OpenClaw Model Router Skillv0.2.1

A customer service platform uses the skill to route user queries to specialized models based on explicit intent tags like @codex for complex technical issues and @mini for general inquiries. It schedules model switches during off-peak hours to optimize costs and performance, with audit logs ensuring compliance and incident tracking. The lock protection prevents race conditions during high-volume support ticket routing.

A content creation tool employs the skill to direct user requests to different AI models for tasks such as code generation (@codex) or creative writing (@mini). Timezone-aware scheduling allows switching to more cost-effective models during low-usage periods, while verification and rollback features maintain service reliability. JSONL audit logs help monitor usage patterns and billing accuracy.

A financial analytics platform uses the skill to route data queries to appropriate models, with @codex for detailed numerical analysis and @mini for summary reports. The scheduler ensures high-priority models are active during market hours, and lock protection avoids conflicts in real-time data processing. Audit logs provide traceability for regulatory compliance and error debugging.

A healthcare application leverages the skill to route patient inquiries, using @codex for complex diagnostic suggestions and @mini for general health advice. Time-window policies switch models based on staff availability, with verification steps ensuring accurate outputs before deployment. The closed-loop pipeline enhances safety by rolling back on failures, supported by logs for audit trails.

Offer the routing skill as a managed API service where clients pay monthly fees for access to optimized model routing, scheduling, and audit features. Revenue is generated through tiered pricing based on usage volume and advanced capabilities like rollback and lock protection. This model appeals to businesses seeking reliable AI integration without infrastructure management.

Sell licenses to large organizations for on-premises deployment of the skill, with upfront fees and annual support contracts. Revenue comes from customization, training, and maintenance services, leveraging the skill's production-grade features like verification and JSONL logs for enterprise compliance. This targets industries with strict data governance needs, such as finance or healthcare.

Provide a free tier with basic routing and limited scheduling, while charging for premium features like advanced verification, rollback, and extended audit logs. Revenue is driven by pay-as-you-go pricing for high-volume users or additional integrations. This model attracts startups and developers looking to scale their AI applications cost-effectively.