Academic Research Skills for Claude Code: research → write → review → revise → finalize
$ npx skills add Imbad0202/academic-research-skillsAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
$ npx skills add Imbad0202/academic-research-skillsAn AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
$ npx skills add dzhng/deep-research~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
$ npx skills add LearningCircuit/local-deep-researchRun autonomous deep research over web and local sources
$ npx skills add assafelovic/gpt-researcherResearch the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
$ npx skills add mvanhorn/last30days-skill -g12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-BeginnersPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningQlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
$ npx skills add microsoft/qlibGoogle Research
$ npx skills add google-research/google-research🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
$ npx skills add labmlai/annotated_deep_learning_paper_implementationsVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netron💫 Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCy🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
$ npx skills add huggingface/datasetsStable Diffusion web UI
$ npx skills add AUTOMATIC1111/stable-diffusion-webuiA comprehensive collection of ready-to-use scientific and research skills for AI agents.
$ npx skills add K-Dense-AI/claude-scientific-skillsBest Practices on Recommendation Systems
$ npx skills add recommenders-team/recommendersHow 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 Adversarial Recommender Systems Survey 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.