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Everything your AI needs, in one place.
Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.
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A service that does a whole job for you - research, coding, support - and reports back.
Step-by-step instructions an AI follows for one kind of task. Install once, reuse everywhere.
A voice and set of rules layered onto any model: tone, audience, do's and don'ts.
A ready-to-use prompt with fill-in-the-blank variables and notes on when it works best.
A complete routing setup - models, rules and settings - in one file you can apply in a minute.
A single function an AI can call: a calculator, a search, a database lookup.
A language model endpoint with its price, speed and quality declared so the router can compare it.
vastai-ci-integration
Configure Vast.ai CI/CD integration with GitHub Actions and automated GPU testing. Use when setting up automated testing on GPU instances, or integrating Vast.ai provisioning into CI/CD pipelines. Tri
vastai-core-workflow-a
Execute Vast.ai primary workflow: GPU instance provisioning and job execution. Use when renting GPUs for training, searching offers by price and specs, or managing the full instance lifecycle from sea
vastai-core-workflow-b
Execute Vast.ai secondary workflow: multi-instance orchestration, spot recovery, and cost optimization. Use when running distributed training, handling spot preemption, or optimizing GPU spend across
vastai-deploy-integration
Deploy ML training jobs and inference services on Vast.ai GPU cloud. Use when deploying GPU workloads, configuring Docker images, or setting up automated deployment scripts. Trigger with phrases like
vastai-enterprise-rbac
Implement team access control and spending governance for Vast.ai GPU cloud. Use when managing multi-team GPU access, implementing spending controls, or setting up API key separation for different tea
vastai-incident-runbook
Execute Vast.ai incident response for GPU instance failures and outages. Use when responding to instance failures, investigating training crashes, or handling spot preemption emergencies. Trigger with
vastai-local-dev-loop
Configure Vast.ai local development with testing and fast iteration. Use when setting up a development environment, testing instance provisioning, or building a fast iteration cycle for GPU workloads.
vastai-migration-deep-dive
Migrate GPU workloads to or from Vast.ai, or between GPU providers. Use when switching from AWS/GCP/Azure GPU instances to Vast.ai, migrating between GPU types, or re-platforming ML infrastructure. Tr
vastai-multi-env-setup
Configure Vast.ai GPU cloud across dev, staging, and production environments. Use when isolating GPU pools per team, managing API key separation by env, or implementing spending controls per deploymen
vastai-performance-tuning
Optimize Vast.ai GPU instance selection, startup time, and training throughput. Use when optimizing instance selection, reducing startup latency, or maximizing GPU utilization on rented hardware. Trig
vastai-prod-checklist
Execute Vast.ai production deployment checklist for GPU workloads. Use when deploying training pipelines to production, preparing for large-scale GPU jobs, or auditing production readiness. Trigger wi
vastai-reference-architecture
Implement Vast.ai reference architecture for GPU compute workflows. Use when designing ML training pipelines, structuring GPU orchestration, or establishing architecture patterns for Vast.ai applicati
vastai-security-basics
Apply Vast.ai security best practices for API keys and instance access. Use when securing API keys, hardening SSH access to GPU instances, or auditing Vast.ai security configuration. Trigger with phra
vastai-upgrade-migration
Upgrade Vast.ai CLI, migrate API versions, and handle breaking changes. Use when upgrading vastai CLI, detecting deprecations, or migrating between API versions. Trigger with phrases like "upgrade vas
vastai-webhooks-events
Build event-driven workflows around Vast.ai instance lifecycle events. Use when monitoring instance status changes, implementing auto-recovery, or building event-driven GPU orchestration. Trigger with
vastai-ci-integration
Configure Vast.ai CI/CD integration with GitHub Actions and automated GPU testing. Use when setting up automated testing on GPU instances, or integrating Vast.ai provisioning into CI/CD pipelines. Tri
vastai-common-errors
Diagnose and fix Vast.ai common errors and exceptions. Use when encountering Vast.ai errors, debugging failed instances, or troubleshooting GPU rental issues. Trigger with phrases like "vastai error",
vastai-core-workflow-a
Execute Vast.ai primary workflow: GPU instance provisioning and job execution. Use when renting GPUs for training, searching offers by price and specs, or managing the full instance lifecycle from sea
vastai-core-workflow-b
Execute Vast.ai secondary workflow: multi-instance orchestration, spot recovery, and cost optimization. Use when running distributed training, handling spot preemption, or optimizing GPU spend across
vastai-cost-tuning
Optimize Vast.ai GPU cloud costs through smart instance selection and lifecycle management. Use when analyzing GPU spending, reducing training costs, or implementing budget controls for Vast.ai worklo
vastai-data-handling
Manage training data and model artifacts securely on Vast.ai GPU instances. Use when transferring data to instances, managing checkpoints, or implementing secure data lifecycle on rented hardware. Tri
vastai-debug-bundle
Collect Vast.ai debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Vast.ai problems. T
vastai-deploy-integration
Deploy ML training jobs and inference services on Vast.ai GPU cloud. Use when deploying GPU workloads, configuring Docker images, or setting up automated deployment scripts. Trigger with phrases like
vastai-enterprise-rbac
Implement team access control and spending governance for Vast.ai GPU cloud. Use when managing multi-team GPU access, implementing spending controls, or setting up API key separation for different tea
Find
Search or browse by kind. Every card shows who made it, how many people installed it and what they think.
Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
Rate and publish
Leave a star rating after you have used it. Made something useful? Publish it - free listings go live immediately.
Prefer the terminal? osr stack apply registry://starter installs the starter template.