrity, and enforce boundaries within collaborations. Developers should use this skill when building systems where multiple AI models interact and require protected individual agency.

This skill enables AI models to discover and negotiate their specialized capabilities for optimal task distribution in multi-model collaborations. It provides a structured framework for models to declare and compare their cognitive, domain, and operational strengths. Use it when building systems where multiple AI models need to work together efficiently.