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# Skill 仓库 描述 安装量
7651 tao-run-deft-aoi nvidia/skills
Skill: tao-run-deft-aoi When to Use This Skill Use this skill when the user wants an agent to run the full DEFT AOI improvement loop for an NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection model: baseline evaluation, RCA, synthetic defect generation, data mining, retraining, and deployment gating until a KPI target is met. "Run the DEFT loop" "Fine-tune until FAR below 0.1% at recall=100%" "Improve my AOI ChangeNet model using RCA and synthetic defects" "Iterate training until false accept ...
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7652 tao-run-platform nvidia/skills
TAO Execution SDK The SDK is the optional Python layer for users who need job handles, S3 I/O wrapping, or platform-specific features (SLURM/Lustre queues, Kubernetes Jobs, local Docker debugging, Brev instance reuse). Most TAO skills run with just docker run and don't need it. Reach for the SDK when: You want a Job handle to poll status and stream logs over time. You need S3-aware input download / output upload baked into the entrypoint. You're chaining multiple jobs and want persisted state. P...
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7653 tao-analyze-gaps-vlm-bcq nvidia/skills
VLM Binary Classification Gap Analysis Reads a VLM predictions JSON, compares each model response against ground truth, and writes FP/FN failure cases to a JSONL file with a summary report. Purpose After running a VLM on a binary yes/no evaluation task, the predictions need to be compared against ground truth to identify failure cases. This skill produces a structured list of FP (false positive) and FN (false negative) samples that downstream RCCA stages (e.g., cosmos generation, root cause anal...
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7654 tao-train-nvpanoptix3d nvidia/skills
NVPanoptix3D NVPanoptix3D for panoptic 3D scene reconstruction from posed RGB images. Produces 3D panoptic segmentation (semantic, instance, and panoptic masks) with occupancy completion. Built on VGGT backbone with Mask2Former-style head and 3D frustum reconstruction. Uses 2D and 3D stage checkpoints. Set train.checkpoint_2d and train.checkpoint_3d for staged initialization. Dataclass Schemas Generated TAO Core schemas are packaged in schemas/<action>.schema.json , with schemas/manifest.json li...
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7655 quality-playbook github/awesome-copilot
Quality Playbook Generator When this skill starts, display this banner before doing anything else: Quality Playbook v1.2.0 — by Andrew Stellman https://github.com/andrewstellman/ Generate a complete quality system tailored to a specific codebase. Unlike test stub generators that work mechanically from source code, this skill explores the project first — understanding its domain, architecture, specifications, and failure history — then produces a quality playbook grounded in what it finds. Why Th...
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7656 sentry-react-router-framework-sdk getsentry/sentry-for-ai
All Skills > SDK Setup > React Router Framework SDK Sentry React Router Framework SDK Opinionated wizard that scans your React Router Framework project and guides you through complete Sentry setup across client and server entry points. Invoke This Skill When User asks to "add Sentry to React Router Framework" or "set up Sentry in React Router v7 framework mode" User wants to install or configure @sentry/react-router User uses React Router framework entry files ( entry.client.tsx , entry.server.t...
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7657 adk-docs botpress/skills
ADK Documentation Management Use this skill when helping users create, review, update, or maintain documentation for their ADK projects. Users write guides and docs for their own bots and features — code examples should come from their project and the official ADK repo. When to Use This Skill Activate this skill when users: Want to create documentation for their bot ("Document my order workflow", "Write a guide for my custom actions") Need to review existing project docs for accuracy ("Check if ...
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7658 ansible-automation aj-geddes/useful-ai-prompts
Ansible Automation Overview Automate infrastructure provisioning, configuration management, and application deployment across multiple servers using Ansible playbooks, roles, and dynamic inventory management. When to Use Configuration management Application deployment Infrastructure patching and updates Multi-server orchestration Cloud instance provisioning Container management Database administration Security compliance automation Implementation Examples 1. Playbook Structure and Best Practic...
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7659 tao-train-visual-changenet nvidia/skills
Visual ChangeNet Visual ChangeNet is a TAO Toolkit model for visual inspection and defect detection. It supports two tasks: Classify — Binary image classification using a siamese-style architecture with a shared backbone (C-RADIO ViT) and a learnable difference module. Compares image pairs to classify defects as PASS/NO_PASS. Segment — Pixel-level change segmentation using a ViT-Large NVDINOv2 backbone. Compares before/after image pairs to produce a binary change mask. The backbone weight ( c_ra...
