⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, Football-Data.co.uk, Sofascore, SoFIFA, Understat and WhoScored.
$ npx skills add probberechts/soccerdataAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
NBA sports betting using machine learning
⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, Football-Data.co.uk, Sofascore, SoFIFA, Understat and WhoScored.
$ npx skills add probberechts/soccerdataFree football data from StatsBomb
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$ npx skills add zenml-io/zenmlOpen Machine Learning Course
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$ npx skills add alvinreal/awesome-opensource-aiWebApps in pure Python. No JavaScript, HTML and CSS needed
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$ npx skills add kayba-ai/agentic-context-engineA Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
$ npx skills add WenjieDu/PyPOTSThis repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
$ npx skills add NirDiamant/RAG_TechniquesHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep NBA Machine Learning Sports Betting if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.