Use for recommendation and ranking systems: product or content recommendation, collaborative filtering, candidate retrieval, learning to rank, next-item or sequential recommendation, and cold start. Picks retrieve-then-rank architecture, the right model, honest temporal splits, and ranking metrics. Triggers on 'recommendation', 'recommender', 'collaborative filtering', 'ranking', 'personalization', 'next item', 'user-item', 'what to show users'.
How to install domain-recommender?
mxslr/mlcraft/domain-recommender
$npx -y skills add mxslr/mlcraft --skill domain-recommenderInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/mxslr/mlcraft" --skill "mxslr/mlcraft/domain-recommender"` 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/mxslr/mlcraft" that are relevant to the current task. Run `npx skills add "https://github.com/mxslr/mlcraft"` and select the relevant skills, then follow their instructions.
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