Skill UI

A comprehensive guide for deploying Machine Learning training jobs and inference services on the Vast.ai GPU cloud. This skill covers the entire deployment lifecycle, including optimizing Docker images for performance, creating automated provisioning scripts using the Vast.ai CLI, implementing robust data transfer strategies (SCP, rsync), and performing post-deployment health checks.

A comprehensive guide demonstrating the full lifecycle of GPU resource utilization on Vast.ai. This includes searching for available hardware using CLI and REST APIs, provisioning a dedicated GPU instance (e.g., using PyTorch images), connecting via SSH, running deep learning workloads, and finally, securely destroying the instance to stop billing. Ideal for testing cloud integration or managing ML compute pipelines.

Specializes in provisioning Vertex AI infrastructure with Terraform, covering Model Garden, Gemini endpoints, vector search indexes, ML pipelines, and enterprise-grade production deployments.

Automates VPC network provisioning guidance within the GCP Skills category, offering best practices, ready-to-run code, and validation for compute, storage, BigQuery, Vertex AI, and other Google Cloud services whenever “vpc network setup” is mentioned.

AWS Cost Operations describes a capability for overseeing cloud spending, tracking expense drivers, and aligning workloads with budgets so teams can optimize provisioning and finance decisions.

This skill provisions instant, temporary PostgreSQL databases via Neon. It eliminates the need for user sign-up, logins, or credit cards, making it ideal for rapid local development, API prototyping, and isolated testing environments. Supports multiple methods including REST API calls, CLI commands, and SDK integration.

This skill guides the implementation of comprehensive Identity Governance and Lifecycle Management (IGM) processes. It automates the entire employee identity lifecycle—from pre-hire onboarding (Joiner) to role changes (Mover) and termination (Leaver). Key components include Role-Based Access Control (RBAC) provisioning, periodic access recertification, and remediation of orphaned accounts, ensuring compliance with standards like SOX and GDPR.

This skill covers the architecture, design, and implementation of Just-In-Time (JIT) access provisioning. The goal is to eliminate standing privileges by granting temporary, time-bound access only when specific business needs arise. It guides users through designing robust approval workflows, integrating JIT with PAM and IGA platforms, and enforcing zero standing privilege (ZSP) principles to drastically reduce the attack surface and ensure compliance.

This skill guide details how to build a robust, SCIM 2.0-compliant API endpoint to manage user identities automatically. It focuses on integrating this API with Okta as an Identity Provider (IdP), enabling automated provisioning, deprovisioning, and attribute synchronization for seamless user lifecycle management in enterprise environments.

A comprehensive guide to deploying Zero Standing Privilege (ZSP) using CyberArk Secure Cloud Access. This solution eliminates persistent privileged access by provisioning ephemeral, Just-in-Time (JIT) credentials across hybrid and multi-cloud environments (AWS, Azure, GCP). Access is strictly governed by the TEA framework: Time limits, scoped Entitlements, and mandatory Approvals, ensuring the principle of least privilege is maintained.

This skill automates the process of renting, managing, and terminating cloud GPU instances on vast.ai. It analyzes your AI/ML task—determining VRAM, required GPU count, and estimated runtime—and then searches for the most cost-effective and reliable GPU offers, presenting optimized options for your training workflow.

Automate the provisioning of a Google Shared Drive via the GWS CLI, adding members with specific roles to streamline team collaboration.