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Everything your AI needs, in one place.

Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.

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356 results
Skill

vercel-multi-env-setup

Configure Vercel across development, preview, and production environments with scoped secrets. Use when setting up per-environment configuration, managing environment-specific variables, or implementi

by jeremylongshoreskills.sh
Not rated yet
Free
Skill

vercel-prod-checklist

Vercel production deployment checklist with rollback and promotion procedures. Use when deploying to production, preparing for launch, or implementing go-live and instant rollback procedures. Trigger

by jeremylongshoreskills.sh
Not rated yet
Free
Skill

vertex-agent-builder

Build and deploy generative AI agents on Vertex AI: Gemini model selection, RAG with grounded retrieval, function calling, multimodal extraction, evaluation, and Agent Engine deployment with operation

by jeremylongshoreskills.sh
Not rated yet
Free
Skill

vertex-engine-inspector

Inspect and validate Vertex AI Agent Engine deployments including Code Execution Sandbox, Memory Bank, A2A protocol compliance, and security posture. Generates production readiness scores. Use when as

by jeremylongshoreskills.sh
Not rated yet
Free
Skill

vertex-infra-expert

Execute use when provisioning Vertex AI infrastructure with Terraform. Trigger with phrases like "vertex ai terraform", "deploy gemini terraform", "model garden infrastructure", "vertex ai endpoints t

by jeremylongshoreskills.sh
Not rated yet
Free
Skill

windsurf-cicd-github-actions

Generate and maintain GitHub Actions with Cascade assistance. Activate when users mention "github actions", "ci/cd pipeline", "workflow automation", "continuous integration", or "deployment pipeline".

by jeremylongshoreskills.sh
Not rated yet
Free
Skill

windsurf-deploy-integration

Deploy applications using Windsurf's built-in deployment features and Cascade automation. Use when deploying apps from Windsurf, configuring Netlify/Vercel integration, or building deployment workflow

by jeremylongshoreskills.sh
Not rated yet
Free
Skill

windsurf-prod-checklist

Execute Windsurf production readiness checklist for team and enterprise deployments. Use when rolling out Windsurf to a team, preparing for enterprise deployment, or auditing production configuration.

by jeremylongshoreskills.sh
Not rated yet
Free
Skill

flow-nexus-platform

Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges

by ruvnetskills.sh
Not rated yet
Free
Skill

github-release-management

Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management

by ruvnetskills.sh
Not rated yet
Free
Skill

github-workflow-automation

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management

by ruvnetskills.sh
Not rated yet
Free
Skill

modal-serverless-gpu

Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scal

by davila7skills.sh
Not rated yet
Free
Skill

mlflow

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform

by davila7skills.sh
Not rated yet
Free
Skill

railway-database

Add official Railway database services (Postgres, Redis, MySQL, MongoDB). Use when user wants to add a database, says "add postgres", "add redis", "add database", "connect to database", or "wire up th

by davila7skills.sh
Not rated yet
Free
Skill

railway-deploy

Deploy code to Railway using "railway up". Use when user wants to push code, says "railway up", "deploy", "ship", or "push". For initial setup or creating services, use railway-new skill. For Docker i

by davila7skills.sh
Not rated yet
Free
Skill

railway-deployment

Manage Railway deployments - view logs, redeploy, restart, or remove deployments. Use for deployment lifecycle (remove, stop, redeploy, restart), deployment visibility (list, status, history), and tro

by davila7skills.sh
Not rated yet
Free
Skill

railway-status

Check current Railway project status for this directory. Use when user asks "railway status", "is it running", "what's deployed", "deployment status", or about uptime. NOT for variables or configurati

by davila7skills.sh
Not rated yet
Free
Skill

railway-templates

Search and deploy services from Railway's template marketplace. Use when user wants to add a service from a template, find templates for a specific use case, or deploy tools like Ghost, Strapi, n8n, M

by davila7skills.sh
Not rated yet
Free
Skill

cuopt-install

Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.

by nvidiaskills.sh
Not rated yet
Free
Skill

cuopt-server-api-python

cuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API.

by nvidiaskills.sh
Not rated yet
Free
Skill

earth2studio-install

Guide installing Earth2Studio via uv or pip, selecting model extras, and configuring the environment. Do NOT use for writing inference code, choosing models, or PhysicsNeMo questions.

by nvidiaskills.sh
Not rated yet
Free
Skill

rag-blueprint

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

by nvidiaskills.sh
Not rated yet
Free
Skill

tao-finetune-clip

CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. Use when fine-tuning or training CLIP, running zero-shot clas

by nvidiaskills.sh
Not rated yet
Free
Skill

vss-deploy-dense-captioning

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.

by nvidiaskills.sh
Not rated yet
Free
1

Find

Search or browse by kind. Every card shows who made it, how many people installed it and what they think.

2

Install

One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.

3

Rate and publish

Leave a star rating after you have used it. Made something useful? Publish it - free listings go live immediately.

Prefer the terminal? osr stack apply registry://starter installs the starter template.