MLOps & LLMOps - Production Operations Hub

July 2026 posture: version every changeable artifact, gate every release with a regression-eval suite in CI, instrument the whole path with OpenTelemetry (pin GenAI convention version — the spec now lives in its own repo and is still evolving), treat tool/RAG context as untrusted input, and ship rollback plus incident playbooks before launch.

This skill is the execution hub for operating AI systems in production:

• Classical ML ops: ingestion, registries, feature stores, drift, retraining, promotion
• LLMOps: serving, prompt/config lifecycle, online evals, cost controls, safety gates
• Agent runtime ops: tracing, tool governance, approval paths, MCP-aware telemetry, rollback
• Governance: privacy, supply chain, auditability, AI Act readiness, safety incident handling

Use this skill for production architecture, release gates, monitoring, incidents, and governance. Use adjacent skills for modelling, retrieval depth, agent design, or inference internals.

When To Use This Skill

Activate this skill when the user asks for: