What problem does it solve? Setting up a Rainbond platform environment involves choosing a deployment target, preparing SSH access, validating cluster topology, and handling failures safely. This Skill automates that entire platform installation workflow so an AI agent can provision a working Rainbond environment before any application is deployed. ## Core Features & Use Cases - Multi-target installation: Installs Rainbond on a local machine (macOS via OrbStack, Windows via WSL2), a single remote Linux server, a 3-100 node host cluster via ROI, or an existing Kubernetes cluster via Helm. - Guided host cluster onboarding: Generates a protected servers.txt form, validates all nodes at once, auto-assigns etcd/master/worker/gateway roles, and prepares SSH key-based access with a single version-locked command. - Safe resume and verification: Preserves protected checkpoints on interruption, verifies artifact checksums and cluster identity before resuming, and validates platform components and Console before handing off to browser authorization. - Use Case: A user tells the agent to deploy their project but no Rainbond exists; this Skill installs Rainbond on three provided Linux servers, verifies the Console, completes authorization, and then resumes the original deployment intent. ## Quick Start Ask the agent to install the Rainbond platform on your servers and follow the fixed prompts to fill in server details and confirm the installation.