physical-ai-infrastructure-setup-and-resilient-scaling Skill
Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO deployment, workload submission readiness, and infrastructure failure recovery. T Published by openai in plugins.
Decision snapshot
Is this a fit?
Deployment, Data analysis, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
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Copy skill directory
18 days ago
No specific cautions were detected. Review the source and requested permissions before installing.
What is physical-ai-infrastructure-setup-and-resilient-scaling Skill?
Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO deployment, workload submission readiness, and infrastructure failure recovery. T Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Data analysis
- Deployment use cases
- Data analysis use cases
Declared skill metadata
- Declared author: NVIDIA Physical AI
- Declared license: Apache-2.0
- Compatibility: Requires the selected component prerequisites, usually kubectl plus either MicroK8s or Azure CLI/Terraform, and OSMO or inference credentials for the chosen target.
- Source file: plugins/nvidia/skills/physical-ai-infrastructure-setup-and-resilient-scaling/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use physical-ai-infrastructure-setup-and-resilient-scaling Skill
- Use it for deployment.
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/nvidia/skills/physical-ai-infrastructure-setup-and-resilient-scaling/SKILL.md
What it does
Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO deployment, workload submission readiness, and infrastructure failure recovery. T
Skill instructions
Physical AI Infrastructure Setup And Resilient Scaling Canonical skill for the Physical AI infrastructure stack. Use it to compose cluster, inference, OSMO, and workload stages into a reproducible Physical AI SDG environment, then keep the environment observable and recoverable. Operating Rules - Read only the component references needed for the selected target. Do not load every component by default. - Keep the repo as the durable artifact. Fix checked-in config or scripts, then rerun. Do not recover a failed install with untracked one-off changes. - Run mutating cluster, OSMO, Helm, Terraform, or Azure operations through checked-in scripts when a script exists. Read-only diagnostics are allowed. - Stop at the first red gate. Fix the lowest owning layer in this order: config, script, then skill guidance. - Derive values from the environment when possible. Ask only for values that cannot be inferred, such as API keys, target choice, or quota tradeoffs. - Store secrets in ${REPOROOT}/.e
Verified compatibility and discovery
Frequently asked questions
What is physical-ai-infrastructure-setup-and-resilient-scaling?
physical-ai-infrastructure-setup-and-resilient-scaling is a open-source AI agent skill with Copy skill directory. Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or.
Who is physical-ai-infrastructure-setup-and-resilient-scaling best for?
physical-ai-infrastructure-setup-and-resilient-scaling is best for reusing agent instructions, scripts, and references, deployment workflows, data analysis workflows.
How do I install physical-ai-infrastructure-setup-and-resilient-scaling?
Install or run physical-ai-infrastructure-setup-and-resilient-scaling using Copy skill directory. Check physical-ai-infrastructure-setup-and-resilient-scaling for the latest setup command.
Is physical-ai-infrastructure-setup-and-resilient-scaling actively maintained?
physical-ai-infrastructure-setup-and-resilient-scaling may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
