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适用于
机器学习

查看可能有助于完成这类工作的 Skills。

8 个推荐开始
24 个已审核选项

从这些开始。

这是我们找到的强匹配结果。打开 Skill 阅读说明，再判断它是否适合你的工作。

  1. microsoft-foundry

    Supports model fine-tuning and training-data workflows.

    报告安装量 521,891 · microsoft/azure-skills
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  2. machine-learning

    Direct ML development skill, though focused on JAX.

    报告安装量 1,722 · mindrally/skills
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  3. agent-data-ml-model

    End-to-end ML model development, evaluation, and deployment.

    报告安装量 1,123 · ruvnet/ruflo
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  4. machine learning

    Broad Python ML coverage from training through MLOps.

    报告安装量 318 · pluginagentmarketplace/custom-plugin-python
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  5. cuml-machine-learning

    Directly supports core ML tasks on tabular data.

    报告安装量 240 · langchain-ai/deepagents
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  6. azure-machine-learning

    Direct ML development and deployment skill for Azure ML.

    报告安装量 114 · microsoftdocs/agent-skills
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  7. scikit-learn

    Direct classical ML workflows and model pipelines.

    报告安装量 108 · eyadsibai/ltk
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  8. machine-learning

    End-to-end ML pipelines, training, evaluation, and tracking.

    报告安装量 64 · itallstartedwithaidea/agent-skills
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展开另外 16 个 Skills

  1. machine-learning

    Comprehensive ML lifecycle coverage.

    报告安装量 56 · 89jobrien/steve
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  2. scikit-learn-machine-learning

    Direct classical machine-learning implementation skill.

    报告安装量 56 · jaechang-hits/sciagent-skills
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  3. alterlab-scikit-learn

    Direct scikit-learn ML guidance and pipelines.

    报告安装量 55 · alterlab-ieu/alterlab-academic-skills
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  4. training-machine-learning-models

    Directly automates core ML model training and evaluation.

    报告安装量 39 · jeremylongshore/claude-code-plugins-plus-skills
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  5. machine-learning-ops-ml-pipeline

    Directly designs production ML pipelines and MLOps workflows.

    报告安装量 30 · rmyndharis/antigravity-skills
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  6. scikit-learn-ml

    Direct classical ML implementation and evaluation skill.

    报告安装量 16 · beita6969/scienceclaw
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  7. azure-machine-learning

    Direct Azure Machine Learning development skill.

    报告安装量 8 · kilo-org/kilo-marketplace
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  8. machine-learning

    Broad production ML, MLOps, training, and platform design coverage.

    报告安装量 2 · alizafarbati/opencode-agents-mcp
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  9. azure-ai

    Provides access guidance for Azure OpenAI and AI services.

    报告安装量 516,555 · microsoft/azure-skills
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  10. azure-data-science-vm

    Supports ML environments, but is primarily Azure VM operations.

    报告安装量 101 · microsoftdocs/agent-skills
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  11. engineering-features-for-machine-learning

    Relevant ML subtask, but limited to feature engineering.

    报告安装量 52 · jeremylongshore/claude-code-plugins-plus-skills
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  12. evaluating-machine-learning-models

    Relevant ML subtask, but limited to evaluation.

    报告安装量 44 · jeremylongshore/claude-code-plugins-plus-skills
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  13. explaining-machine-learning-models

    Relevant ML subtask, but limited to explainability.

    报告安装量 40 · jeremylongshore/claude-code-plugins-plus-skills
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  14. deploying-machine-learning-models

    Relevant ML lifecycle subtask, but deployment-specific.

    报告安装量 27 · jeremylongshore/claude-code-plugins-plus-skills
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  15. agent-machine-learning-engineer

    ML engineering focus is primarily production serving and infrastructure.

    报告安装量 1 · diegosouzapw/awesome-omni-skill
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  16. machine-learning

    Direct ML functions, but tied to a specialized Republic tool ecosystem.

    报告安装量 1 · hunix/hoc-republic
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