NVIDIASkilldeploy-slurm-cluster
NVIDIA/deepops/skills/deploy-slurm-cluster/SKILL.md
Deploy a Slurm GPU cluster with DeepOps and prove it works. Use when asked to deploy, install, or rebuild Slurm on one or more GPU servers with this repository.
Claude skills and agent skills
Skills real projects publish on GitHub, most starred first. Each one says what it will make an agent do before you copy it.
Best matches · from page 5Worked for most · soon
NVIDIASkillNVIDIASkillvss-deploy-profile
NVIDIA/skills/skills/vss-deploy-profile/SKILL.md
Use to select, configure, deploy, verify, debug, or tear down a VSS profile (base, search, lvs, warehouse, edge). Not for standalone microservices — use the vss-deploy-* skill.
Microsoft AzureSkillasim-parser-la-deployer
Azure/Azure-Sentinel/.github/skills/asim-parser-la-deployer/SKILL.md
Gets the ASIM parser of interest and deploys it to the customer's LA workspace.
NVIDIASkillvss-deploy-detection-tracking-3d
NVIDIA/skills/skills/vss-deploy-detection-tracking-3d/SKILL.md
Deploy and operate the RTVI-CV-3D microservice as MV3DT (`MODE=mv3dt`): per-camera DeepStream perception plus BEV Fusion over calibrated cameras. Supports the bundled sample dataset, custom video files, and RTSP streams, and chains to `vss-generate-video-calibration` when calibration is missing. Use `vss-deploy-profile` for the full warehouse blueprint and `vss-deploy-detection-tracking-2d` for single-camera 2D detection.
NVIDIASkilldeploy-k8s-gpu-cluster
NVIDIA/deepops/skills/deploy-k8s-gpu-cluster/SKILL.md
Deploy a Kubernetes GPU cluster with DeepOps (Kubespray + GPU Operator) and prove it schedules GPU pods. Use when asked to deploy or rebuild Kubernetes on GPU servers with this repository.
NVIDIA-AI-BlueprintsSkillvss-deploy-video-embedding
NVIDIA-AI-Blueprints/video-search-and-summarization/skills/deployment/vss-deploy-video-embedding/SKILL.md
Use this skill when deploying, operating, integrating, or customizing the VSS RT-Embed Video Embedding microservice. Covers standalone Docker Compose deployment, the `/v1` REST API for text/video embeddings and live streams, Redis/Kafka/OTel integration, troubleshooting, and bring-your-own-model (BYOM) custom embedding backends, with VideoPrism as an example. Do not use for RT-CV, RT-VLM, VSS Agent, or general VSS deployment work that does not include RT-Embed.
NVIDIASkillvss-deploy-dense-captioning
NVIDIA/skills/skills/vss-deploy-dense-captioning/SKILL.md
Use this skill when deploying standalone RT-VLM dense captioning or calling its REST API (uploads, captions, streams, chat-completions, Kafka). Not for VSS profile deploy or video-search ingestion.
GitHubSkillmcp-deploy-manage-agents
github/awesome-copilot/skills/mcp-deploy-manage-agents/SKILL.md
Skill converted from mcp-deploy-manage-agents.prompt.md
BankrBotSkillBase Deploy
BankrBot/skills/base-deploy/SKILL.md
Deploy and verify smart contracts on Base with Foundry — testnet faucet access via CDP, encrypted keystore management, BaseScan verification, and common troubleshooting.
NVIDIA-AI-BlueprintsSkillvss-deploy-dense-captioning
NVIDIA-AI-Blueprints/video-search-and-summarization/skills/deployment/vss-deploy-dense-captioning/SKILL.md
Use this skill when deploying standalone RT-VLM dense captioning or calling its REST API (uploads, captions, streams, chat-completions, Kafka). Not for VSS profile deploy or video-search ingestion.
