Agent Skills Directory

Skill Tester

>-

Runbook Generator

Release Manager

RAG Architect - POWERFUL

PR Review Expert

Performance Profiler

Observability Designer (POWERFUL)

Monorepo Navigator

Git Worktree Manager

Explicitly save important knowledge to auto-memory with timestamp and context. Use when a discovery is too important to rely on auto-capture.

ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infrastructure (MLflow, Kubeflow, Kubernetes, Docker), monitoring model performance or drift, building RAG pipelines, or integrating LLM APIs with retry logic and cost controls. Focused on production and operational concerns rather than model research or initial training.