vllm 플러그인
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 플러그인 설치 방법
두 명령을 모두 Claude Code 안에서 실행하십시오. 첫 번째는 마켓플레이스를 한 번 추가하고, 두 번째는 플러그인을 설치합니다.
/plugin marketplace add air-gapped/skills
/plugin install vllm@air-gapped-marketplacevllm 구성 요소
플러그인 파일에서 읽어온 15개의 항목입니다.
Skills 15
작업이 일치하면 Claude가 로드합니다- 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 Code에서 vllm 사용하기
Skills는 명령어가 필요하지 않습니다. 요청이 설명과 일치하면 Claude가 이를 읽습니다.
업데이트, 비활성화 또는 삭제
- 플러그인 업데이트 (shell)
- claude plugin update vllm@air-gapped-marketplace
- marketplace 새로고침
- /plugin marketplace update air-gapped-marketplace
- 일시적으로 비활성화
- /plugin disable vllm@air-gapped-marketplace
- 삭제
- /plugin uninstall vllm@air-gapped-marketplace
vllm의 스킬
- vllm-benchmarkingair-gapped/skills
Run production-grade benchmarks for vLLM to measure latency, throughput, and SLO compliance using various subcommands and methodologies.
11개 파일6스타 - vllm-configurationair-gapped/skills
Configure vLLM deployment settings via YAML, CLI arguments, and environment variables, including specialized setups for air-gapped environments.
12개 파일6스타 - vllm-deploymentair-gapped/skills
Helps agents author, review, and fix vLLM deployment manifests for Kubernetes, Docker, and OpenShift, including multi-node and MoE configurations.
18개 파일6스타 - vllm-gemma-4-31bair-gapped/skills
Provides optimized deployment configurations and performance benchmarks for serving Gemma 4 31B on vLLM hardware.
8개 파일6스타 - vllm-observabilityair-gapped/skills
Monitor and troubleshoot production vLLM deployments using Prometheus metrics, Grafana dashboards, and OTLP tracing.
9개 파일6스타 - vllm-quantizationair-gapped/skills
Configures and troubleshoots GPU quantization formats and KV-cache dtypes for high-performance LLM serving on NVIDIA and AMD hardware.
13개 파일6스타 - vllm-speculative-decodingair-gapped/skills
Configure, tune, and monitor speculative decoding methods in vLLM production environments to improve inference throughput.
15개 파일6스타 - vllm-cachingair-gapped/skills
Configures tiered KV cache offloading for vLLM production clusters using CPU, NVMe, and RDMA backends.
8개 파일6스타 - vllm-chat-templatesair-gapped/skills
Provides a reference for managing Jinja-based chat templates, resolution precedence, and troubleshooting prompt-rendering issues in vLLM deployments.
10개 파일6스타 - vllm-input-modalitiesair-gapped/skills
Configure and deploy non-chat inference endpoints for text embeddings, reranking, speech-to-text, and document OCR using vLLM.
11개 파일6스타 - 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.
12개 파일6스타 - vllm-omniair-gapped/skills
Extends vLLM to support multimodal generation for images, video, audio, and any-to-any omni models via a plugin layer.
9개 파일6스타 - vllm-performance-tuningair-gapped/skills
Optimizes vLLM performance through MoE kernel autotuning, parallelism configuration, scheduler knob adjustment, and distributed system tuning.
8개 파일6스타 - vllm-reasoning-parsersair-gapped/skills
Enables agents to split model output into distinct reasoning and content fields using specialized parsers for thinking models.
10개 파일6스타 - vllm-tool-parsersair-gapped/skills
Provides a navigation map for selecting, configuring, and debugging tool-calling parsers within vLLM deployments.
9개 파일6스타
vllm 플러그인 질문
vllm 플러그인은 어떻게 설치하나요?
Claude Code에서 /plugin marketplace add air-gapped/skills를 실행한 다음 /plugin install vllm@air-gapped-marketplace을 실행하십시오.
vllm 플러그인에는 무엇이 포함되나요?
vllm은(는) 15개 스킬을(를) 묶습니다.
vllm 플러그인을 어떻게 업데이트하거나 삭제하나요?
shell에서 claude plugin update vllm@air-gapped-marketplace를 사용하여 업데이트하거나 /plugin의 Installed 탭에서 수행하세요. 삭제하려면 /plugin uninstall vllm@air-gapped-marketplace을 사용하세요.
vllm 플러그인의 라이선스는 무엇인가요?
플러그인 manifest에 명시된 대로 MIT입니다.