AI Ml Engineering
AI/ML Engineering Review: Reviews AI/ML systems for production readiness — model serving, MLOps pipelines, LLM integration patterns, prompt engineering, evaluation frameworks, and responsible AI. Covers model deployment, feature stores, experiment tracking, monitoring/drift detection, and AI safety. Use when the user mentions ML, AI, machine learning, model, LLM, GPT, Claude, embeddings, RAG, fine-tuning, MLOps, model serving, feature store, or any AI/ML infrastructure.
Works with: Claude Code (native) · Cursor, Codex CLI (manual)
native: this artifact type is that client's own format
Category: Other — see all ranked ›
Install (Claude Code):
cp -r ai-ml-engineering ~/.claude/skills/- Adoption: 1 repos
Security audit
Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.
source ↗ · skill:camilooscargbaptista/ai-ml-engineering
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Measured 2026-08-03 · scorer s5 · how · something wrong here?