vllm eklentisi
vLLM operator reference suite — deployment, configuration, quantization, caching, KV, tool parsers, reasoning parsers, chat templates, benchmarking, performance tuning, observability, omni, input modalities, speculative decoding, NVIDIA hardware, and a Gemma 4 31B operating-point serve recipe.
vllm eklentisi nasıl yüklenir
Her iki komutu da Claude Code içinde çalıştırın. Birincisi pazaryerini bir kez ekler; ikincisi eklentiyi yükler.
/plugin marketplace add air-gapped/skills
/plugin install vllm@air-gapped-marketplacevllm içinde ne var
Eklentinin kendi dosyalarından okunan 15 parça.
SKILL'ler 15
Görev eşleştiğinde Claude bunu yükler- vllm-benchmarking
Run production-grade benchmarks for vLLM to measure latency, throughput, and SLO compliance using various subcommands and methodologies.
- vllm-caching
Configures tiered KV cache offloading for vLLM production clusters using CPU, NVMe, and RDMA backends.
- vllm-chat-templates
Provides a reference for managing Jinja-based chat templates, resolution precedence, and troubleshooting prompt-rendering issues in vLLM deployments.
- vllm-configuration
Configure vLLM deployment settings via YAML, CLI arguments, and environment variables, including specialized setups for air-gapped environments.
- vllm-deployment
Helps agents author, review, and fix vLLM deployment manifests for Kubernetes, Docker, and OpenShift, including multi-node and MoE configurations.
- vllm-gemma-4-31b
Provides optimized deployment configurations and performance benchmarks for serving Gemma 4 31B on vLLM hardware.
- vllm-input-modalities
Configure and deploy non-chat inference endpoints for text embeddings, reranking, speech-to-text, and document OCR using vLLM.
- vllm-nvidia-hardware
Provides technical specifications and deployment guidance for NVIDIA AI hardware ranging from Hopper to Vera Rubin architectures for vLLM workloads.
- vllm-observability
Monitor and troubleshoot production vLLM deployments using Prometheus metrics, Grafana dashboards, and OTLP tracing.
- vllm-omni
Extends vLLM to support multimodal generation for images, video, audio, and any-to-any omni models via a plugin layer.
- vllm-performance-tuning
Optimizes vLLM performance through MoE kernel autotuning, parallelism configuration, scheduler knob adjustment, and distributed system tuning.
- vllm-quantization
Configures and troubleshoots GPU quantization formats and KV-cache dtypes for high-performance LLM serving on NVIDIA and AMD hardware.
- vllm-reasoning-parsers
Enables agents to split model output into distinct reasoning and content fields using specialized parsers for thinking models.
- vllm-speculative-decoding
Configure, tune, and monitor speculative decoding methods in vLLM production environments to improve inference throughput.
- vllm-tool-parsers
Provides a navigation map for selecting, configuring, and debugging tool-calling parsers within vLLM deployments.
Claude Code içinde vllm kullanımı
SKILL'ler komut gerektirmez. Claude, isteğiniz tanımladıkları şeyle eşleştiğinde onları okur.
Güncelleyin, kapatın veya kaldırın
- Eklentiyi güncelleyin (shell)
- claude plugin update vllm@air-gapped-marketplace
- marketplace'i yenileyin
- /plugin marketplace update air-gapped-marketplace
- Şimdilik kapatın
- /plugin disable vllm@air-gapped-marketplace
- Kaldırın
- /plugin uninstall vllm@air-gapped-marketplace
vllm içindeki beceriler
- vllm-benchmarkingair-gapped/skills
Run production-grade benchmarks for vLLM to measure latency, throughput, and SLO compliance using various subcommands and methodologies.
11 dosya6yıldız - vllm-configurationair-gapped/skills
Configure vLLM deployment settings via YAML, CLI arguments, and environment variables, including specialized setups for air-gapped environments.
12 dosya6yıldız - vllm-deploymentair-gapped/skills
Helps agents author, review, and fix vLLM deployment manifests for Kubernetes, Docker, and OpenShift, including multi-node and MoE configurations.
18 dosya6yıldız - vllm-gemma-4-31bair-gapped/skills
Provides optimized deployment configurations and performance benchmarks for serving Gemma 4 31B on vLLM hardware.
8 dosya6yıldız - vllm-observabilityair-gapped/skills
Monitor and troubleshoot production vLLM deployments using Prometheus metrics, Grafana dashboards, and OTLP tracing.
9 dosya6yıldız - vllm-quantizationair-gapped/skills
Configures and troubleshoots GPU quantization formats and KV-cache dtypes for high-performance LLM serving on NVIDIA and AMD hardware.
13 dosya6yıldız - vllm-speculative-decodingair-gapped/skills
Configure, tune, and monitor speculative decoding methods in vLLM production environments to improve inference throughput.
15 dosya6yıldız - vllm-cachingair-gapped/skills
Configures tiered KV cache offloading for vLLM production clusters using CPU, NVMe, and RDMA backends.
8 dosya6yıldız - vllm-chat-templatesair-gapped/skills
Provides a reference for managing Jinja-based chat templates, resolution precedence, and troubleshooting prompt-rendering issues in vLLM deployments.
10 dosya6yıldız - vllm-input-modalitiesair-gapped/skills
Configure and deploy non-chat inference endpoints for text embeddings, reranking, speech-to-text, and document OCR using vLLM.
11 dosya6yıldız - vllm-nvidia-hardwareair-gapped/skills
Provides technical specifications and deployment guidance for NVIDIA AI hardware ranging from Hopper to Vera Rubin architectures for vLLM workloads.
12 dosya6yıldız - vllm-omniair-gapped/skills
Extends vLLM to support multimodal generation for images, video, audio, and any-to-any omni models via a plugin layer.
9 dosya6yıldız - vllm-performance-tuningair-gapped/skills
Optimizes vLLM performance through MoE kernel autotuning, parallelism configuration, scheduler knob adjustment, and distributed system tuning.
8 dosya6yıldız - vllm-reasoning-parsersair-gapped/skills
Enables agents to split model output into distinct reasoning and content fields using specialized parsers for thinking models.
10 dosya6yıldız - vllm-tool-parsersair-gapped/skills
Provides a navigation map for selecting, configuring, and debugging tool-calling parsers within vLLM deployments.
9 dosya6yıldız
vllm eklentisi soruları
vllm eklentisini nasıl yüklerim?
Claude Code içinde /plugin marketplace add air-gapped/skills, ardından /plugin install vllm@air-gapped-marketplace çalıştırın.
vllm eklentisi neleri içerir?
vllm şunları içerir: 15 beceri.
vllm eklentisini nasıl güncellerim veya kaldırırım?
Shell üzerinde claude plugin update vllm@air-gapped-marketplace ile güncelleyin veya /plugin altındaki Yüklü sekmesinden yapın. /plugin uninstall vllm@air-gapped-marketplace ile kaldırın.
vllm eklentisi hangi lisans altındadır?
Eklentinin manifestosunda belirtildiği üzere MIT.