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7660 tao-train-reid nvidia/skills
Re-Identification Person re-identification. Learns discriminative embeddings to match the same person across different camera views. Metric learning based. Set model.pretrained_model_path for pretrained weights. Dataclass Schemas Generated TAO Core schemas are packaged in schemas/<action>.schema.json , with schemas/manifest.json listing available actions. Each generated schema also emits references/spec_template_<action>.yaml from the schema top-level default field. AutoML enablement is declared...
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7661 tao-train-pose-classification nvidia/skills
Pose Classification Pose classification using ST-GCN (Spatial Temporal Graph Convolutional Network). Classifies skeleton sequences into action categories from pose keypoint data. Typically trained from scratch on skeleton data. The packaged PyTorch Pose Classification CLI supports dataset_convert , train , evaluate , export , and inference . dataset_convert is conditional: run it only when the input is raw DeepStream BodyPose JSON. If the dataset is already converted to TAO-ready .npy / .pkl fil...
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7662 tao-run-on-brev nvidia/skills
Brev NVIDIA Brev provides on-demand GPU instances across multiple cloud providers. Instances come pre-loaded with NVIDIA drivers, CUDA, Docker, and NVIDIA Container Toolkit. Brev is instance-based (not job-based). You create an instance, run commands on it via brev exec , and delete it when done. The TAO SDK's BrevHandler wraps this into the standard job interface. Preflight This skill needs the brev CLI and an active login. Check before proceeding: 1. brev CLI installed command -v brev > /dev/...
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7663 tao-train-metric-learning-recognition nvidia/skills
ML Recog Metric learning recognition for fine-grained visual recognition. Learns embeddings for retrieval-based matching (e.g., retail product recognition). Uses triplet/contrastive losses. Set model.pretrained_model_path for pretrained backbone. For TAO Deploy TensorRT actions ( gen_trt_engine , TensorRT evaluate , and TensorRT inference ), read references/tao-deploy-metric-learning-recognition.md first. Deploy spec templates live in this skill's references/ folder with the spec_template_deploy...
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7664 tao-train-dino nvidia/skills
DINO DINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection. Transformer-based detector with denoising training, multi-scale features, and optional distillation support. Uses pretrained backbone weights (e.g. ResNet-50 ImageNet). Set model.pretrained_backbone_path for backbone-only or train.pretrained_model_path for full model. When To Use Train, evaluate, export, distill, quantize, or run inference for a TAO DINO 2D object detector. For TAO Deploy TensorRT actions ( gen_trt_en...
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7665 tao-generate-referring-expressions nvidia/skills
Image Referring Expression Pipeline Generate referring-expression and grounding annotations from images with KITTI-format bounding box labels. A single VLM (Gemini or any OpenAI-compatible endpoint) runs four steps: per-object region descriptions, holistic image captions, grouped grounding expressions tied to bboxes, and an optional double-check verification pass. Purpose Transform (image, KITTI labels) pairs into a unified annotations.jsonl containing rich, grounded referring expressions. The V...
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7666 tao-train-action-recognition nvidia/skills
Action Recognition Action recognition from video sequences. Supports RGB, optical flow, and joint (multi-stream) input types for classifying temporal actions in video clips. Set model.pretrained_model_path for pretrained backbone weights. Dataclass Schemas Generated TAO Core schemas are packaged in schemas/<action>.schema.json , with schemas/manifest.json listing available actions. Each generated schema also emits references/spec_template_<action>.yaml from the schema top-level default field. Au...
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7667 tao-train-depth-anything-v2 nvidia/skills
Depth Net Mono Monocular depth estimation using Metric Depth Anything v2 or Relative Depth Anything architectures. Predicts per-pixel depth from single RGB images. Pretrained checkpoint loading varies by model variant and use case — see the Pretrained checkpoint loading — use case matrix in references/parameters.md . The mono and stereo skills both invoke the unified TAO depth_net CLI inside the container; the mono/stereo family is selected via model.model_type (see references/parameters.md ). F...
