Agent skill · nvidia
tao-run-deft-cr-its-mining
Run the mining-based DEFT improvement workflow for ITS Cosmos-Reason binary video questions, focused on the non-reasoning classification/evaluation path. Use when the user asks for a DEFT CR ITS mining workflow, traffic-camera Cosmos Reason improvement loop, collision-identification workflow with data mining, or iterative Cosmos-RL refinement driven by gap analysis.
What it needs
About 10k tokens when loaded.
What this skill does
Skill: TAO Run DEFT CR ITS Mining Prerequisites Before preflight, follow references/host-prerequisites.md; use its selected DEFTPYTHON for every bundled helper and stop if the dependency probe fails. Bundled Resources Resolve DEFTSKILLROOT to the absolute directory containing this installed SKILL.md. The agent or plugin runtime resolves this path; it is not a user input. Invoke bundled helpers with "$DEFTPYTHON" "$DEFTSKILLROOT/scripts/<name>.py" .... Never require a skill-bank checkout or change the user's working directory to a repository root. This workflow invokes tao-finetune-cosmos-embed, tao-analyze-gaps-vlm-bcq, tao-mine-nearest-neighbors, and the selected platform skill by registered skill name. Those skills own their credentials, actions, and bundled assets. Cosmos Reason is workflow-owned: resolve images.taotoolkit.deftcosmosreason, generate TOMLs with this workflow's helpers and configured base templates, and submit the exact train/evaluate commands in references/mining-loop.md through the selected platform. The baseline-preparation stage reuses only tao-finetune-cosmos-reason's packaged Omni-to-Qwen3-VL conversion helper; do not invoke that model skill for planning, templates, action bundles, train/evaluate commands, or hook resolution. User Inputs (DEFT Workspace and Workflow Configuration Yaml) The user should provide a DEFT workspace absolute path that will be used for the entire run. This path should not be /workspace because that conflicts with the Cosmos Reason skills. The layout of the DEFT workspace should be as follows: Path Purpose --- --- <deftworkspace>/data/ User-provided KPI and training datasets, including LLaVA annotations and media directories. <deftworkspace>/hfcache/ Persistent Hugging Face cache used when workflow steps download or reuse HF models. <deftworkspace>/model/ Local model/checkpoint inputs for the workflow, including the baseline Cosmos Reason checkpoint and any user-provided Cosmos Embed checkpoint. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills nvidia/tao-run-deft-cr-its-mining