Overview CLI FAQ

Agent Skills 排行榜 · 关键词 + 语义搜索

按 / 聚焦搜索框
正在使用 AI 进行语义搜索...
27,534
总 Skills
164.3M
总安装量
2,747
贡献者
# Skill 仓库 描述 安装量
7651 tao-train-optical-inspection nvidia/skills
Optical Inspection Optical inspection for defect detection using Siamese networks. Compares image pairs to detect manufacturing defects, anomalies, or quality issues. Set train.pretrained_model_path for pretrained Siamese weights. For TAO Deploy TensorRT actions ( gen_trt_engine , TensorRT evaluate , and TensorRT inference ), read references/tao-deploy-optical-inspection.md first. The parent PyT container does not expose optical_inspection gen_trt_engine ; TensorRT engine generation is deploy-on...
 1.5K
7652 tao-train-ocrnet nvidia/skills
OCRNet OCRNet for scene text recognition. Recognizes text content from cropped text region images. Supports CTC and attention-based decoders. Set train.pretrained_model_path for pretrained OCR weights. For TAO Deploy TensorRT actions ( gen_trt_engine , TensorRT evaluate , and TensorRT inference ), read references/tao-deploy-ocrnet.md first. Deploy spec templates live in this skill's references/ folder with the spec_template_deploy_*.yaml prefix. Dataclass Schemas Generated TAO Core schemas are p...
 1.5K
7653 day4-wrap-and-analyze ai-native-camp/camp-1
Day 4: Wrap & Analyze 이 스킬이 호출되면 아래 STOP PROTOCOL 을 반드시 따른다. 용어 정리 이 스킬에서 사용하는 핵심 용어: 용어 설명 session-wrap 코딩 세션이 끝날 때 작업을 정리하고 문서화하는 스킬. "퇴근 전 책상 정리" multi-agent 여러 에이전트가 동시에 일하는 패턴. "회의에서 각 팀장에게 동시에 보고 받기" 병렬(Parallel) 여러 작업을 동시에 처리하는 것. "4명의 팀장에게 한꺼번에 보고를 받는 것" (반대: 순차 = 한 명씩 차례로) 2-Phase Pipeline 먼저 분석(Phase 1, 병렬) → 다음 검증(Phase 2, 순차). "전문가 의견 수집 후 팀장이 중복 체크" frontmatter 스킬 파일 맨 위에 --- 로 감싸서 적는 "이름표". 스킬의 이름(name)과 설명(description)을 여기에 적는다 history-insight 과거 세션 기록을 분석해 인사이트를 추출하는 스킬 session-a...
 1.5K
7654 tao-train-grounding-dino nvidia/skills
Grounding DINO Grounding DINO for open-set object detection. Combines DINO-style detection with BERT text encoder for language-guided detection. Detects objects described by text prompts without fixed class vocabulary. Set train.pretrained_model_path for full Grounding DINO weights or model.pretrained_backbone_path for backbone-only. For TAO Deploy TensorRT actions ( gen_trt_engine , TensorRT evaluate , and TensorRT inference ), read references/tao-deploy-grounding-dino.md first. Deploy spec tem...
 1.5K
7655 continuous-learning-v2 affaan-m/ecc
Continuous Learning v2 - Instinct-Based Architecture An advanced learning system that turns your Claude Code sessions into reusable knowledge through atomic "instincts" - small learned behaviors with confidence scoring. What's New in v2 Feature v1 v2 Observation Stop hook (session end) PreToolUse/PostToolUse (100% reliable) Analysis Main context Background agent (Haiku) Granularity Full skills Atomic "instincts" Confidence None 0.3-0.9 weighted Evolution Direct to skill Instincts → cluster → s...
 1.5K
7656 documentation-templates sickn33/antigravity-awesome-skills
Documentation Templates Templates and structure guidelines for common documentation types. 1. README Structure Essential Sections (Priority Order) Section Purpose Title + One-liner What is this? Quick Start Running in <5 min Features What can I do? Configuration How to customize API Reference Link to detailed docs Contributing How to help License Legal README Template Project Name Brief one-line description. Quick Start [Minimum steps to run] Features - Feature 1 - Feature 2 Configur...
 1.5K
7657 tao-run-automl-deft-pipeline nvidia/skills
AutoML + DEFT Pipeline A workflow-bridge skill that runs three phases in sequence by delegating to two existing skills — tao-run-automl for HPO and a DEFT application skill (default tao-run-deft-aoi for AOI; other skills/applications/deft-* skills for non-AOI cases) for the iterative data-improvement loop. This skill does not re-implement AutoML or DEFT. It owns only the connective tissue: HPO spec inputs, the spec-handoff between AutoML and DEFT, and the post-DEFT AutoML re-run on the augmented...
 1.5K
7658 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 ...
 1.5K
7659 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...
 1.5K
7660 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...
 1.5K
7661 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...
 1.5K
7662 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...
 1.5K
7663 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...
 1.5K
7664 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 ...
 1.5K
7665 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...
 1.5K
7666 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...
 1.5K
7667 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...
 1.5K
7668 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...
 1.5K
7669 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/...
 1.5K
7670 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...
 1.5K
7671 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...
 1.5K
7672 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...
 1.5K
7673 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...
 1.5K
7674 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...
 1.5K
7675 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...
 1.5K
7676 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 ...
 1.5K
7677 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. ┌─────────────────────────────────────────────────────────...
 1.5K
7678 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...
 1.5K
7679 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...
 1.5K
7680 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...
 1.5K
7681 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...
 1.5K
7682 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...
 1.5K
7683 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...
 1.5K
7684 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...
 1.5K
7685 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 ...
 1.5K
7686 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...
 1.5K
7687 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...
 1.5K
7688 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...
 1.5K
7689 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...
 1.5K
7690 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...
 1.5K
7691 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...
 1.5K
7692 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...
 1.5K
7693 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
 1.5K
7694 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
 1.5K
7695 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...
 1.5K
7696 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...
 1.5K
7697 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...
 1.5K
7698 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...
 1.5K
7699 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...
 1.5K
7700 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...
 1.5K