Agent 工作流

"Four-step image referring-expression pipeline: turns images plus KITTI bounding-box labels into region

tao-train-mask-auto-label

MAL (Mask Auto-Label) for weakly-supervised segmentation. Produces segmentation masks from minimal annotations

tao-train-single-step

Standard single-step train/eval/export workflow for any TAO model. Use when training a TAO model on a dataset

tao-train-rtdetr

RT-DETR (Real-Time DEtection TRansformer) for 2D object detection. Designed for real-time inference with

tao-validate-dataset-format

Run `tao-daft validate` to check NVIDIA TAO DAFT datasets for structure, schema, and cross-reference errors. Do

tao-train-mask-grounding-dino

Mask Grounding DINO for grounded instance segmentation. Extends Grounding DINO with a mask-prediction head for

tao-mine-aoi-images

Runs the DEFT embed-then-mine workflow for VCN AOI iterations — embeds the gap-analysis target parquet, embeds a source pool, and mines nearest-neighbour source images for downstream augmentation. Use as the immediate next step after `tao-route-visual-changenet-samples` when expanding a real-image augmentation queue from the mining subset.

tilegym-monkey-patch-kernels-to-transformers

Integrate TileGym kernels into Hugging Face `transformers` models by replacing the library's submodule(s) and certain class(es)' implementations, and patching certain class(es)' init/forward/load weight methods prior to instantiating models. Used when the user requires integrating TileGym kernels into `transformers` models.

tao-train-sparse4d

Sparse4D for multi-camera temporal 3D object detection and tracking. Uses sparse queries with deformable

tao-route-visual-changenet-samples

Routes the weakest VCN samples (output of `tao-analyze-gaps-visual-changenet`) into per-augmentation-module

tao-list-capabilities

Answer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests. Use when the user asks "what can TAO Skill Bank do", "list TAO models", "which TAO workflows are available", or "what supports AutoML".

tilegym-cutile-python

Expert cuTile programming assistant. Write high-performance GPU kernels using cuTile's tile-based programming model with proper validation and optimization. Supports deep agent orchestration for complex multi-kernel tasks.

tao-convert-dataset-format

Run `tao-daft convert` to convert NVIDIA TAO DAFT datasets between supported formats. Do not use for non-DAFT data.

tao-generate-image-grounding

"Two-step image grounding pipeline: extracts referring expressions from (image, caption) pairs and grounds them

tao-analyze-changenet-rca

Performs deep Root Cause Analysis (RCA) on NVIDIA TAO Visual ChangeNet classification experiments with

google-agents-cli-adk-code

google

tao-finetune-cosmos-reason

Cosmos3-Nano video QA supervised fine-tuning with FSDP parallelism. Use when training or evaluating video

hsb-flash

Flash the FPGA on an HSB board connected to an NVIDIA devkit. Supports HSB Lattice boards (FPGA versions 2407, 2412, 2507, 2510) and Leopard Imaging VB1940 "all-in-one" cameras (FPGA versions 2507, 2510). Uses release-specific YAML manifests and board-type-specific program commands. Lattice and VB1940 commands must never be mixed.

hsb-app

Discover and run Holoscan Sensor Bridge example applications on a connected devkit. Filters available apps by the user's platform, HSB software version, board type, and sensors. Supports timed execution, failure analysis, code-edit suggestions, and iterative re-runs.

alphaear-predictor

3Kagent-workflows

Market prediction skill using Kronos. Use when user needs finance market time-series forecasting or news-aware finance market adjustments.

rkiding

alphaear-signal-tracker

3Kagent-workflows

Track finance investment signal evolution and update logic based on new finance market information. Use when monitoring finance signals and determining if they are strengthened, weakened, or falsified.

rkiding