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7668 tao-train-mask-auto-encoder nvidia/skills
MAE MAE (Masked Autoencoder) for self-supervised pretraining and fine-tuning. Masks random patches and reconstructs them to learn visual representations. Supports pretrain and finetune stages. Set train.pretrained_model_path for pretrained MAE weights when fine-tuning. For TAO Deploy TensorRT actions ( gen_trt_engine ), read references/tao-deploy-mask-auto-encoder.md first. Deploy spec templates live in this skill's references/ folder with the spec_template_deploy_*.yaml prefix. The parent PyTor...
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7669 tao-train-mask2former nvidia/skills
Mask2Former Mask2Former for universal image segmentation (panoptic, instance, and semantic). Transformer-based with masked attention for high-quality segmentation results. Set model.backbone.pretrained_weights for Swin backbone weights. For TAO Deploy TensorRT actions ( gen_trt_engine , TensorRT evaluate , and TensorRT inference ), read references/tao-deploy-mask2former.md first. Deploy spec templates live in this skill's references/ folder with the spec_template_deploy_*.yaml prefix. Dataclass ...
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7670 listenhub marswaveai/skills
Four modes, one entry point: Podcast — Two-person dialogue, ideal for deep discussions Explain — Single narrator + AI visuals, ideal for product intros TTS/Flow Speech — Pure voice reading, ideal for articles Image Generation — AI image creation, ideal for creative visualization Users don't need to remember APIs, modes, or parameters. Just say what you want. ⛔ Hard Constraints (Inviolable) The scripts are the ONLY interface. Period. ┌─────────────────────────────────────────────────────────...
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7671 tao-train-centerpose nvidia/skills
CenterPose CenterPose for keypoint / pose estimation. Detects object centers and regresses keypoint locations. Used for 6-DoF object pose estimation. Set model.backbone.pretrained_backbone_path. For TAO Deploy TensorRT actions ( gen_trt_engine , TensorRT evaluate , and TensorRT inference ), use the deploy spec templates packaged in this skill's references/ folder with the spec_template_deploy_*.yaml prefix. Dataclass Schemas Generated TAO Core schemas are packaged in schemas/<action>.schema.json...
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7672 tao-train-nvdinov2 nvidia/skills
NVDINOv2 NVDINOv2 for self-supervised visual representation learning. Trains vision transformers via self-distillation (teacher-student) without labels. Produces general-purpose visual features. Set train.pretrained_model_path for pretrained ViT weights. For TAO Deploy TensorRT actions ( gen_trt_engine ), read references/tao-deploy-nvdinov2.md first. Deploy spec templates live in this skill's references/ folder with the spec_template_deploy_*.yaml prefix. Dataclass Schemas Generated TAO Core sch...
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7673 zener-language diodeinc/pcb
Zener Language Use this skill as the semantics companion to idiomatic-zener for non-trivial .zen work. Workflow Start from nearby workspace code. Prefer the local package's patterns before generic examples. Open only the relevant reference file: references/language.md for modules, nets/interfaces, components, io() , config() , utilities, and tool-managed metadata references/packages.md for imports, workspace layout, manifests, dependencies, and pcb.sum references/stdlib.md for prelude, interface...
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7674 qdrant-clients-sdk qdrant/skills
Qdrant Clients SDK Qdrant has the following officially supported client SDKs: Python — qdrant-client · Installation: pip install qdrant-client[fastembed] JavaScript / TypeScript — qdrant-js · Installation: npm install @qdrant/js-client-rest Rust — rust-client · Installation: cargo add qdrant-client Go — go-client · Installation: go get github.com/qdrant/go-client .NET — qdrant-dotnet · Installation: dotnet add package Qdrant.Client Java — java-client · Available on Maven Central: https://central...
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7675 ios-swift-development aj-geddes/useful-ai-prompts
iOS Swift Development Overview Build high-performance native iOS applications using Swift with modern frameworks including SwiftUI, Combine, and async/await patterns. When to Use Creating native iOS applications with optimal performance Leveraging iOS-specific features and APIs Building apps that require tight hardware integration Using SwiftUI for declarative UI development Implementing complex animations and transitions Instructions 1. MVVM Architecture Setup import Foundation import Combine...
