Graphsignal
graphsignal/graphsignal
Profile AI inference workloads (vLLM, SGLang, TensorRT-LLM, PyTorch, any GPU application) with the Graphsignal profiler and read the results from its local /signals JSON endpoint.
Download NVIDIA Jetson Linux BSP artifacts (BSP tarball, sample rootfs, publicsources, x-tools, guides) for the active target.
$ npx skills add NVIDIA/skills --skill jetson-download-bsp -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills jetson-download-bsp --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/jetson-download-bsp .claude/skills/jetson-download-bsp && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "jetson-download-bsp" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/jetson-download-bsp into .claude/skills/jetson-download-bsp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jetson-download-bsp", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NVIDIA/skills/tree/main/skills/jetson-download-bspType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NVIDIA/skills --skill jetson-download-bsp -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills jetson-download-bsp --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/jetson-download-bsp .agents/skills/jetson-download-bsp && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jetson-download-bsp" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/jetson-download-bsp into .agents/skills/jetson-download-bsp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jetson-download-bsp", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill jetson-download-bsp -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills jetson-download-bsp --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/jetson-download-bsp .cursor/skills/jetson-download-bsp && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "jetson-download-bsp" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/jetson-download-bsp into .cursor/skills/jetson-download-bsp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jetson-download-bsp", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NVIDIA/skills.git --path skills/jetson-download-bsp--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NVIDIA/skills --skill jetson-download-bsp -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills jetson-download-bsp --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/jetson-download-bsp .gemini/skills/jetson-download-bsp && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "jetson-download-bsp" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/jetson-download-bsp into .gemini/skills/jetson-download-bsp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jetson-download-bsp", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NVIDIA/skills jetson-download-bspInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NVIDIA/skills --skill jetson-download-bsp -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/jetson-download-bsp .github/skills/jetson-download-bsp && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "jetson-download-bsp" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/jetson-download-bsp into .github/skills/jetson-download-bsp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jetson-download-bsp", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill jetson-download-bsp -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/skills jetson-download-bsp --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/jetson-download-bsp .opencode/skills/jetson-download-bsp && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "jetson-download-bsp" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/jetson-download-bsp into .opencode/skills/jetson-download-bsp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jetson-download-bsp", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
jetson-download-bspDownload NVIDIA Jetson Linux BSP artifacts (BSP tarball, sample rootfs, publicsources, x-tools, guides) for the active target.
Jetson Download Bsp is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Download NVIDIA Jetson Linux BSP artifacts (BSP tarball, sample rootfs, publicsources, x-tools, guides) for the active target. Use for Auto Setup; not for extraction or profile edits.
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `BENCHMARK.md`, `evals/evals.json` and `skill-card.md`).
It sits in AI & LLM Engineering, covering GPU and accelerator computing. It works with NVIDIA AI Platform and Linux. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 14a98ae. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
docs.nvidia.comAlso links to:
developer.nvidia.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Jetson Download Bsp loads about 3k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 1,344 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from NVIDIA/skills at commit 14a98ae, republished under its Apache-2.0 licence (© NVIDIA). 1,344 words, ~2,951 tokens.
.claude/skills/jetson-download-bsp/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.jetson-download-bsp owns network fetches for the Auto Setup path.
It does not extract archives, initialize source trees, register documents,
or edit the active target profile. Those remain owned by
jetson-init-image, jetson-init-source, and jetson-link-docs.
/jetson-quick-start selected Auto Setup.Resolve the active profile per
../../context/target-platform-contract.md.
Refuse if no active profile exists.
Follow the shared
quick_start_prefill contract.
When invoked by /jetson-quick-start, this skill consumes
quick_start_prefill.mode and quick_start_prefill.download.bsp_release
as the requested release when present. Missing or invalid prefilled values
are not fatal, but a concrete release is required before any download
starts.
Use the workspace root as the parent of target-platform/. Place files
where downstream setup skills already search:
| Artifact | Destination |
|---|---|
| Jetson Linux BSP tarball | <bsp_image.root_path or workspace/Image>/Jetson_Linux_R<ver>_aarch64.tbz2 |
| Sample rootfs tarball | <bsp_image.root_path or workspace/Image>/Tegra_Linux_Sample-Root-Filesystem_R<ver>_aarch64.tbz2 |
public_sources.tbz2 | <workspace>/Downloads/public_sources.tbz2 |
x-tools.tbz2 | <workspace>/Downloads/x-tools.tbz2 |
| Developer Guide | <documents.root_path or workspace/Documents>/ |
| User Guide | <documents.root_path or workspace/Documents>/ |
Do not write bsp_image:, source:, or documents: blocks. The next
setup skills will register derived metadata after extraction or user
confirmation.
