NVIDIA-AI-IOT/jetson-device-skills
Skill Claude CodeCodex
Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes.
Foundational Agent Skills for NVIDIA Jetson Device
NVIDIA-AI-IOT/jetson-device-skills
Skill Claude CodeCodex
Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes.
NVIDIA-AI-IOT/jetson-device-skills
Skill Claude CodeCodex
Plan and apply safe Jetson headless-mode changes to reclaim GUI and daemon memory.
NVIDIA-AI-IOT/jetson-device-skills
Skill Claude CodeCodex
Pick the serving stack and per-runtime memory flags (vLLM, SGLang, llama.cpp, TensorRT Edge-LLM) for an LLM/VLM workload on any NVIDIA Jetson.
NVIDIA-AI-IOT/jetson-device-skills
Skill Claude CodeCodex
Benchmark Jetson LLM/VLM serving performance across vLLM, llama.cpp, and Ollama with structured JSON output.
NVIDIA-AI-IOT/jetson-device-skills
Skill Claude CodeCodex
Stand up vLLM or SGLang serving on Jetson, using upstream vLLM on Thor and Orin JetPack 7.2+, and NVIDIA-AI-IOT vLLM on older Orin.
NVIDIA-AI-IOT/jetson-device-skills
Skill Claude CodeCodex
Measure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data.
NVIDIA-AI-IOT/jetson-device-skills
Skill Claude CodeCodex
Pick Jetson-compatible containers, vLLM runtime images, and Jetson AI Lab PyPI indexes; maps Orin SM 8.7 vs Thor SM 11.0 and JetPack-specific package choices.
NVIDIA-AI-IOT/jetson-device-skills
Skill Claude CodeCodex
Use when you need to print Jetson device info (module model, L4T version, kernel, OS version, current power mode) from a running Jetson target. This is an example skill.
NVIDIA-AI-IOT/jetson-device-skills
Skill Claude CodeCodex
Add EAGLE-3 or draft-model speculative decoding to a Jetson vLLM server when TPOT is the bottleneck.
NVIDIA-AI-IOT/jetson-device-skills
Skill Claude CodeCodex
Use when measuring Jetson Video Codec SDK or PyNvVideoCodec encode/decode throughput, comparing presets or surfaces, testing codec-worker capacity with authenticated samples and user media, or producing a clearly labeled documentation-derived planning estimate when representative media is absent. Also use for a video…
NVIDIA-AI-IOT/jetson-device-skills
Skill Claude CodeCodex
Use when Jetson codec, profile, chroma, bit-depth, dimension, engine-count, or operational support must be reconciled from live APIs, authenticated NVIDIA samples, and NVIDIA documentation; also applies the content-DRM scope.
NVIDIA-AI-IOT/jetson-device-skills
Skill Claude CodeCodex
Use when planning, executing, and independently validating Jetson Video Codec SDK or PyNvVideoCodec encode/decode, transcode, segmentation, container decode, AV1, or concise acceptance workflows.
NVIDIA-AI-IOT/jetson-device-skills
Skill Claude CodeCodex
Use when turning a Jetson encoder use case into one surface-neutral recipe with native Video Codec SDK and PyNvVideoCodec projections.
NVIDIA-AI-IOT/jetson-device-skills
Skill Claude CodeCodex
Use when installing, repairing, reusing, inspecting, or verifying readiness of the native NVIDIA Video Codec SDK or PyNvVideoCodec on Jetson, including the one-frame encode/decode smoke test with official samples, and when interpreting what those readiness results, including CPU-buffer and device-memory sample modes…
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: