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Azure deployment for web apps — Static Web Apps, App Service, Blob Storage, Bicep/ARM, GitHub Actions CI/CD. Use when deploying Next.js/Vite to Azure or configuring Azure resources for full-stack apps.

Deploy and manage projects on Vercel using token-based authentication. Use when working with Vercel CLI using access tokens rather than interactive login — e.g. "deploy to vercel", "set up vercel", "add environment variables to vercel".

Automate Render tasks via Rube MCP (Composio): services, deployments, projects. Always search tools first for current schemas.

Uses Agent SDK to deploy 3 parallel agents for client onboarding -- workflow auditor, tech stack mapper, and strategy drafter. Real consulting workflow that produces a complete client assessment.

Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management. Coordinates release-manager, cicd-engineer, tester, and docs-writer agents through hierarchical topology to handle semantic versioning, changelog generation, release notes, deployment validation, and post-release monitoring. Supports multiple release strateg

Deploying Expo apps to iOS App Store, Android Play Store, web hosting, and API routes

This skill should be used as a mandatory final sanity check before git commit, PR creation, or declaring work done. Triggers on "commit", "push", "PR", "pull request", "done", "finished", "complete", "ship", "deploy", "ready to merge". Catches security vulnerabilities, logic errors, and business rule bugs that slip through despite passing tests.

Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes configurations.

Train AI agents using AgentDB's 9 reinforcement learning algorithms including Q-Learning, DQN, PPO, and Actor-Critic. Build self-learning agents, implement RL training loops with experience replay, and deploy optimized models to production.

Orientação especializada para operações do Google Kubernetes Engine (GKE), cobrindo gerenciamento de clusters, implantação de cargas de trabalho, escalonamento, monitoramento, solução de problemas e otimização. Use para clusters GKE, Kubernetes no GCP, orquestração de contêineres ou assistência com kubectl, rede GKE, autoescalonamento, identidade de carga de trabalho e recursos GKE como Autopilot.

Esta skill é ideal para projetos Firebase, cobrindo inicialização, adição de Cloud Functions ou coleções Firestore, depuração de emuladores e revisão de código. É acionada por termos como firebase, firestore, cloud functions, emulator, firebase auth, deploy to firebase e firestore rules.

Skill unificada de implantação de modelos Azure OpenAI com roteamento inteligente baseado em intenção. Gerencia implantações rápidas predefinidas, implantações totalmente personalizadas (versão/SKU/capacidade/política RAI) e descoberta de capacidade entre regiões e projetos.