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
🤖 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
The absolute trainer to light up AI agents.
$ npx skills add microsoft/agent-lightning✨ Build a machine learning model from a prompt
$ npx skills add plexe-ai/plexePretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningA logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
$ npx skills add drivendataorg/cookiecutter-data-scienceAccessible large language models via k-bit quantization for PyTorch.
$ npx skills add bitsandbytes-foundation/bitsandbytesSeamlessly integrate LLMs into scikit-learn.
$ npx skills add BeastByteAI/scikit-llmBharatMLStack is an open-source, end-to-end machine learning infrastructure stack built at Meesho to support real-time and batch ML workloads at Bharat scale
$ npx skills add Meesho/BharatMLStackThis 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/skopsWelcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
$ npx skills add meta-llama/llama-cookbookMLOps using Azure ML Services and Azure DevOps
$ npx skills add microsoft/MLOpsPythonDeploy a ML inference service on a budget in less than 10 lines of code.
$ npx skills add ebhy/budgetmlRobust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
$ npx skills add PeterL1n/RobustVideoMattingOpen standard for machine learning interoperability
$ npx skills add onnx/onnxDatasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionHow 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 MLE Agent 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.