NVIDIA skills collection

Jetson Memory Audit

Measure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data.

Jetson Optimize Memory

Reclaim DRAM by disabling unused subsystems across MB1 BCT, MB2 BCT, kernel reserved-memory, and SWIOTLB. Use for headless or no-camera Jetson deployments; not for CPU/GPU frequency tuning.

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.

Jetson Print Bsp Info

Guidance for tasks where you need to print Jetson BSP info (L4T version, board configs, rootfs state) from a LinuxforTegra root on the host PC. This is an example skill.

Jetson Print Device Info

Guidance for tasks where 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.

Jetson Promote Image

Use to promote overlay files and built artifacts into the staged BSP image. Do NOT use to flash or build.

Jetson Quick Start

Entry skill for Jetson / IGX BSP customization. Asks one core click-to-select setup questionnaire and passes prefilled answers to downstream setup skills.

Jetson Set Target

Switch the active Jetson target-platform pointer to an existing profile YAML. Use before customize/build/flash to change target; not for authoring profiles — use jetson-init-target instead.

Jetson Speculative Decoding

Add EAGLE-3 or draft-model speculative decoding to a Jetson vLLM server when TPOT is the bottleneck.

Jetson Validate Image

Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps.

Jetson Video Benchmark

Guidance for tasks where 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…

Jetson Video Capability

Guidance for tasks where Jetson codec, profile, chroma, bit-depth, dimension, engine-count, or operational support

Jetson Video Pipeline

Guidance for tasks where planning, executing, and independently validating Jetson Video Codec SDK or PyNvVideoCodec encode/decode, transcode, segmentation, container decode, AV1, or concise acceptance workflows.

Jetson Video Recipe

Guidance for tasks where turning a Jetson encoder use case into one surface-neutral recipe with native Video Codec SDK and PyNvVideoCodec projections.

Jetson Video Setup

Guidance for tasks where 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…

Kermt Add Cmim Pretrain

Convert a groverbase checkpoint (encoder-only or encoder + vocab heads) into a hybrid checkpoint by adding a randomly-initialized cMIM decoder + latentdist, then continue pretraining on the user's corpus as hybrid (vocab + contrast).…

Kermt Continue Pretrain

Continue KERMT pretraining on a custom SMILES corpus with a groverbase, cmim, or hybrid checkpoint. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HFTOKEN if configured. Run containerized training…

Kermt Embed

Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HFTOKEN if configured. Run containerized embedding extraction and write…

Kermt Finetune

Finetune a pretrained KERMT encoder on a labeled CSV. Validate the checkpoint and data, prepare features, and run containerized training. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HFTOKEN if…

Kermt Infer

Run predictions with a finetuned KERMT checkpoint on a SMILES-only CSV. The skill validates that the input ckpt has task FFN heads (refuses pretrain ckpts with a redirect to kermt-finetune), validates the CSV, prepares the data (clean +…