Updated 3w ago
by NVIDIA-AI-IOT
jetson-device-skills
Foundational Agent Skills for NVIDIA Jetson Device
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- 14 skills (14 skills found in its SKILL.md files)
- 29 forks (29 forks)
- 3w ago last update (Last updated 3w ago)
Install
Skills CLI
npx skills add NVIDIA-AI-IOT/jetson-device-skills
Asks which skills and agents to install. Just one: npx skills add NVIDIA-AI-IOT/jetson-device-skills --skill jetson-diagnostic — add -g for every project.
Claude Code
git clone https://github.com/NVIDIA-AI-IOT/jetson-device-skillscp -r "jetson-device-skills/skills/jetson-diagnostic" ~/.claude/skills/
Copies the jetson-diagnostic skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add NVIDIA-AI-IOT/jetson-device-skills
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
-
jetson-diagnostic
Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes.
skills/jetson-diagnostic/SKILL.md on GitHub (opens in a new tab) -
jetson-headless-mode
Plan and apply safe Jetson headless-mode changes to reclaim GUI and daemon memory.
skills/jetson-headless-mode/SKILL.md on GitHub (opens in a new tab) -
jetson-inference-mem-tune
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.
skills/jetson-inference-mem-tune/SKILL.md on GitHub (opens in a new tab) -
jetson-llm-benchmark
Benchmark Jetson LLM/VLM serving performance across vLLM, llama.cpp, and Ollama with structured JSON output.
skills/jetson-llm-benchmark/SKILL.md on GitHub (opens in a new tab) -
jetson-llm-serve
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.
skills/jetson-llm-serve/SKILL.md on GitHub (opens in a new tab) -
jetson-memory-audit
Measure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data.
skills/jetson-memory-audit/SKILL.md on GitHub (opens in a new tab) -
jetson-package
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.
skills/jetson-package/SKILL.md on GitHub (opens in a new tab) -
jetson-print-device-info
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.
skills/jetson-print-device-info/SKILL.md on GitHub (opens in a new tab) -
jetson-speculative-decoding
Add EAGLE-3 or draft-model speculative decoding to a Jetson vLLM server when TPOT is the bottleneck.
skills/jetson-speculative-decoding/SKILL.md on GitHub (opens in a new tab) -
jetson-video-benchmark
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 request limited to PSNR or SSIM, to apply the terminal scope response.
skills/jetson-video-benchmark/SKILL.md on GitHub (opens in a new tab) -
jetson-video-capability
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.
skills/jetson-video-capability/SKILL.md on GitHub (opens in a new tab) -
jetson-video-pipeline
Use when planning, executing, and independently validating Jetson Video Codec SDK or PyNvVideoCodec encode/decode, transcode, segmentation, container decode, AV1, or concise acceptance workflows.
skills/jetson-video-pipeline/SKILL.md on GitHub (opens in a new tab) -
jetson-video-recipe
Use when turning a Jetson encoder use case into one surface-neutral recipe with native Video Codec SDK and PyNvVideoCodec projections.
skills/jetson-video-recipe/SKILL.md on GitHub (opens in a new tab) -
jetson-video-setup
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, do and do not establish.
skills/jetson-video-setup/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.
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