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Place downloadable tutorial scripts under public/code-samples/ and link them from tutorial pages. Use when adding, moving, or linking downloadable scripts, assets, or code files for Jetson AI Lab tutorials.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Run npm run build on jetson-ai-lab and triage Astro content collection / MDX / model frontmatter / benchmarks.json failures after edits. Use when verifying the site builds after content, model, tutorial, benchmark, or asset changes.
Configure Jetson AI Lab model pages — frontmatter for the Model Details sidebar (parameters, modalities, context length, license, precision pills), the Run on Jetson serve/call/one-shot UI, the three "block" levers (hide_run_button, matrix_modules_disabled, per-engine modules_supported), and the join to src/data/benchmarks.json (benchmark_key, benchmark_series, OOM vs DNR vs null). Use when adding or editing model pages, inference engines, serve/run commands, one-shot blocks, the details sidebar, benchmark wiring, or deciding whether to mark a Jetson module as OOM, blocked, or simply untested.
| name | jetson-ai-lab-code-samples |
| description | Place downloadable tutorial scripts under public/code-samples/ and link them from tutorial pages. Use when adding, moving, or linking downloadable scripts, assets, or code files for Jetson AI Lab tutorials. |
| license | Apache-2.0 |
| compatibility | Requires Node.js and npm for optional build verification. |
public/code-samples/Runnable Python, shell, and other assets that users download or curl from tutorials must live under the repoΓÇÖs static asset tree:
public/code-samples/<topic-folder>/
Astro copies public/ to the site root, so these files are served at:
https://www.jetson-ai-lab.com/code-samples/<topic-folder>/<file>
(path /code-samples/... on the deployed site).
Do not use a folder named code-sample (singular) or skip public/ for files meant to be fetched by users from the live site.
Group files by tutorial or feature area (kebab-case folder names, consistent with the repo today):
| Folder | Example files |
|---|---|
public/code-samples/finetune/ | full_sft_finetuning.py, lora_finetuning.py, qlora_finetuning.py |
public/code-samples/openclaw-orin-nano/ | setup-openclaw-orin-nano.py, endurance-test.py, multi-agent-debate.py |
public/code-samples/openpi_on_thor/ | download.sh, build_engine.sh, pytorch_to_onnx.py, Dockerfiles, etc. |
List the current tree with your OS or git ls-files public/code-samples before adding new paths.
Add new scripts or small assets under the appropriate public/code-samples/<topic>/ directory (create the directory if it is new).
Reference them from tutorial MD/MDX using either:
https://www.jetson-ai-lab.com/code-samples/<topic>/<filename>src/content/tutorials/model-optimization/finetune-on-jetson.mdx (wget lines for full_sft_finetuning.py, etc.).curl | bash or pipe-to-python):https://raw.githubusercontent.com/NVIDIA-AI-IOT/jetson-ai-lab/main/public/code-samples/<topic>/<filename>src/content/tutorials/applications/openclaw.md, src/content/tutorials/vla/openpi_on_thor.md.Prefer keeping long scripts in public/code-samples/ and linking themΓÇöavoid embedding huge scripts only inside MDX unless there is a strong reason.
src/ alone (they would not be served at /code-samples/... unless additionally copied to public/).static/code-sample/ for this siteΓÇÖs conventions.After adding or moving files under public/code-samples/:
npm run build from the repository root (see skill jetson-ai-lab-verify-build)./code-samples/<topic>/<file> locally to confirm the file is served.| Item | Path |
|---|---|
| Asset root | public/code-samples/ |
| Finetune tutorial links | src/content/tutorials/model-optimization/finetune-on-jetson.mdx (~lines 107ΓÇô110 for wget URLs) |
| OpenClaw raw GitHub links | src/content/tutorials/applications/openclaw.md |
| OpenPI Thor links | src/content/tutorials/vla/openpi_on_thor.md |