AI Agent Skills

Lead an audience from analysis and evidence to a recommendation and implementation plan. Make the assumptions and decision points visible in the presentation.

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

Classic papers and resources on recommendation

A unified, comprehensive and efficient recommendation library

DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

📚 PaperFlow: Dynamic personalized scientific-paper recommendation, reading, and reporting

Best Practices on Recommendation Systems

A Python implementation of LightFM, a hybrid recommendation algorithm.

Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases…

After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails,…

Draft, audit, or revise Nature-style revision correspondence packages: point-by-point reviewer-separated response letters, rebuttal letters, revision cover lett

Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experimen…

Machine Learning Platform and Recommendation Engine built on Kubernetes

AI crawler access analysis. Checks robots.txt, meta tags, and HTTP headers to determine which AI crawlers can access the site. Provides a complete access map and recomme…