Advanced RuView capabilities — RuvSense multistatic sensing (attention-weighted fusion, geometric diversity, persistent field model), cross-viewpoint fusion across multiple nodes, RF tomography (ISTA L1 solver, voxel grids), longitudinal biomechanics drift, pre-movement intention signals, adversarial signal detection, and multistatic mesh security hardening. Use for research-grade or multi-node deployments.
How to install ruview-advanced-sensing?
ruvnet/ruview/ruview-advanced-sensing
$npx -y skills add ruvnet/ruview --skill ruview-advanced-sensingInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/ruvnet/ruview" --skill "ruvnet/ruview/ruview-advanced-sensing"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/ruvnet/ruview" that are relevant to the current task. Run `npx skills add "https://github.com/ruvnet/ruview"` and select the relevant skills, then follow their instructions.
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