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ClaudSkills / Engineering / ml-ai-eng

Mlops

Category: Engineering  ·  Sub-category: ml-ai-eng  ·  Last updated:
ai:ragai:llm
Design and implement ML operations — model registry, serving patterns, deployment strategies (shadow/canary/blue-green), drift detection, feature stores, retraining triggers, and prediction monitoring. Use when asked to "deploy a model", "model registry", "MLflow", "feature store", "drift detection", "retrain trigger", "shadow mode", "model versioning", "serving infrastructure", or "ML pipeline". Do NOT use for: prompt engineering or RAG pipelines — see prompt-engineering and rag-architect skills. Do NOT use for: general API deployment without an ML component.

About this skill (catalog notes)

Mlops includes worked examples; pricing or quota commentary; 7 code blocks for direct copy-paste. The SKILL.md runs to about 893 words, in the catalog's typical mid-range.

Original author
phamlongh230-lgtm
Indexed lastmod
Catalog position
Engineering · ml-ai-eng
Indexed related skills
10

How Mlops fits the catalog

Mlops sits in the Engineering category under the ml-ai-eng sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.

These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.

What this skill does

Mlops is a community-contributed Claude Code skill in the ml-ai-eng sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/mlops/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when asked to "deploy a model", "model registry", "MLflow", "feature store", "drift detection", "retrain trigger", "shadow mode", "model versioning", "serving infrastructure", or "ML pipeline". Do NOT use for: prompt engineering or RAG pipelines — see prompt-engineering and rag-architect skills.

Who uses this skill

The Mlops Claude Code skill is built for software engineers, backend developers, full-stack teams, and technical leads building and maintaining production systems. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 88,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/mlops
curl -L https://claudskills.com/skills/mlops/SKILL.md \
  -o ~/.claude/skills/mlops/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/mlops/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/mlops/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\mlops\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the Mlops Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/mlops/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Mlops skill do?
Design and implement ML operations — model registry, serving patterns, deployment strategies (shadow/canary/blue-green), drift detection, feature stores, retraining triggers, and prediction monitoring. Use when asked to "deploy a model", "model registry", "MLflow", "feature store", "drift detection", "retrain trigger", "shadow mode", "model versioning", "serving infrastructure", or "ML pipeline". Do NOT use for: prompt engineering or RAG pipelines — see prompt-engineering and rag-architect skills. Do NOT use for: general API deployment without an ML component.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Mlops skill?
Use Mlops when your Claude Code task falls under the Engineering category — specifically in the ml ai eng area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Mlops" or describe the task and let Claude pick). Browse related skills at /category/engineering/.
What is a Claude Code skill and how does the Mlops skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Mlops is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Engineering category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
phamlongh230-lgtm. (2026). Mlops [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/mlops/
BibTeX
@misc{mlops-2026,
  author    = {phamlongh230-lgtm},
  title     = {Mlops [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/mlops/}
}

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