Agent skill · NVIDIA
tao-convert-dataset-format
Run `tao-daft convert` to convert NVIDIA TAO DAFT datasets between supported formats. Do not use for non-DAFT data.
What it needs
About 3k tokens when loaded.
What this skill does
Convert a TAO DAFT Dataset Standalone install? If this session was not initialized by the TAO skill bank plugin, run the tao-setup skill first (host preflight, credentials, cross-skill discovery). Quick start Source and target are positional subcommands; --path and --output are flags. Discover the supported formats and per-pair flags from the leaf --help (see "CLI conventions" below). Preflight Quick Start Discover the installed CLI surface before choosing format slugs, then run the leaf conversion command with explicit --path and --output flags: Purpose Drives tao-daft convert to transform a DAFT dataset (or a tree of them) between supported formats. The CLI does the real work; the skill picks the right source/target pair and flags, then explains the result. Trigger on: converting a DAFT dataset, packaging DAFT QA / summarization / temporal tasks for VLM training, producing a meta.json-style training set, or the command tao-daft convert. Do not trigger for non-DAFT → DAFT conversion (COCO, YOLO, Data Factory JSONL) — redirect to the upstream nvidia-tao-daft repo's converter skills. If the user opens ambiguously, run a few --help calls first. Prerequisites nvidia-tao-daft installed (wheel only, not the source repo). Confirm with tao-daft --version. A DAFT dataset, or a parent directory containing many, on local disk. Instructions CLI conventions tao-daft is nested argparse subcommands. The conventions below are stable across versions even when format names or flags change, so always discover the current surface from --help rather than relying on names this doc happens to mention. 1. Source and target are both positional subcommands, not --from/--to: tao-daft convert <source> <target> [flags]. Format slugs are versioned, lowercase, dot-separated (metropolis-v3.0, cosmos-reason-v1.0, ...). 2. Path and output are flags — --path PATH (source), --output OUTPUT (destination). Both required at the leaf; passing positionally fails. 3. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/tao-convert-dataset-format