Edge / on-device AI inference architecture: running models on MCUs, NPUs, mobile, and mini-PCs; quantization for edge, TOPS/memory/energy budgets, TinyML, and the latency case for on-device vs cloud. Architect-level.
How to install edge-inference?
claude-dev-suite/claude-dev-suite/edge-inference
$npx -y skills add claude-dev-suite/claude-dev-suite --skill edge-inferenceInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/claude-dev-suite/claude-dev-suite" --skill "claude-dev-suite/claude-dev-suite/edge-inference"` 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/claude-dev-suite/claude-dev-suite" that are relevant to the current task. Run `npx skills add "https://github.com/claude-dev-suite/claude-dev-suite"` and select the relevant skills, then follow their instructions.
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