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Found 1,984 Skills
gh, vercel, supabase, render CLI and deployment platform setup
Deploy prompt-based Azure AI agents from YAML definitions to Azure AI Foundry projects. Use when users want to (1) create and deploy Azure AI agents, (2) set up Azure AI infrastructure, (3) deploy AI models to Azure, or (4) test deployed agents interactively. Handles authentication, RBAC, quotas, and deployment complexities automatically.
Deploy and configure applications on Vercel. Use when deploying Next.js apps, configuring serverless functions, setting up edge functions, or managing Vercel projects. Triggers on Vercel, deploy, serverless, edge function, Next.js deployment.
Use when user needs LLM system architecture, model deployment, optimization strategies, and production serving infrastructure. Designs scalable large language model applications with focus on performance, cost efficiency, and safety.
This skill should be used when users need to manage GitOps deployments via ArgoCD CLI. It covers application sync, rollback, status checking, refresh, and deployment history. Integrates with Kargo for progressive delivery. Triggers on requests mentioning ArgoCD, GitOps, application sync, deployment status, or rollback operations.
Qdrant vector database: collections, points, payload filtering, indexing, quantization, snapshots, and Docker/Kubernetes deployment.
Google Agent Development Kit (ADK) for Python. Capabilities: AI agent building, multi-agent systems, workflow agents (sequential/parallel/loop), tool integration (Google Search, Code Execution), Vertex AI deployment, agent evaluation, human-in-the-loop flows. Actions: build, create, deploy, evaluate, orchestrate AI agents. Keywords: Google ADK, Agent Development Kit, AI agent, multi-agent system, LlmAgent, SequentialAgent, ParallelAgent, LoopAgent, tool integration, Google Search, Code Execution, Vertex AI, Cloud Run, agent evaluation, human-in-the-loop, agent orchestration, workflow agent, hierarchical coordination. Use when: building AI agents, creating multi-agent systems, implementing workflow pipelines, integrating LLM agents with tools, deploying to Vertex AI, evaluating agent performance, implementing approval flows.
Complete guide for Apache Airflow orchestration including DAGs, operators, sensors, XComs, task dependencies, dynamic workflows, and production deployment
Use when preparing a Bknd application for production deployment. Covers security hardening, environment configuration, isProduction flag, JWT settings, Guard enablement, CORS, media storage, and production checklist.
Configure Exa across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or implementing environment-specific Exa configurations. Trigger with phrases like "exa environments", "exa staging", "exa dev prod", "exa environment setup", "exa config by env".
Automate Render tasks via Rube MCP (Composio): services, deployments, projects. Always search tools first for current schemas.
.NET SDK and runtime installation across Windows, macOS, and Linux. Handles version detection, platform-specific installers (WinGet, Homebrew, apt, dnf), SDK vs runtime selection, offline installation, Docker setup, and troubleshooting. Auto-activates for .NET installation, setup, version management, and multi-platform deployment.