Trusted skills for AI agents from official vendors and established maintainers. Every skill is attributed to its author, scanned, and comes with install steps for your AI tool.
292 skills
NVIDIAOfficial
Automated end-to-end calibration validation for the AutoMagicCalib microservice using a provided sample dataset.
NVIDIAOfficial
Automated optimization campaign runner for NVFLARE federated learning jobs.
NVIDIAOfficial
Generate reproducible reports and summaries for completed NVFLARE Auto-FL campaigns.
NVIDIAOfficial
Validate Isaac for Healthcare workflows by executing simulator rollouts and verifying episode success.
NVIDIAOfficial
Performance benchmarking CLI for NVIDIA RAG Blueprint servers using config-driven profiling and load testing.
NVIDIAOfficial
Provides guidance on using the doca_caps CLI to inspect DOCA hardware, library availability, and device capabilities.
NVIDIAOfficial
Performs deep, image-evidence-driven root cause analysis for NVIDIA TAO Visual ChangeNet classification experiments.
NVIDIAOfficial
Routes Visual ChangeNet gap analysis samples into specific augmentation modules based on label eligibility.
NVIDIAOfficial
Automated build and verification workflow for NVIDIA PVA operators on Tegra hardware.
NVIDIAOfficial
Automate camera calibration by recording and processing live RTSP streams via the AutoMagicCalib REST API.
NVIDIAOfficial
A systematic methodology for porting and validating computer vision research code on custom datasets.
NVIDIAOfficial
Validates Jetson BSP images through static disk checks and on-target system testing.
NVIDIAOfficial
Evaluate RAG pipeline quality using filesystem-based benchmarks and RAGAS metrics.
NVIDIAOfficial
Automated hyperparameter optimization for NVIDIA TAO networks using AutoMLRunner.
NVIDIAOfficial
Setup and repair the FoundationPose perception pipeline and its associated TensorRT depth engines.
NVIDIAOfficial
Automates the triage of failing GitHub Actions jobs into structured bug reports.
NVIDIAOfficial
Prepare and validate object-detection false-negative data for AnomalyGenNext generation workflows.
NVIDIAOfficial
Visual ChangeNet for binary image classification and segmentation in AOI defect detection. Use when training, evaluating, exporting, or running inference for PCB defect detection or visual inspection, comparing image pairs for PASS/NO_PASS classification, or producing change-segmentation masks. Trigger phrases include "train Visual ChangeNet", "ChangeNet classify", "ChangeNet segment", "AOI defect detection", "PCB inspection model".
NVIDIAOfficial
Manage the end-to-end lifecycle of TAO Sparse4D 3D detection and tracking models.
NVIDIAOfficial
Run the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection models: baseline evaluate, RCA, Cosmos AnomalyGen / AMP synthetic defects, k-NN mining, retraining, and deployment gating against a customer-defined primary metric and optional constraints. Use only when the request identifies an AOI / automated-optical-inspection, PCB-defect, VisualChangeNet, or ChangeNet workflow. Supports air-gapped/offline runs with pre-staged assets. Never infer AOI from generic iterative-improvement language. Do not use for CLIP / SigLIP image retrieval, attribute-labelled image data, standalone TAO training, one-off inference, generic anomaly generation, or RCA-only analysis.
NVIDIAOfficial
Diagnose and resolve incorrect gradients in differentiable NVIDIA Warp programs using systematic verification and taping pattern analysis.
NVIDIAOfficial
Automates an iterative smart-data-augmentation loop for NVIDIA TAO Grounding DINO object detection models.
NVIDIAOfficial
Analyze VLM binary classification predictions to identify and report false-positive and false-negative failure cases.
NVIDIAOfficial
Manage the lifecycle of DINO transformer-based 2D object detection models within the TAO ecosystem.