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air-gapped

Official

@air-gapped

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3Public Repos
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58Published Skills

Specialized infrastructure engineering for air-gapped high-performance inference, Kubernetes orchestration, and secure enterprise software lifecycle management.

Skills Distribution
DomainCloud & Comp...Inference Infrastr.. (40%)Kubernetes & Orche.. (30%)Security & Complia.. (20%)Software Engineering (10%)

Agent Skills by air-gapped

Showing 58 vetted skills indexed across 2 GitHub repositories.

air-gappedair-gapped
5

ansible-idrac-9-10

Branch Ansible playbooks for iDRAC 9/10 authentication and Redfish attribute differences.

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Advanced
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vllm-benchmarking

Benchmark production vLLM deployments for latency, throughput, and SLO compliance.

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Advanced
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5

open-webui-embeddings

Wire HuggingFace TEI embeddings and reranking into Open WebUI via LiteLLM.

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Advanced
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5

threat-model

Identify codebase threats via the four-question framework and output THREAT_MODEL.md.

Official
Advanced
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5

jinja-expert

Author and debug Jinja2 templates for HuggingFace, Ansible, and Kubernetes workflows.

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Advanced
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autoresearch

Execute autonomous experiments to improve software artifacts using a measurable metric.

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Advanced
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vllm-configuration

Configure and verify vLLM deployments in air-gapped environments.

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Advanced
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jira-confluence-mcp

Configure and harden Jira/Confluence MCP server deployments for air-gapped environments.

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Advanced
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secure-boot-cert-rotation

Identify and remediate Secure Boot certificate expiries across Dell iDRAC, Linux hosts, and Harvester/KubeVirt VMs.

Official
Advanced
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5

vllm-gemma-4-31b

Benchmark Gemma-4-31B AWQ-4bit on vLLM for tensor-parallel configuration.

Official
Advanced
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gpu-host-tuning

Audit Linux GPU inference hosts for configuration gaps and performance bottlenecks.

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Advanced
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skill-improver

Automates iterative improvement of Claude Code skills via a scoring and mutation loop.

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Advanced
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vuln-scan

Scan codebases statically and output VULN-FINDINGS.json and VULN-FINDINGS.md.

Official
Advanced
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vllm-observability

Standardize Prometheus metrics, dashboards, and tracing guidance for vLLM deployments.

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Advanced
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baml-expert

Generate typed Python clients from .baml sources with streaming support.

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Advanced
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vllm-quantization

Quantize LLM checkpoints for vLLM serving with FP8, NVFP4, and MXFP4 formats.

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Advanced
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vllm-reasoning-parsers

Map vLLM reasoning parsers for start/end tokens and streaming behavior.

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Advanced
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openshift-app

Package, build, secure, and deploy applications on OpenShift Container Platform.

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Advanced
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5

aiperf

Benchmark latency, throughput, and telemetry across OpenAI-compatible inference servers.

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Advanced
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5

lmcache-mp

Run LMCache MP to share KV caches among vLLM pods in Kubernetes clusters.

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Advanced
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triage

Verify, deduplicate, rank, and route security findings into TRIAGE.json and TRIAGE.md.

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Advanced
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vllm-performance-tuning

Optimize vLLM MoE performance tuning workflows across GPU hardware configurations.

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Advanced
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jira-best-practices

Map Jira work items to role-based container, deliverable, and breakdown hierarchies.

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Advanced
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nvidia-nixl

Coordinate cross-node memory transfers and metadata exchange with NIXL.

Official
Advanced

Frequently Asked Questions About air-gapped

FAQPage Schema
What specific tasks can be performed using these infrastructure skills?

These skills enable the deployment, benchmarking, and optimization of inference clusters, secure management of Jira/Confluence instances, and validation of Kubernetes upgrade readiness in air-gapped environments.

Which technical personas benefit most from these capabilities?

Platform engineers, site reliability engineers, and security architects operating in restricted or high-security environments will find these skills essential for managing complex inference stacks and enterprise software governance.

What are the prerequisites for implementing these deployment patterns?

Successful implementation requires existing Kubernetes or OpenShift clusters, NVIDIA datacenter hardware, and access to internal container registries for air-gapped image distribution and configuration management.