MCP servers and skills: search, filter by where they run, and compare.
Discovers requirements and designs an end-to-end governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark (Lightning Engine). Use when designing data science an
OfficialSkillApache-2.0★ 21k in collectionNo key
Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices. Use when architecting multi-product solutions for agent-based data anal
OfficialSkillApache-2.0★ 21k in collectionNo key
Discovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents. Use when architecting multi-cloud storage infrastructure (Cloud Storage
OfficialSkillApache-2.0★ 21k in collectionNo key
Guides agents to interactively discover customer requirements for live, bidirectional multi-agent AI systems that process continuous streams of multimodal data for real-time technical guidance and saf
OfficialSkillApache-2.0★ 21k in collectionNo key
Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwri
OfficialSkillMIT★ 143k in collectionNo key
Agent Skills for Google products and technologies
OfficialSkillApache-2.0★ 21kNo key
Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or crea
OfficialSkillMIT★ 40k in collectionNo key
Generate a complete MCP server implementation optimized for Copilot Studio integration with proper schema constraints and streamable HTTP support
OfficialSkillMIT★ 40k in collectionNo key
Designs, builds, and deploys AI agents or multi-agent systems on Google Cloud. Provides an interactive workflow to gather requirements, recommend a tailored architecture, and generate deployment instr
OfficialSkillApache-2.0★ 21k in collectionNo key
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage. Handles any RAG action: deploy, install, start, enable, disable, toggle, change, configure, troubleshoot, debug, fix, shutdown, stop
OfficialSkillApache-2.0★ 3.6k in collectionNo key
PointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a pillar-based representation, then applies 2D detection — used in autonomous driving and rob
OfficialSkillApache-2.0★ 3.6k in collectionNo key
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. Use when training, evalu
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
cuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Run a Python training/eval script directly in an existing local virtualenv — no docker, no container. Implements the four-verb consumer contract (submit/status/logs/cancel) over a vendored process-lif
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Use this skill when choosing or configuring NeMo Relay 0.6 or 0.7 observability through the built-in plugin, subscribers, or exporters, including raw ATOF events, ATIF trajectories, OpenTelemetry, Ope
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Run a TAO training/evaluation/inference container on an NVIDIA Brev GPU instance. Instance provisioning (create/search/stop/delete/login) is delegated to the official brev-cli agent skill or the Brev
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes cluster
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Set up or troubleshoot the Auto Ontology runtime. Use for Helm (the official install), Docker Compose, developer setup, and MCP connection to an existing deployment.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Use this skill to deploy and operate a CollectX (clx) based DOCA telemetry collector on a host or BlueField — wiring providers / counters into the collector, running the collection daemon, and shaping
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Audit, prepare, and deploy PAIDF Orchestration on a Kubernetes GPU cluster - single-GPU H100/L40S hosts, managed Kubernetes, kubeadm, and similar. Select for requests to set up, install, deploy, confi
OfficialSkillCC-BY-4.0 AND Apache-2.0★ 3.6k in collectionNo key
Use this skill to enumerate host↔DPU DOCA comch (formerly Comm Channel) servers and connections via the shipped doca_comm_channel_admin binary — listing comch-capable devices and decoding the per-devi
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Run DiffDock molecular docking via NVIDIA NIM to predict small-molecule binding poses against protein targets. Use for DiffDock, molecular docking, ligand docking, blind docking, SMILES or SDF ligands
OfficialSkillApache-2.0 AND CC-BY-4.0★ 3.6k in collectionNo key
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