mle-workflow
星标238,500
分支28,143
更新时间2026年5月11日 19:10
Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.
· 实时索引
安装
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
想先保存到本地？可下载 RuleHub 当前索引到的 GitHub 仓库压缩包。
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SKILL.mdreadonly
| name | mle-workflow |
| description | Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment... |
mle-workflow
Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.
When to use
Use this skill when the user needs help with tasks related to mle workflow.
Guidelines
- Follow repository conventions in
affaan-m/ECC - Prefer minimal, focused changes
- Validate outputs before finishing