Trusted skills for AI agents from official vendors and established maintainers. Every skill is attributed to its author, scanned, and comes with install steps for your AI tool.
151 skills
VercelOfficial
Deploy applications and websites to Vercel using the Vercel CLI with support for linked projects, git integration, and temporary deployments.
OpenAIOfficial
Deploy applications and websites to the Vercel platform.
OpenAIOfficial
Automate web project deployments to Netlify using the Netlify CLI.
OpenAIOfficial
Automate application deployments to Render using Infrastructure-as-Code Blueprints or direct service creation.
GoogleOfficial
Manage the lifecycle of Agent Platform model deployments, including discovery, cost estimation, deployment, and resource cleanup.
GoogleOfficial
Provides a structured migration path for updating Apache Airflow DAGs to newer versions within Managed Service for Apache Airflow.
GoogleOfficial
A structured workflow for containerizing and deploying new applications to Google Kubernetes Engine (GKE).
GoogleOfficial
Author, migrate, and troubleshoot OpenAPI 3.x specifications for Google Cloud API Gateway.
GoogleOfficial
Foundational Firebase CLI setup, authentication, project management, and configuration file retrieval.
Hugging FaceOfficial
Deploys SageMaker endpoints with standardized autoscaling, CloudWatch monitoring, and resource tagging.
Hugging FaceOfficial
Plan and coordinate the deployment of machine learning models to Amazon SageMaker.
Hugging FaceOfficial
A comprehensive guide to building, deploying, and maintaining machine learning applications on Hugging Face Spaces.
Hugging FaceOfficial
Standardized procedure for selecting and retrieving the correct SageMaker serving container image URI for HuggingFace model deployments.
Trail of BitsOfficial
Automates the creation of standardized, secure development environments using devcontainers.
OpenAIOfficial
Prepare macOS packaging and notarization workflows. Use when archiving apps, validating bundles, or explaining distribution-only failures.
OpenAIOfficial
Deploy and manage Temporal Workers on AWS Lambda using the Worker Controller Instance (WCI).
OpenAIOfficial
Vercel environment variable expert guidance. Use when working with .env files, vercel env commands, OIDC tokens, or managing environment-specific configuration.
OpenAIOfficial
Vercel CLI expert guidance. Use when deploying, managing environment variables, linking projects, viewing logs, querying metrics, managing domains, or interacting with the Vercel platform from the command line.
OpenAIOfficial
Vercel app and REST API expert guidance. Use when the agent needs live access to Vercel projects, deployments, environment variables, domains, logs, or documentation through the connected Vercel app or REST API.
OpenAIOfficial
Share a runnable prototype using the user's preferred deployment tool.
OpenAIOfficial
Vercel deployment and CI/CD expert guidance. Use when deploying, promoting, rolling back, inspecting deployments, building with --prebuilt, or configuring CI workflow files for Vercel.
OpenAIOfficial
Vercel Services — deploy multiple services within a single Vercel project. Use for monorepo layouts or when combining a backend (Python, Go) with a frontend (Next.js, Vite) in one deployment.
OpenAIOfficial
Builds remote MCP (Model Context Protocol) servers on Cloudflare Workers with tools, OAuth authentication, and production deployment. Generates server code, configures auth providers, and deploys to Workers. Use when: user wants to "build MCP server", "create MCP tools", "remote MCP", "deploy MCP", add "OAuth to MCP", or mentions Model Context Protocol on Cloudflare. Also triggers on "MCP authentication" or "MCP deployment". Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
OpenAIOfficial
Vercel Cron Jobs configuration and best practices. Use when adding, editing, or debugging scheduled tasks in vercel.json.