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7676 benchmark-optimization-loop affaan-m/everything-claude-code
Benchmark Optimization Loop Use this skill to convert "make it 20x faster" or "try 50 recursive optimizations" into a bounded measured loop that can actually improve a system. Required Baseline Do not optimize until these exist: the operation being optimized; the correctness gate that must stay green; the metric: wall time, p95 latency, rows/sec, cost/run, memory, error rate; the current baseline; the search budget: max variants, max time, max spend, max data impact. If the user asks for an unre...
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7677 marketing-campaign affaan-m/everything-claude-code
Marketing Campaign Plan and execute launch campaigns that convert — not just campaigns that ship. When to Activate planning a product or feature launch building a full content suite from a single product brief defining positioning and campaign angle before writing any copy orchestrating multiple content types across channels reviewing copy for conversion quality and brand consistency Non-Negotiables Show more Installs 1.5K Repository affaan-m/ecc GitHub Stars 239.0K First Seen May 25, 2026 Secur...
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7678 mmx-cli minimax-ai/skills
MiniMax CLI — Agent Skill Guide Use mmx to generate text, images, video, speech, music, and perform web search via the MiniMax AI platform. Prerequisites Install npm install -g mmx-cli Auth (OAuth persists to ~/.mmx/credentials.json, API key persists to ~/.mmx/config.json) mmx auth login --api-key sk-xxxxx Verify active auth source mmx auth status Or pass per-call mmx text chat --api-key sk-xxxxx --message "Hello" Region is auto-detected. Override with --region global or --region cn . Agent ...
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7679 tao-train-pointpillars nvidia/skills
PointPillars PointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via pillar-based representation, then applies 2D detection. Used in autonomous driving / robotics. Typically trained from scratch. Provide train.resume_training_checkpoint_path to resume. For TAO Deploy TensorRT actions ( gen_trt_engine , TensorRT evaluate , and TensorRT inference ), read references/tao-deploy-pointpillars.md first. Deploy spec templates live in this skill's refere...
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7680 tao-run-on-slurm nvidia/skills
SLURM Remote GPU compute platform for clusters managed by SLURM. Jobs are submitted from the TAO service or SDK host to a login node over SSH, staged on a shared filesystem, submitted with sbatch , and executed with srun container support. When to use Use SLURM when the user has access to a managed GPU cluster, shared Lustre storage, and scheduler-owned GPU allocation. Do not use SLURM for local files that exist only on the agent machine; data and outputs must be reachable from the cluster. Pref...
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7681 tao-mine-aoi-images nvidia/skills
DEFT Mining and Embedding Skill You are the operator of the DEFT embed-then-mine workflow for VCN AOI. Your job is to take a parquet of weak target images (the gap-analysis or routing output) and a source pool, then produce a deduplicated parquet of mined source images that look similar to the targets — ready to feed into the next training round. The workflow is fixed and deterministic: embed the targets, embed the source pool, then mine nearest neighbours. Each step's output parquet is the next...
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7682 tao-train-bevfusion nvidia/skills
BEVFusion BEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view (BEV) space. Used in autonomous driving for robust 3D perception. Set pretrained backbone paths for Swin image backbone. BEVFusion requires the BEVFusion-specific TAO container nvcr.io/nvidia/tao/tao-toolkit:5.5.0-pyt . The shared TAO PyTorch 7.0 RC image does not package mmdet3d and fails before any BEVFusion action can parse its spec. The model-skill action is named dataset_c...
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7683 tao-train-mask-grounding-dino nvidia/skills
Mask Grounding DINO Mask Grounding DINO for grounded instance segmentation. Extends Grounding DINO with mask prediction head for open-set segmentation guided by text prompts. Set train.pretrained_model_path for full model weights. For TAO Deploy TensorRT actions ( gen_trt_engine , TensorRT evaluate , and TensorRT inference ), read references/tao-deploy-mask-grounding-dino.md first. Deploy spec templates live in this skill's references/ folder with the spec_template_deploy_*.yaml prefix. Dataclas...
