MCP App StoreMCP App StoreThis skill implements a strict operational standard for managing local inference runtimes. It enforces a canonical directory structure, requires provenance tracking via manifests, and mandates smoke testing before any runtime is promoted to 'current' status.
Use this skill when installing new LLM inference engines, updating existing toolchains, or preparing a reproducible environment for benchmarking model performance.
manifest.json (tracking versions, hardware, and source) and profiles (model-specific serve flags).Suitable for technical agents managing HPC or AI research workstations, particularly those integrating with benchmark toolchains.
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vLLM-Omni Video Generation
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vLLM Qwen3.6 Optimization
Guidance and PR-driven validation steps for optimizing and documenting Qwen3.6 support in vLLM; use when auditing or implementing model-specific changes.
MCP Server Management
Install, configure, and manage Model Context Protocol (MCP) servers for Claude Code, including runtime enable/disable, OAuth remote servers, and dynamic tool di