Overview
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and external agent monitoring.
Detailed guide coming soon. We haven't written a full guide for this skill yet.
Related
Skill claude-mem-cowork
Claude-Mem for Cowork (Claude app cloud sessions) - hooks stream tool use to cmem.ai and inject observations into new sessions and agents
Skill firebase
Google Firebase MCP integration. Manage Firestore databases, authentication, cloud functions, hosting, and storage. Build and manage your Firebase backend directly from your development workflow.
Skill gitlab
GitLab DevOps platform integration. Manage repositories, merge requests, CI/CD pipelines, issues, and wikis. Full access to GitLab's comprehensive DevOps lifecycle tools.
Skill mcp-server-dev
Skills for designing and building MCP servers that work seamlessly with Claude. Guides you through deployment models (remote HTTP, MCPB, local), tool design patterns, auth, and interactive MCP apps.
Skill mcp-tunnels
Connect Claude to a private MCP server through an Anthropic MCP tunnel. The /create-docker-mcp-tunnel command drives the Docker Compose quickstart end to end: certificates, proxy config, cloudflared, and a verifiable sample server.
Skill project-artifact
Generate and publish a living project status page — overview & success criteria, the workstream sequence, and next steps — as a shareable claude.ai artifact backed by a per-project config, so refreshes re-gather live state, redeploy the same URL, and report only the delta.