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implementing-mlops

67 / 100 · Review before installing

Check before installing.

By ancoleman/ai-design-components (GitHub) · design · 530 stars · scanned at commit 76551b7

Strategic guidance for operationalizing machine learning models from experimentation to production. Covers experiment tracking (MLflow, Weights & Biases), model registry and versioning, feature stores (Feast, Tecton), model serving patterns (Seldon, KServe, BentoML), ML pipeline orchestration (Kubeflow, Airflow), and model monitoring (drift detection, observability). Use when designing ML infrastructure, selecting MLOps platforms, implementing continuous training pipelines, or establishing mode…

Works with any agent that supports SKILL.md skills.

What this skill can do

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Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'implementing-mlops' ] || [ -L ~/.agents/skills/'implementing-mlops' ]; then echo 'A skill folder named implementing-mlops already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/ancoleman/ai-design-components' "$d" && git -C "$d" checkout --quiet '76551b7b19ebc667764ec75da14990d0aef8b6e5' -- 'skills/implementing-mlops' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/implementing-mlops' ~/.agents/skills/'implementing-mlops' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'implementing-mlops' ~/.claude/skills/'implementing-mlops' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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