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7684 tao-train-ocdnet nvidia/skills
OCDNet OCDNet for scene text detection. Detects arbitrary-oriented text regions in natural images using a differentiable binarization approach. Set model.pretrained_model_path for pretrained weights. For TAO Deploy TensorRT actions ( gen_trt_engine , TensorRT evaluate , and TensorRT inference ), read references/tao-deploy-ocdnet.md first. Deploy spec templates live in this skill's references/ folder with the spec_template_deploy_*.yaml prefix. The PyT OCDNet CLI supports train , evaluate , expor...
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7685 tao-train-mask-auto-label nvidia/skills
MAL MAL (Mask Auto-Label) for weakly-supervised segmentation. Produces segmentation masks from minimal annotations (e.g., point or box annotations). Uses ViT-MAE backbone. Set train.pretrained_model_path for ViT-MAE pretrained weights. Dataclass Schemas Generated TAO Core schemas are packaged in schemas/<action>.schema.json , with schemas/manifest.json listing available actions. Each generated schema also emits references/spec_template_<action>.yaml from the schema top-level default field. AutoM...
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7686 tao-validate-dataset-format nvidia/skills
Validate a TAO DAFT Dataset Quick start tao-daft validate < format > --path < dataset-or-parent-dir > <format> is a positional subcommand (e.g. metropolis-v3.0 , cosmos-reason-v1.0 ); --path is required. Discover supported formats and per-format flags via tao-daft validate --help and the leaf --help (see "CLI conventions" below). Show more Installs 585 Repository nvidia/skills GitHub Stars 1.9K First Seen Jun 8, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Warn
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7687 latency-critical-systems affaan-m/everything-claude-code
Latency Critical Systems Use this skill when the user cares about realtime behavior, hot paths, streaming freshness, or execution speed. This includes HFT-like infrastructure, but the skill is engineering-focused. It does not authorize live trading or financial advice. Split The Metrics Do not collapse everything into "fast." Track: Show more Installs 1.4K Repository affaan-m/ecc GitHub Stars 239.2K First Seen May 25, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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7688 parallel-execution-optimizer affaan-m/everything-claude-code
Parallel Execution Optimizer Use this skill when speed comes from doing independent work at the same time: repo inspection, file reads, API checks, browser checks, build/test lanes, deploy readbacks, or multi-worktree implementation passes. Core Pattern Turn urgency into a dependency graph before acting. Define the objective and done signal. Split work into lanes. Mark each lane as parallel, sequential, or gated. Run independent reads/checks together. Keep writes isolated by file, worktree, bran...
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7689 social-publisher affaan-m/everything-claude-code
Social Publisher Automate multi-platform social media publishing with intelligent scheduling, platform-specific optimization, and centralized content management. Based on n8n workflows like PostPulse. Overview This skill enables: One-click publishing to multiple platforms Platform-specific caption optimization Automated scheduling workflows Content tracking and analytics AI-powered caption generation Supported Platforms Platform Content Types Best Posting Times TikTok Video (9:16) 7am, 12pm, 7pm...
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7690 safe-browser browserbase/skills
Safe Browser Build a local browser-agent demo where the generated runtime agent has exactly one browser capability: safe_browser . The tool owns the Playwright/CDP session, enables Fetch interception for all requests, and fails any request whose host is not allowlisted. This skill is a builder guide. The skill itself is not the runtime boundary; the generated Claude Agent SDK app is. When to Use The user asks for a browser agent that must stay on an allowlisted site. The user wants to demonstrat...
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7691 tao-train-single-step nvidia/skills
Normal Train Standard supervised fine-tuning: train a model on a labeled dataset, optionally evaluate, then optionally export. The most common TAO workflow for adapting a pretrained model to a new dataset. Steps train — executed through AutoML when the selected model has automl_enabled: true and automl_policy is on ; set automl_policy=off for a plain single training run eval — executed if eval_dataset_uri is resolved export — optional, on user request after training Prerequisites Show more Insta...
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7692 tao-train-segformer nvidia/skills
SegFormer SegFormer for semantic segmentation. Lightweight transformer-based architecture with hierarchical feature extraction. Efficient for real-time segmentation tasks. Set model.backbone.pretrained_backbone_path for backbone weights. For TAO Deploy TensorRT actions ( gen_trt_engine , TensorRT evaluate , and TensorRT inference ), read references/tao-deploy-segformer.md first. Deploy spec templates live in this skill's references/ folder with the spec_template_deploy_*.yaml prefix. Dataclass S...
