from claw-router18
Trait-based router that scores messages by complexity and task type to automatically select the most suitable AI model for each request.
Claw Router scores incoming messages across complexity tiers and task-type dimensions, then matches those traits to configured model profiles to route each request to the best-fit AI model. It supports rule-based scoring augmented by LLM arbitration for borderline cases or tie-breaking.
Use this skill when an environment hosts multiple LLMs and you need dynamic routing to optimize cost, latency, or capability—for example, sending simple chat queries to a low-cost model while routing complex coding or design tasks to a stronger model. Also useful for hybrid deployments where models specialize in translation, math, writing, or analysis.
Inferred compatibility: OpenClaw agents, orchestration plugins, or any system that can call a routing tool; integrates well with Claude Code, Copilot-like agents, or custom LLM services for arbitration.
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