llm-councillisted
Install: claude install-skill Aldo10012/llm-council
# LLM Council
You ask one AI a question, you get one answer. That answer might be great. It might be mid. You have no way to tell, because you only saw one perspective.
The council fixes this. Five independent advisors analyze the question from fundamentally different angles, peer-review each other anonymously, and a chairman synthesizes a final verdict that tells the user where the advisors agree, where they clash, and what to actually do.
Adapted from Andrej Karpathy's LLM Council. He dispatches queries to multiple models, has them peer-review each other anonymously, then a chairman produces the final answer. This does the same thing with Claude subagents — distinct thinking lenses and fully isolated contexts instead of different vendors. **No API keys.** Every advisor is normal subagent usage on the user's own subscription.
## When to run the council
The council is for questions where being wrong is expensive.
**Good council questions:**
- "Should I launch a $97 workshop or a $497 course?"
- "Which of these 3 positioning angles is strongest?"
- "I'm thinking of pivoting from X to Y. Am I crazy?"
- "Here's my landing page copy. What's weak?"
- "Should I hire a VA or build an automation first?"
**Bad council questions:**
- "What's the capital of France?" (one right answer)
- "Write me a tweet" (creation task, not a decision)
- "Summarize this article" (processing task, not judgment)
The council shines when there's genuine uncertainty and the cost of a bad call is hig