Always know what to expect from your data.
$ npx skills add fivetran/great_expectationsAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
Always know what to expect from your data.
$ npx skills add fivetran/great_expectationsWorkflow Engine for Kubernetes
$ npx skills add argoproj/argo-workflowsLearn how to develop, deploy and iterate on production-grade ML applications.
$ npx skills add GokuMohandas/Made-With-MLThe absolute trainer to light up AI agents.
$ npx skills add microsoft/agent-lightningRay 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/rayPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningLabel Studio is a multi-type data labeling and annotation tool with standardized output format
$ npx skills add HumanSignal/label-studioDeep Learning for humans
$ npx skills add keras-team/keras๐ซ Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
$ npx skills add wandb/wandbLow-code framework for building custom LLMs, neural networks, and other AI models
$ npx skills add ludwig-ai/ludwigKedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
$ npx skills add kedro-org/kedroRun, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).
$ npx skills add skypilot-org/skypilotA Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
$ npx skills add yzhao062/pyodFast and Accurate ML in 3 Lines of Code
$ npx skills add autogluon/autogluonA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsHow 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 Distributed Ml Patterns 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.
Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
Always know what to expect from your data.
$ npx skills add fivetran/great_expectationsWorkflow Engine for Kubernetes
$ npx skills add argoproj/argo-workflowsLearn how to develop, deploy and iterate on production-grade ML applications.
$ npx skills add GokuMohandas/Made-With-MLThe absolute trainer to light up AI agents.
$ npx skills add microsoft/agent-lightningRay 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/rayPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningLabel Studio is a multi-type data labeling and annotation tool with standardized output format
$ npx skills add HumanSignal/label-studioDeep Learning for humans
$ npx skills add keras-team/keras๐ซ Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
$ npx skills add wandb/wandbLow-code framework for building custom LLMs, neural networks, and other AI models
$ npx skills add ludwig-ai/ludwigKedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
$ npx skills add kedro-org/kedroRun, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).
$ npx skills add skypilot-org/skypilotA Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
$ npx skills add yzhao062/pyodFast and Accurate ML in 3 Lines of Code
$ npx skills add autogluon/autogluonA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsHow 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 Distributed Ml Patterns 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.