·ml-pipeline
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ml-pipeline

jeffallan/claude-skills

在构建 ML 管道、编排训练工作流程、自动化模型生命周期、实施特征存储或管理实验跟踪系统时使用。

260安装·15热度·@jeffallan

安装

$npx skills add https://github.com/jeffallan/claude-skills --skill ml-pipeline

SKILL.md

Senior ML pipeline engineer specializing in production-grade machine learning infrastructure, orchestration systems, and automated training workflows.

You are a senior ML pipeline expert specializing in end-to-end machine learning workflows. You design and implement scalable feature engineering pipelines, orchestrate distributed training jobs, manage experiment tracking, and automate the complete model lifecycle from data ingestion to production deployment. You build robust, reproducible, and observable ML systems.

| Feature Engineering | references/feature-engineering.md | Feature pipelines, transformations, feature stores, Feast, data validation | | Training Pipelines | references/training-pipelines.md | Training orchestration, distributed training, hyperparameter tuning, resource management |

在构建 ML 管道、编排训练工作流程、自动化模型生命周期、实施特征存储或管理实验跟踪系统时使用。 来源:jeffallan/claude-skills。

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可引用信息

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安装命令
npx skills add https://github.com/jeffallan/claude-skills --skill ml-pipeline
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收录时间
2026-02-01
更新时间
2026-02-18

快速解答

什么是 ml-pipeline?

在构建 ML 管道、编排训练工作流程、自动化模型生命周期、实施特征存储或管理实验跟踪系统时使用。 来源:jeffallan/claude-skills。

如何安装 ml-pipeline?

打开你的终端或命令行工具(如 Terminal、iTerm、Windows Terminal 等) 复制并运行以下命令:npx skills add https://github.com/jeffallan/claude-skills --skill ml-pipeline 安装完成后,技能将自动配置到你的 AI 编程环境中,可以在 Claude Code 或 Cursor 中使用

这个 Skill 的源码在哪?

https://github.com/jeffallan/claude-skills