Schedule work units across mesh devices by capability and load.
npx skills add https://github.com/47network/Sven --skill mesh-scheduler
Please help me install this Agent Skill. Skill: mesh-scheduler Source: https://github.com/47network/Sven/tree/main/skills/compute-mesh/mesh-scheduler Command: npx skills add https://github.com/47network/Sven --skill mesh-scheduler
Schedules work units to mesh devices based on capability matching, load balancing, battery awareness, and priority to maximize efficiency across distributed hardware.
Provide a work unit input (jobId, index, payload, resourceReqs, priority) and let mesh-scheduler route it to the optimal device.
High-intent search queries and answers about installing and using this skill.
Mesh device scheduling matches work unit resource requirements and priority against a device registry to assign tasks. It evaluates current device load and hardware capabilities to route single or batch jobs to the optimal available hardware.
Load balancing in distributed computing evaluates current device load during work unit scheduling to prevent hotspots. It routes tasks across available mesh devices to maximize throughput and optimize resource utilization in distributed hardware environments.
Yes, you can apply optional scheduling policies to influence device selection in a mesh network. Policies guide the scheduler's scoring logic, allowing you to prioritize battery awareness, network connectivity, or specific task requirements during work unit assignment.
To route batch tasks to distributed hardware, submit multiple work units with assigned priority levels. The scheduler processes batch scheduling by matching each unit's resource requirements and priority against the device registry to optimize assignment.
Mesh scheduling works without external dependencies by implementing an internal TypeScript handler and a built-in device registry. This self-contained architecture coordinates work unit creation, scheduling decisions, and scoring without requiring external plugins.
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