Consilium: Multi-Agent Orchestration

Query external AI agents for independent, unbiased expert opinions. Each agent has a distinct thinking role and responds in a structured format for easy comparison.

Why this skill

Different frontier models see different things. Each has a slightly different training distribution, tool-use style, and failure mode — so they latch onto different aspects of the same problem.

• Brainstorming / problem-solving / feature design. Querying Codex + Claude + OpenCode/Gemini (or any subset) in parallel yields a wider solution space than any single model alone. You get original, non-obvious alternatives that one model would never surface on its own.
• Code review. Different models find different issues. One catches a subtle race condition; another flags an auth gap; a third questions the architecture. The union of their findings is materially broader than a single-reviewer pass.

The skill keeps each agent independent (no debate, no cross-contamination) and lets the caller adjudicate — you get raw parallel perspectives, not a homogenized committee answer.

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