Individual skill
mlops-engineer
MLOps and deployment covering model serving (TorchServe, TF Serving, Triton), containerized inference, A/B testing deployment, model monitoring (data drift, concept drift), feature stores, CI/CD for ML, GPU optimization, and model compression. Use when the user asks about mlops engineer, mlops engineer best practices, or needs guidance on mlops engineer implementation. Do NOT use when the user needs a different specialized skill or is asking about an unrelated technology domain.
src/process/resources/skills-library/bodies/skills/ai-machine-learning/mlops-engineer/SKILL.md
Source commit 4c030c7b01c241df7b6e3535635a970f10d781af
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Instructions only
- Last checked
- Nov 4, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 618
- Repository last updated
- Oct 31, 2026
- License
- AGPL-3.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- acp Repository topic
- agent-orchestration Repository topic
- ai-agent Repository topic
- claude-code Repository topic
- desktop-app Repository topic
- electron Repository topic
- llm Repository topic
- local-first Repository topic
- mcp Repository topic
- rust Repository topic
- ai-ml-devops-guide Declared skill tag
- devops Derived category
- data Derived category
- testing Derived category
Files and excerpt
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