Manage recipes, meal plans, and shopping lists on a Tandoor Recipe Manager instance via CLI.
Manage recipes, meal plans, and shopping lists in Tandoor Recipe Manager. Use when the user wants to create recipes, plan meals, search for recipes, or manage their shopping list.
Use when when preparing paired MS/MS spectra for training or validation of a siamese neural network model, and you have chemical structure annotations (InChI, SMILES, or InChIKey)…
Use when a task needs the judgment of a Tank Car, Truck, and Ship Loader — verifying bonding/grounding continuity before starting a flammable-liquid transfer, setting…
Tankstellen-Franchise und Handelsvertreter-Nähe rechtlich einordnen: Abgrenzung Kommissionsagentur vs. Franchise vs.
TanStack AI (alpha) provider-agnostic type-safe chat with streaming for OpenAI, Anthropic, Gemini, Ollama.
TanStack AI (alpha) provider-agnostic type-safe chat with streaming for OpenAI, Anthropic, Gemini, Ollama.
Auto-enforce cross-cutting TanStack conventions and import patterns. Activates on all TanStack development to ensure consistent project structure, imports, and integration…
Builds type-safe, accessible forms with TanStack Form, Base UI Field, and the useAppForm hook. Use when creating forms, adding validation, handling form submission, or working…
Find opportunities to improve web application code using TanStack libraries (Query, Table, Form, Router, etc.).
Manage server state in React with TanStack Query v5. Covers useMutationState, simplified optimistic updates, throwOnError, network mode (offline/PWA), and infiniteQueryOptions.
Expert in TanStack Query (React Query) — asynchronous state management. Covers data fetching, stale time configuration, mutations, optimistic updates, and Next.js App Router (SSR)…
Designing TanStack Query (React Query) v5 for server-state management — query key factories, staleTime vs gcTime, partial-match invalidation, optimistic updates with rollback,…
TanStack Router file-based routing patterns including route creation, navigation, loaders, type-safe routing, and lazy loading.
TanStack Router best practices for type-safe routing, data loading, search params, and navigation. Activate when building React applications with complex routing needs.
Build TanStack Table components using the meta field pattern for cell callbacks instead of closures. Use when creating data tables, implementing sorting, or adding inline editing.
TanStack Query 서버 상태 관리 가이드. useQuery, useMutation, queryKey 팩토리, Optimistic Update, Prefetching 등 서버 상태 관리 시 참조한다.
Für Tantieme jährlich abrechnen: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.
Extract false-positive and false-negative gaps from VLM binary-classification-question (BCQ, yes/no) predictions.
Run `tao-daft convert` to convert NVIDIA TAO DAFT datasets between supported formats. Do not use for non-DAFT data.
Skill này tạo RA CẢ ẢNH VÀ VĂN BẢN (full content) cho Facebook Page của Maison Gourmet. KHÔNG bao giờ chỉ tạo ảnh hoặc chỉ viết caption — output luôn là 1 cặp hoàn chỉnh.
CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX
Cosmos-Reason2-8B video QA supervised fine-tuning with FSDP parallelism. Use when training or evaluating video
Two-step image grounding pipeline: extracts referring expressions from (image, caption) pairs and grounds them
Four-step image referring-expression pipeline: turns images plus KITTI bounding-box labels into region
Shared launch intake for any TAO workflow or action. Use when the user wants to run TAO AutoML, train, evaluate, infer, export, generate TensorRT engines, or launch DEFT/workflow…
Quy tắc tạo NavMenu và TopMenu cho từng portal trong SASUCO InvoiceEasy, đảm bảo auto-discovery sơ đồ dự án hoạt động đúng.
Answer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests.
Tạo hoặc chỉnh sửa Master Page trong KetoanApp. Dùng DmPageHeader + DmSearchToolbar + DmTable + DmTablePagination + DmRowActions.
Runs the DEFT embed-then-mine workflow for VCN AOI iterations — embeds the gap-analysis target parquet, embeds
Routes the weakest VCN samples (output of `tao-analyze-gaps-visual-changenet`) into per-augmentation-module
Run AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner. Handles algorithm
Run the canonical NVIDIA AOI three-phase training pipeline — Phase 1 AutoML baseline (HPO), Phase 2 DEFT loop (RCA → SDG → mining → plain-train retrain), Phase 3 AutoML refinement…
DGX Cloud Lepton managed GPU compute platform with run/status/cancel interface. Use when submitting TAO jobs
Remote SLURM GPU cluster execution over SSH with sbatch/srun, Pyxis/Enroot containers, and Lustre-backed
TAO Execution SDK for submitting and monitoring GPU training jobs on supported platforms (Lepton, Brev, SLURM,
Action recognition from video sequences. Supports RGB, optical flow, and joint (multi-stream) input types for
BEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view
CenterPose for keypoint / pose estimation. Detects object centers and regresses keypoint locations for 6-DoF
Deformable DETR for 2D object detection. Uses deformable attention for efficient multi-scale feature processing,
DINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection. Transformer-based detector with
Real-time stereo depth estimation using FastFoundationStereo (FFS), the distilled bp2 commercial variant of
Stereo depth estimation using FoundationStereo. Predicts disparity maps from stereo image pairs for 3D
Grounding DINO for open-set object detection. Combines DINO-style detection with a BERT text encoder for
PyTorch-based TAO image classification. Supports a wide range of backbones (FAN, EfficientNet, ResNet, etc.)
Masked Auto-Encoder (MAE) for self-supervised pretraining and fine-tuning. Masks random patches and reconstructs
MAL (Mask Auto-Label) for weakly-supervised segmentation. Produces segmentation masks from minimal annotations
Mask Grounding DINO for grounded instance segmentation. Extends Grounding DINO with a mask-prediction head for
Mask2Former for universal image segmentation (panoptic, instance, and semantic). Transformer-based with
Metric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings for
NVDINOv2 for self-supervised visual representation learning. Trains vision transformers via self-distillation
NVPanoptix3D for panoptic 3D scene reconstruction from posed RGB images. Produces 3D panoptic segmentation
OCDNet for scene text detection. Detects arbitrary-oriented text regions in natural images using a
OCRNet for scene text recognition. Recognizes text content from cropped text-region images and supports CTC
OneFormer for universal image segmentation. Unifies panoptic, instance, and semantic segmentation with a
Optical Inspection for defect detection using Siamese networks. Compares image pairs to detect manufacturing
PointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a
Pose classification using ST-GCN (Spatial Temporal Graph Convolutional Network). Classifies skeleton sequences
Person re-identification (ReID). Learns discriminative embeddings to match the same person across different
RT-DETR (Real-Time DEtection TRansformer) for 2D object detection. Designed for real-time inference with