Individual skill

tao-data-io

The data-mover for TAO jobs — decides the storage tier (A pre-positioned mount with zero fetch / B volume-from-S3 / C ephemeral in-compute fetch), stages inputs (bulk + annotation-selective + archive extract + HF/NGC PTM), maps credentials to env, routes outputs 3-way with upload-excludes, and runs the compute-frame verify gate. A support skill other platform skills (docker, kubernetes, slurm, brev, virtualenv) call to get data to and from the compute container without the TAO SDK. Trigger phrases include "stage inputs", "mount the dataset", "upload TAO results", "download only referenced files", "resolve results_dir", "verify the container can read the data".

skills/tao-data-io/SKILL.md

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Last checked
Nov 2, 2026

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Repository last updated
Nov 6, 2026
License
Apache-2.0

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# tao-data-io

Get data to and from the compute container. Decide the storage tier first —
under **strategy A (pre-positioned mount) no bytes move at all** — and when a
fetch is needed, move it **host-side** with `aws`/`s5cmd`/`boto3`/`huggingface-cli`/`ngc`
directly — no `nvidia-tao-sdk`, no in-container runtime. Other platform skills
call this skill to stage inputs before launch and sync outputs after. It never
launches a container itself. The chosen tier is stamped into the job-record at
submit.

**When NOT to invoke this skill:** if the inputs are already readable from the
compute frame (a local path on the execution host, an existing Lustre/PVC/bind
mount), that IS tier A — record it and skip this skill entirely; there is
nothing to move. **Air-gapped hosts:** tier A is the *only* tier — never