The Star Chamber: Multi-LLM Consensus for Code Quality
Every AI model has blind spots. It might overlook context, lean toward certain patterns, or fill gaps with confident guesses. When you're using an AI coding agent to help with architecture decisions or code review, you're getting one perspective from one model. That's fine for straightforward work. But for decisions that shape the long-term direction of a codebase, one perspective isn't enough.
The Star Chamber is a skill for Claude Code that fans out code reviews and design questions to multiple LLM providers simultaneously, aggregates their feedback, and presents consensus-based recommendations. Think of it as a senior engineering council that reviews the same code independently, then you get a summary of where they agree and where they don't.