Fetch the release list from: https://developer.nvidia.com/embedded/jetson-linux-archive
From the archive and linked release pages, list concrete releases that
explicitly support the active platform. Let the user choose a concrete
Jetson Linux / L4T release token (R36.4.4, 36.4.4, 38.2,
38.2.1, 38.4, etc.); do not proceed with a family placeholder such
as R38.x. A concrete release token is an optional leading R followed
by two or three numeric dotted components. Preserve the token exactly as
the official page presents it; do not add .0, remove a patch component,
or otherwise normalize it. Sort release choices by dotted numeric order
descending (newest first), comparing the components that are present; keep
source-provided recommendations in descriptions.
Resolve quick_start_prefill.download.bsp_release as follows:
skip, blank, or a family placeholder (R38.x, 38.x): show
supported concrete releases and ask the user to choose one.Never auto-substitute the requested release with a supported release, even when there is only one supported option.
For unsupported or ambiguous prefill, ask with the shared
User input prompt style,
to choose exactly one click-to-select action:
pick_supported_release — user selects one supported concrete release.confirm_override — user confirms the incompatible release and enters
an override reason.cancel — stop with no downloads.Do not continue to "Locate release artifacts" until the selected release is concrete and supported, or the user explicitly confirms override. Record any override reason in the final summary. If the user cancels, stop with no downloads. Do not claim support unless the archive or linked release page explicitly lists the active platform.
For every artifact WebFetch in "Resolve target release" and "Locate release artifacts" (BSP, rootfs,
public_sources.tbz2, x-tools.tbz2, Developer Guide, User Guide),
try 3 attempts before marking it missing:
.html indexes.https://docs.nvidia.com/jetson/archives/r<ver>/.Only after all 3 fail, route to user-paste / skip. Never fabricate URLs.
Follow links from the selected release page. Never construct NVIDIA download URLs by string concatenation.
Required artifacts:
public_sources.tbz2.x-tools.tbz2 / Crosstool-NG Toolchain gcc matching the selected
BSP release.If a guide is not available as a direct file link, accept the release documentation URL as the artifact and record it in the final summary. If the toolchain is listed on a JetPack downloads page instead of the release page, follow the official page link and match the selected BSP release; do not synthesize the URL from a release number. Do not proceed until each required artifact is downloaded, already present at its destination, represented by a URL, or explicitly skipped by the user.
Before changing the workspace, print a plan with:
reference_devkit.name, optional
custom_carrier.name, and flash_config);curl.Default to Download all. Do not ask an extra confirmation when every required artifact is downloadable, already present for reuse, or a documentation URL to record. Print the plan and continue to disk-space verification.
Still stop and ask before side effects in any of these cases:
Sum Content-Length across artifacts to download (curl -sI <url>);
refuse if df -B1 --output=avail <workspace> headroom < sum × 1.2.
Skip URL-only artifacts.
Create destination directories as needed. For direct file links, use a
temporary .part path and rename only after success:
mkdir -p "<destination-dir>"
curl -fL --retry 3 --retry-all-errors --retry-delay 5 -o "<destination>.part" "<artifact-url>"
mv "<destination>.part" "<destination>"If a destination file already exists and is non-empty, reuse it by default after showing its path. Ask before overwriting. If an artifact download fails due to 404, 401/403, EULA/browser authentication, or a network error, stop and show the artifact URL plus expected destination path. Ask the user to download the file manually, skip that artifact, or cancel. Do not synthesize alternate NVIDIA URLs.
Before finishing, verify the BSP and rootfs tarball filenames contain
the exact R<ver> token from the official artifact URL or filename
discovered in Step 2. <ver> may have two or three numeric components
(R38.2, R38.2.1, R38.4, etc.). Do not infer R38.2.0 from
R38.2, and do not assume that a selected two-component release maps to
a three-component tarball name:
Jetson_Linux_R<ver>_aarch64.tbz2Tegra_Linux_Sample-Root-Filesystem_R<ver>_aarch64.tbz2Verify public_sources.tbz2 is a bzip2 tarball when it exists locally:
file -b "<workspace>/Downloads/public_sources.tbz2" | grep -q "bzip2 compressed"Verify x-tools.tbz2 the same way when it exists locally:
file -b "<workspace>/Downloads/x-tools.tbz2" | grep -q "bzip2 compressed"Warn, but do not fail, if document filenames differ from the release version; NVIDIA documentation naming is less consistent than tarballs.
Report the selected release, downloaded/reused/skipped artifacts, and exact local paths. Then hand back to the caller with:
/jetson-init-image/jetson-init-source/jetson-link-docsjetson-init-image and jetson-init-source.Downloads/, because
jetson-init-image searches the image root, workspace root, and
current directory.public_sources.tbz2 in Downloads/ because
jetson-init-source auto-discovers that path for Branch A.x-tools.tbz2 in Downloads/ because jetson-init-source
auto-extracts that path and writes the resulting source.toolchain
prefix.documents.bsp_user_guide in the profile
schema (alongside bsp_developer_guide). jetson-link-docs writes
it when the user confirms; this skill only stages the file or URL.Stage the four NVIDIA-shipped artifacts (BSP, sample rootfs,
public_sources, x-tools) plus the Developer / User Guides at the exact
paths the Setup skills look in, so /jetson-init-image,
/jetson-init-source, and /jetson-link-docs can run offline once
this skill is done.
