Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
日本語の概要は準備中です。原文の説明を表示しています。
Plan NVIDIA Parabricks pbrun commands, translate CPU options and check runtime readiness. Use for individual tools, including planning-only questions.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Use this skill to discover the right NVIDIA Parabricks pbrun command, assess
runtime readiness, and generate version-aware command guidance for individual
tools.
Do not use this skill for whole-workflow inspection, acceleration planning,
or wiring optional GPU branches. For pipeline-level work, use
genomics-workflow-acceleration.
pbrun tool fits the user's data and goalpbrun tool (for
example reference/index compatibility, output naming, or flag validity). Use
this skill's references to answer; do not skip it because nothing will be
executed.timeout (or gtimeout)
on the host being inspected. Missing runtime components are reported as
readiness gaps; without a timeout utility it exits before running probes.nvcr.io.
See runtime-environment.md for
version-specific requirements and checks.Tool scope: read this skill's references and user-supplied manifests; write only
requested command artifacts. Use the bundled helpers for translation or an
authorized host inspection. Documentation lookups use docs.nvidia.com; image
access uses the selected registry only for authorized container execution.
These instructions do not grant tool permissions; the host's permission policy
still applies to shell, file, network and optional documentation MCP access.
Use the user's explicit arguments and supplied manifests as the source of truth; use prior context only where it does not conflict. Read a named manifest before translating it. For command guidance, identify the assay, input paths, reference/index provenance, outputs and target release. Ask only for missing facts that change the answer; label unresolved template values as placeholders. Required inputs are the selected tool's read/reference and output arguments. Optional inputs include intervals, resource bundles, logs and tuning parameters when supported by that tool; do not invent them to fill a template. Runtime-only questions do not need sample metadata. Supplied deployment paths are not permission to probe local data or hardware.
If the user is unsure which tool applies, scan the Tool Reference Index
below, then load the matching references/pbrun-<tool>.md file.
This skill routes and guides Parabricks commands. It does not install Parabricks, infer missing sample metadata, guarantee output parity, provide clinical interpretation, or promise exact runtime without benchmark data.
4.7.1-1. Preserve the user's verified
image selection; use command-conventions.md
for the shared launch and validation contract.references/pbrun-<tool>.md. Read it
before any web search or MCP lookup; use those only to verify
version-sensitive details the reference does not settle.Run these from the skill directory containing this file; paths are relative to that directory. See the helper prerequisites above.
| Script | Purpose | Arguments |
|---|---|---|
scripts/check_parabricks_runtime.sh | Inspect the execution host; report gaps without installing anything | --path DIR (repeatable), --format text|json, --timeout SECONDS; container probes require --run-container-check or --run-parabricks-check with --parabricks-version TAG / --parabricks-image IMAGE |
scripts/translate_star_to_parabricks.py | Convert explicit STAR argument arrays to reviewed command drafts | --input FILE or --input -; request and output schema |
For explanations, give the decision, complete command, and remaining checks.
For file requests, write the specified path and schema, then read back and
validate the artifact against the input manifest. Report all job IDs, omitted
options and unresolved output contracts. Do not replace supplied values with
illustrative examples. The runtime helper's JSON has schema_version, checks
and readiness results; the translator emits status, draft_argv, command,
notes, issues and untranslated for each request.
If the command is named, open references/pbrun-<command>.md directly.
For tool selection and official manual links, use tool-index.md.
Common routes:
| Request | Reference |
|---|---|
| DNA FASTQ alignment / RNA STAR translation | fq2bam / rna_fq2bam |
| Existing BAM germline calls / tumor-normal calls | haplotypecaller / mutectcaller |
| Giraffe graph alignment | giraffe |
| STAR-Fusion migration | starfusion |
| Recalibration / apply a recalibration report | bqsr / applybqsr |
| BAM metrics / multiple metric families | bammetrics / collectmultiplemetrics |
| GVCF indexing / joint genotyping | indexgvcf / genotypegvcf |
| Panel-of-normals preparation / annotation | prepon / postpon |
| BWA performance options | performance |
For GPU, driver, Docker, container, storage, or installation questions, read runtime-environment.md and prefer:
bash scripts/check_parabricks_runtime.sh --format json
Add --path <dir> for known input/output/tmp paths. Run container probes only
with user consent.
python3 scripts/translate_star_to_parabricks.py --input requests.json
Prepare the request using the translation schema.
Review issues and untranslated before using the draft. Tool references show
the pbrun portion; the shared container envelope is documented once in
command-conventions.md.
| Error | Cause | Solution |
|---|---|---|
| Multiple plausible tools | Data type or goal underspecified | Ask for assay, inputs, caller preference, desired output; use Tool Reference Index |
| Exact flag requested | Options are version-sensitive | Check the selected tool reference, NVIDIA docs, or pbrun <tool> --help |
| Runtime question | GPU, Docker, drivers, or storage | Use runtime-environment reference and diagnostic script |
| Wrong tool family | Assay or input type unclear | Confirm DNA/RNA/methylation/long-read/pangenome before routing |
| CUDA or memory failure | Runtime not ready or GPU memory constrained | Assess runtime before tuning command flags |
| Documentation MCP unavailable | Connection, timeout or server error | Use the bundled release reference first; for an unresolved fact, fall back to the official versioned manual and mark any remaining uncertainty |
fq2bam for RNA, or germline for somatic callers.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
日本語の概要は準備中です。原文の説明を表示しています。
Customize NVIDIA Nemotron Voice Agent's Generic Pipecat example for healthcare appointment, five-field patient intake, or custom tool-calling workflows without a separate backend.
日本語の概要は準備中です。原文の説明を表示しています。
Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP URLs or asks to calibrate live cameras; VIOS records clips, AMC ingests them, then runs calibration.
日本語の概要は準備中です。原文の説明を表示しています。
Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.
日本語の概要は準備中です。原文の説明を表示しています。
Calibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to `amc-run-rtsp-calibration`.
日本語の概要は準備中です。原文の説明を表示しています。
Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.
日本語の概要は準備中です。原文の説明を表示しています。