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7693 tao-train-foundation-stereo nvidia/skills
Depth Net Stereo Stereo depth estimation using FoundationStereo architecture. Predicts disparity maps from stereo image pairs for 3D reconstruction. Uses pretrained Depth Anything v2 and EdgeNeXt encoders. Set model.stereo_backbone.depth_anything_v2_pretrained_path and model.stereo_backbone.edgenext_pretrained_path . The mono and stereo skills both invoke the unified TAO depth_net CLI inside the container; the mono/stereo family is selected via model.model_type (e.g., FoundationStereo ). PyT act...
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7694 tao-route-visual-changenet-samples nvidia/skills
TAO VCN Sample Routing Skill You are the dispatcher between gap analysis and the augmentation modules in a VCN AOI SDA pipeline. Each augmentation module can only act on labels it knows how to handle: k-NN Mining can only mine real-image neighbors for labels that already exist in the source pool CSV . There is no point looking for SHIFT neighbors if the pool has no SHIFT rows. AnomalyGen (Cosmos SDG) can only generate synthetic anomalies for the classes its inference pipeline supports: PASS , EX...
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7695 tao-train-rtdetr nvidia/skills
RT-DETR RT-DETR (Real-Time DEtection TRansformer) for 2D object detection. Designed for real-time inference with competitive accuracy. Supports distillation and quantization for deployment optimization. Set model.pretrained_backbone_path for backbone weights or train.pretrained_model_path for full model. For TAO Deploy TensorRT actions ( gen_trt_engine , TensorRT evaluate , and TensorRT inference ), read references/tao-deploy-rtdetr.md first. Deploy spec templates live in this skill's references...
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7696 tao-train-fast-foundation-stereo nvidia/skills
Depth Net Fast Stereo Real-time stereo depth estimation using FastFoundationStereo (FFS) — the bp2 commercial distilled variant of FoundationStereo. Predicts disparity maps from rectified stereo image pairs with per-layer pruned widths for real-time inference. The mono / stereo / fast-stereo skills share the unified TAO depth_net CLI; FFS is selected via model.model_type: FastFoundationStereo . FFS differs from FoundationStereo only in pruned per-layer widths and a serialized forward path; every...
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7697 tao-train-oneformer nvidia/skills
OneFormer OneFormer for universal image segmentation. Unifies panoptic, instance, and semantic segmentation with a single architecture using task-conditioned queries. Set train.pretrained_backbone and/or train.pretrained_model. For TAO Deploy TensorRT actions ( gen_trt_engine , TensorRT evaluate , and TensorRT inference ), read references/tao-deploy-oneformer.md first. Deploy spec templates live in this skill's references/ folder with the spec_template_deploy_*.yaml prefix. Dataclass Schemas Gen...
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7698 tao-train-deformable-detr nvidia/skills
Deformable DETR Deformable DETR for 2D object detection. Uses deformable attention for efficient multi-scale feature processing. Lighter than DINO with competitive accuracy. Uses pretrained weights. Set model.pretrained_backbone_path for backbone-only loading or train.pretrained_model_path for full model initialization. Supported parent model actions are train , evaluate , inference , export , and quantize . The PyT model container does not support a native gen_trt_engine subtask for this networ...
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7699 tao-train-sparse4d nvidia/skills
Sparse4D Sparse4D for multi-camera temporal 3D object detection and tracking. Uses sparse queries with deformable attention across camera views and time for end-to-end 3D perception. Includes instance bank for temporal tracking. Use a pretrained ResNet-101 backbone when one is available by setting train.pretrained_model_path . For local smoke validation, Sparse4D training can run with an empty train.pretrained_model_path , but production runs should still use a compatible PTM. Dataclass Schemas ...
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7700 data-throughput-accelerator affaan-m/everything-claude-code
Data Throughput Accelerator Use this skill when the bottleneck is moving, transforming, or saving lots of data. The goal is not just speed. The goal is faster correct data landing in the right place with proof. First Distinction Separate these before optimizing: source extraction speed; network transfer speed; warehouse/load speed; transform speed; serving-table freshness; live tail growth while the job runs. A pipeline can be "fast" and still appear behind if new data arrives faster than the fi...
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