../../context/target-platform-contract.md.developer.nvidia.com and the Jetson Linux archive
page.Image/, Source/,
Downloads/, and Documents/ roots (default workspace shape).apply_binaries.sh, mounts
sources, registers documents, or mutates the active profile./jetson-set-target.public_sources.tbz2 missing on archive — some releases ship it
as a separate page; follow the release-page link rather than
guessing the URL.© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files in skills/jetson-download-bsp of NVIDIA/skills.
Open the folder on GitHubat commit 14a98ae
Jetson Download Bsp next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Jetson Download Bsp this skillNVIDIA/skills | 3.6k | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Graphsignalgraphsignal/graphsignal | 257 | — | ~6.3k | Automated safety check: Pass | Apache-2.0 | |
| LLM Torch Profiler Trace AnalysisBBuf/AI-Infra-Auto-Driven-SKILLS | 938 | — | ~2.8k | Automated safety check: Pass | None | |
| Cv DeployLMIXR/CV_Deployment_skill | 188 | — | ~547 | Automated safety check: Pass | None | |
| TensorRT-LLM InferenceOrchestra-Research/AI-Research-SKILLs | 13k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Triton SkillslowlyC/agent-gpu-skills | 169 | — | ~1.3k | Automated safety check: Pass | MIT |
graphsignal/graphsignal
Profile AI inference workloads (vLLM, SGLang, TensorRT-LLM, PyTorch, any GPU application) with the Graphsignal profiler and read the results from its local /signals JSON endpoint.
BBuf/AI-Infra-Auto-Driven-SKILLS
Analyzes Torch Profiler traces from SGLang, vLLM and TensorRT-LLM servers into kernel attribution, overlap and fusion tables.
LMIXR/CV_Deployment_skill
基于 helpfile 工程经验,协助 agent 配置 CV 主机和边缘设备环境、编译视觉与推理依赖、接入摄像头视频并打包部署服务。适用于 Ubuntu、CentOS、Windows、macOS、Jetson、树莓派和 RK3399 的 CV 工程实施与故障排查,以及相关移动端配套工具;模型训练和纯算法设计不属于本技能主线。
Orchestra-Research/AI-Research-SKILLs
Optimizes and serves LLMs on NVIDIA GPUs with TensorRT-LLM, covering quantization, in-flight batching, multi-GPU parallelism and the trtllm-serve command.
slowlyC/agent-gpu-skills
Write, debug, and optimize Triton and Gluon GPU kernels from local upstream tutorials, production kernels, language definitions, and compiler source.
Orchestra-Research/AI-Research-SKILLs
Sets up large-scale LLM training with NVIDIA Megatron-Core, choosing tensor, pipeline, data, context and expert parallelism for a given model size and GPU count.
NVIDIA/skills
A skill your agent uses when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice.
NVIDIA/skills
Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything.
NVIDIA/skills
Runs and validates an end-to-end Mission Control demo in a locally installed Isaac Sim, with a Nova Carter robot driven through a Python server.
NVIDIA/skills
Orchestrates defect image generation for PCBA, metal surface and glass inspection with NVIDIA Cosmos AnomalyGen on OSMO, from cold-start Day 0 to real-photo Day 1 labeling.
NVIDIA/skills
Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.
NVIDIA/skills
Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV.
Works with
Categories
Download NVIDIA Jetson Linux BSP artifacts (BSP tarball, sample rootfs, publicsources, x-tools, guides) for the active target. Jetson Download Bsp is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Download NVIDIA Jetson Linux BSP artifacts (BSP tarball, sample rootfs, publicsources, x-tools, guides) for the active target.
Jetson Download Bsp fits situations like: not for extraction; tasks that involve GPU and accelerator computing.
Run `npx skills add NVIDIA/skills --skill jetson-download-bsp -a claude-code`. Or copy the skill folder (skills/jetson-download-bsp in NVIDIA/skills) into .claude/skills/jetson-download-bsp in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill jetson-download-bsp -a codex`. Or copy the skill folder (skills/jetson-download-bsp in NVIDIA/skills) into .agents/skills/jetson-download-bsp in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill jetson-download-bsp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jetson-download-bsp, .gemini/skills/jetson-download-bsp, .github/skills/jetson-download-bsp and .opencode/skills/jetson-download-bsp in your project.
Going by SKILL.md and its folder, Jetson Download Bsp needs the command-line tools its instructions call (curl).
SKILL.md names 2 domains. In commands or code: docs.nvidia.com; the agent is likely to contact it when it follows the instructions. As links in the text: developer.nvidia.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Jetson Download Bsp is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Jetson Download Bsp: Graphsignal (graphsignal/graphsignal, 257 stars), LLM Torch Profiler Trace Analysis (BBuf/AI-Infra-Auto-Driven-SKILLS, 938 stars), Cv Deploy (LMIXR/CV_Deployment_skill, 188 stars) and TensorRT-LLM Inference (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,555 GitHub stars. The repository holds 390 skills in this directory. The repository was last updated on October 9, 2026.
Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.