Deploy Ml Model Serving | Agent Skills Atlas

About this skill

Machine-Learning-Modelle auf Produktions-Serving-Infrastruktur mit MLflow, BentoML oder Seldon Core mit REST/gRPC-Endpunkten bereitstellen, Autoscaling, Monitoring und A/B-Test-Faehigkeiten fuer leistungsstarke Modellinferenz im grossen Massstab implementieren. Verwenden beim Bereitstellen trainierter Modelle fuer Echtzeit-Inferenz, beim Einrichten von REST- oder gRPC- Vorhersage-APIs, beim Implementieren von Autoscaling fuer variable Last, beim Durchfuehren von A/B-Tests zwischen Modellversionen oder beim Migrieren von Batch- zu Echtzeit-Inferenz.

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: bc3f07662b1b857fde989118fa92599f6e721482ea28449a668c59cf97b254d5

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Original listing metadata

Original name

deploy-ml-model-serving

Original description

About this listing

Category: Engineering
Reported license: MIT
Listing language (estimated): German
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.