The absolute trainer to light up AI agents.
$ npx skills add microsoft/agent-lightningAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Deploy a ML inference service on a budget in less than 10 lines of code.
The absolute trainer to light up AI agents.
$ npx skills add microsoft/agent-lightningPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsA logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
$ npx skills add drivendataorg/cookiecutter-data-science🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Gemini, Ollama, etc supported. :fireworks: Code RAG
$ npx skills add MLSysOps/MLE-agent⚡ TabPFN: Foundation Model for Tabular Data ⚡
$ npx skills add PriorLabs/TabPFNA library of extension and helper modules for Python's data analysis and machine learning libraries.
$ npx skills add rasbt/mlxtendAlways know what to expect from your data.
$ npx skills add fivetran/great_expectations🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
$ npx skills add ml-tooling/opyratormRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
$ npx skills add smazzanti/mrmrThis repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.
$ npx skills add databricks/mlops-stacksTrain and Deploy an ML REST API to predict crypto prices, in 10 steps
$ npx skills add Paulescu/hands-on-train-and-deploy-mlskops is a Python library helping you share your scikit-learn based models and put them in production
$ npx skills add skops-dev/skopsMLOps using Azure ML Services and Azure DevOps
$ npx skills add microsoft/MLOpsPythonRay is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
$ npx skills add ray-project/rayDeep Learning for humans
$ npx skills add keras-team/kerasHow 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 Budgetml 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.