BankrBotSkillversa-deploy
BankrBot/skills/versa/SKILL.md
Deploy, manage, or withdraw from an AI agent vault on Versa — the onchain adversarial AI arena on Base. Use when an agent wants to deploy its own vault, earn ETH from challenge fees passively, set a defense prompt, guard a treasury, check earnings, withdraw fees, close a vault, or compete in the arena. Trigger phrases: deploy on versa, create a vault, earn ETH passively, set up my agent, launch my vault, I want to play defense, how does versa work, check my earnings, withdraw my fees, how much have I earned, guard a treasury.
MicrosoftSkillmicrosoft-foundry
microsoft/skills/.github/plugins/azure-skills/skills/microsoft-foundry/SKILL.md
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, create agent, update agent, add tool to agent, invoke agent, agent.yaml, agent insights, pull agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, prompt optimizer, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).
GoogleSkillgoogle-cloud-solution-build-deploy-agents
google/skills/skills/cloud/google-cloud-solution-build-deploy-agents/SKILL.md
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 instructions. Use when designing or implementing agentic systems on Google Cloud. Don't use for general Google Cloud solution architecture (use google-cloud-solution-architecture instead) or for narrow tasks targeting a single product without agent context.
MicrosoftSkillpython-appservice-deploy
microsoft/skills/.github/plugins/azure-skills/skills/python-appservice-deploy/SKILL.md
Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: \"Flask App Service\", \"Django App Service\", \"FastAPI App Service\", \"deploy Python to App Service\". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use azure-prepare.
MicrosoftSkillpreset
microsoft/skills/.github/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset/SKILL.md
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
MicrosoftSkilldeploying-scalable-agents
microsoft/ai-agents-for-beginners/translations/en/.agents/skills/deploying-scalable-agents/SKILL.md
Take a working agent prototype to a scalable, observable production
NVIDIA-AI-BlueprintsSkillvss-deploy-warehouse-helm
NVIDIA-AI-Blueprints/video-search-and-summarization/skills/deployment/vss-deploy-warehouse-helm/SKILL.md
Use when the user asks to deploy, upgrade, or size the VSS warehouse blueprint (2D / 3D / MV3DT) on Kubernetes via Helm — as opposed to Docker Compose, which is covered by vss-build-vision-ai's warehouse reference. Handles GPU-aware NUM_STREAMS capping so the deployment matches what the perception pipeline can actually sustain.
NVIDIASkillvss-deploy-detection-tracking-2d
NVIDIA/skills/skills/vss-deploy-detection-tracking-2d/SKILL.md
Use this skill when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice. Trigger when the user says things like 'deploy rtvi-cv', 'start warehouse 2d', 'add a stream', 'check rtvi-cv health', or 'stop the perception container'. Not for VLM, embedding, or analytics — use the matching vss-* skill.
MicrosoftSkilldeployment-pipelines-authoring-cli
microsoft/skills-for-fabric/plugins/fabric-skills/skills/deployment-pipelines-authoring-cli/SKILL.md
Manages Fabric deployment pipelines for ALM promotion across dev, test, and prod stages, including stage creation, workspace assignment, selective forward or backward deploys, operation polling, stage role assignments, and the pipeline and workspace permissions each action requires. For Git sync use git-integration-operations-cli.
Hugging FaceSkillhf-cloud-serving-image-selection
huggingface/skills/skills/hf-cloud-serving-image-selection/SKILL.md
Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.
About skills
What is a Claude skill?
A folder with a SKILL.md file: a name, a description of when to use it, and instructions. Claude loads a skill only when the task matches its description.
How do I use one I find here?
Copy the folder into your project's .claude/skills/ directory, or into your own skills folder to use it everywhere.
What do the warnings mean?
We read each file for commands that read secrets, delete things or pipe downloads into a shell, and say so before you copy it. No warning is not a promise that a file is safe.
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Open a skill to see its discussion. Reports from people and their agents are coming.