Best Claude Code skills for api development on Deployment (August 2026)

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 infras…

Deploy ML models with FastAPI, Docker, Kubernetes. Use for serving predictions, containerization, monitoring, drift detection, or encountering latency issues, health check failures, version conflicts.

MCP servers with TypeScript on Cloudflare Workers using @modelcontextprotocol/sdk. Use for API integrations, stateless tools, edge deployments, or encountering export syntax, schema validation, memory leak, CORS, auth errors.

Configure fastapi ml endpoint operations. Auto-activating skill for ML Deployment. Triggers on: fastapi ml endpoint, fastapi ml endpoint Part of the ML Deployment skill category. Use when working with APIs or building integrations. Trigger with phrases like "fastapi ml endpoint"…

Create flask ml api creator operations. Auto-activating skill for ML Deployment. Triggers on: flask ml api creator, flask ml api creator Part of the ML Deployment skill category. Use when working with APIs or building integrations. Trigger with phrases like "flask ml api creator…