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from llm-council-skill208
Run decisions through a council of five AI advisors who independently analyze, peer-review, and synthesize a clear recommendation (Karpathy-style).
Implements a structured LLM Council decision workflow: frame a question with workspace context, run five distinct advisors in parallel (Contrarian, First Principles, Expansionist, Outsider, Executor), run anonymized peer reviews, and synthesize a chairman verdict with clear recommendation and a single next step. Produces an HTML report and full transcript for records.
Use this skill for high-stakes decisions or trade-offs where multiple perspectives materially improve outcomes — product strategy, pricing, positioning, launches, and critical business choices. Not for trivial factual queries or simple content generation.
Best used by multi-agent or subagent-capable systems (Claude Code, ACP/agent runtimes) that can spawn parallel sub-agents and produce HTML reports. Works with agents that can read workspace files for context enrichment.
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