Use when (re)indexing a Sweet Search project. Runs the full-profile indexer with GPU model prewarming (CoreML cascade on M3+, candle Metal on M1/M2, ORT CPU elsewhere), kills ORT CPU models during indexing to avoid memory contention, and rewarms them for query readiness on completion. Incremental runs under 20 files stay on ORT CPU.
How to install sweet-index?
mrsladoje/sweet-search/sweet-index
$npx -y skills add mrsladoje/sweet-search --skill sweet-indexInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/mrsladoje/sweet-search" --skill "mrsladoje/sweet-search/sweet-index"` 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/mrsladoje/sweet-search" that are relevant to the current task. Run `npx skills add "https://github.com/mrsladoje/sweet-search"` and select the relevant skills, then follow their instructions.
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