reasoning-router

To route complex reasoning problems, this skill classifies the problem structure, complexity, and domain, then dispatches it to the optimal AI thinking MCP. It monitors for stalls and re-routes to alternative methods to ensure a high-confidence conclusion.

Meta-reasoning is reasoning about reasoning to select optimal problem-solving strategies. You need it for problem decomposition when facing multifaceted questions that require analyzing structure and complexity to break them into manageable parts.

You dispatch a business strategy question by submitting it to the reasoning router, which classifies the domain and selects the best method, such as think-strategies. If progress stalls, it automatically re-routes to cascade-thinking for broader exploration.

Yes, you can use the reasoning router to optimize AI problem solving for minimum tokens. It selects from 11 available reasoning methods, balancing token efficiency with the need to reach a high-confidence conclusion.

When an AI reasoning method stalls during complex problem analysis, the reasoning router detects the stall and automatically re-routes the problem to a different, more suitable reasoning method to continue progressing toward a conclusion.

Yes, this problem classification skill supports investigative and creative reasoning domains. It analyzes problem structure to dispatch tasks across 11 available reasoning methods, including sequential, creative, and investigative approaches.