claude

vastai-pack

Complete Vast.ai integration skill pack with 24 skills covering GPU marketplace, cloud compute, and ML infrastructure. Flagship tier vendor pack.

2 on GitHubby Jeremy Longshorev1.0.0MITupdated 6 months agosaas-packs
/

Plugin vastai-pack from marketplace claude-code-plugins-plus in flight505/skill-forge. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (24)

  • vastai-ci-integration

    Configure Vast.ai CI/CD integration with GitHub Actions and automated

  • vastai-common-errors

    Diagnose and fix Vast.ai common errors and exceptions.

  • vastai-core-workflow-a

    Execute Vast.ai primary workflow: GPU instance provisioning and job

  • vastai-core-workflow-b

    Execute Vast.ai secondary workflow: multi-instance orchestration, spot

  • vastai-cost-tuning

    Optimize Vast.ai GPU cloud costs through smart instance selection and

  • vastai-data-handling

    Manage training data and model artifacts securely on Vast.ai GPU instances.

  • vastai-debug-bundle

    Collect Vast.ai debug evidence for support tickets and troubleshooting.

  • vastai-deploy-integration

    Deploy ML training jobs and inference services on Vast.ai GPU cloud.

  • vastai-enterprise-rbac

    Implement team access control and spending governance for Vast.ai GPU

  • vastai-hello-world

    Rent your first GPU instance on Vast.ai and run a workload.

  • vastai-incident-runbook

    Execute Vast.ai incident response for GPU instance failures and outages.

  • vastai-install-auth

    Install and configure Vast.ai CLI and REST API authentication.

  • vastai-local-dev-loop

    Configure Vast.ai local development with testing and fast iteration.

  • vastai-migration-deep-dive

    Migrate GPU workloads to or from Vast.ai, or between GPU providers.

  • vastai-multi-env-setup

    Configure Vast.ai GPU cloud across dev, staging, and production environments.

  • vastai-observability

    Monitor Vast.ai GPU instance health, utilization, and costs.

  • vastai-performance-tuning

    Optimize Vast.ai GPU instance selection, startup time, and training

  • vastai-prod-checklist

    Execute Vast.ai production deployment checklist for GPU workloads.

  • vastai-rate-limits

    Handle Vast.ai API rate limits with backoff and request optimization.

  • vastai-reference-architecture

    Implement Vast.ai reference architecture for GPU compute workflows.

  • vastai-sdk-patterns

    Apply production-ready Vast.ai SDK patterns for Python and REST API.

  • vastai-security-basics

    Apply Vast.ai security best practices for API keys and instance access.

  • vastai-upgrade-migration

    Upgrade Vast.ai CLI, migrate API versions, and handle breaking changes.

  • vastai-webhooks-events

    Build event-driven workflows around Vast.ai instance lifecycle events.

View source on GitHub tonsofskills.com

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