DevOps & Infra

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Provides foundational Firebase CLI setup, CLI installation, version checks (`firebase-tools@latest --version`), CLI login (including --no-localhost), project creation, project selection (`firebase use`), and app config file downloads (`google-services.json`, `GoogleService-Info.plist`). Use ONLY for CLI login, project creation/switching, or downloading app config files. Don't use for Firebase Hosting deploy, Firestore, Auth, App Hosting, Data Connect, Crashlytics, or Remote Config.

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Transform monolithic Terraform configurations into reusable, maintainable modules following HashiCorp's module design principles and community best practices.

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Build Windows images with Packer using WinRM communicator and PowerShell provisioners. Use when creating Windows AMIs, Azure images, or VMware templates.

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Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).

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This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server instances as resources in Cloud SQL. For example, when Cloud SQL creates an open-source MySQL instance, the resulting resource is a Cloud SQL for MySQL instance that Google Cloud manages. Cloud SQL handles backups, high availability, and secure connectivity for relational database workloads.

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Implement Terraform Provider actions using the Plugin Framework. Use when developing imperative operations that execute at lifecycle events (before/after create, update, destroy).

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Comprehensive guide for working with HashiCorp Terraform Stacks. Use when creating, modifying, or validating Terraform Stack configurations (.tfcomponent.hcl, .tfdeploy.hcl files), working with stack components and deployments from local modules, public registry, or private registry sources, managing multi-region or multi-environment infrastructure, or troubleshooting Terraform Stacks syntax and structure.

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AWS account の IAM API が MFA 必須 policy で弾かれる場面の診断と aws-vault 設定。`sts:GetCallerIdentity` は通るのに `iam:*` が `InvalidClientTokenId` で拒否されるとき、または FIDO2 passkey で MFA が CLI から使えないとき。

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Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.

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Configures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus. Use when configuring GKE monitoring, setting up GKE logging, or configuring Prometheus metrics collection. Don't use to configure local application logging frameworks or external APMs outside GKE.

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Generates Python code using BigQuery DataFrames (BigFrames), the pandas/scikit-learn-style API over BigQuery. Use when writing BigFrames code or doing pandas-style dataframe/ML work against BigQuery (e.g. in a notebook). Don't use for SQL-first workflows or the google-cloud-bigquery client library — use bigquery-basics.

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Implement Terraform Provider resources and data sources using the Plugin Framework. Use when developing CRUD operations, schema design, state management, and acceptance testing for provider resources.

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Build Azure managed images and Azure Compute Gallery images with Packer. Use when creating custom images for Azure VMs.

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Prepares production launches. Use when preparing to deploy to production. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.

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Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.

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Guide for running acceptance tests for a Terraform provider. Use this when asked to run an acceptance test or to run a test with the prefix `TestAcc`.

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Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).

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Generate Terraform HCL code following HashiCorp's official style conventions and best practices. Use when writing, reviewing, or generating Terraform configurations.

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Azure Verified Modules (AVM) requirements and best practices for developing certified Azure Terraform modules. Use when creating or reviewing Azure modules that need AVM certification.

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Use this when scaffolding a new Terraform provider.

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Terraform provider acceptance test patterns using terraform-plugin-testing with the Plugin Framework. Covers test structure, TestCase/TestStep fields, ConfigStateChecks with custom statecheck.StateCheck implementations, plan checks, CompareValue for cross-step assertions, config helpers, import testing with ImportStateKind, sweepers, and scenario patterns (basic, update, disappears, validation, regression), and ephemeral resource testing with the echoprovider package. Use when writing, reviewing, or debugging provider acceptance tests, including questions about statecheck, plancheck, TestCheckFunc, CheckDestroy, ExpectError, import state verification, ephemeral resources, or how to structure test files.

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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".

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Discover existing cloud resources using Terraform Search queries and bulk import them into Terraform management. Use when bringing unmanaged infrastructure under Terraform control, auditing cloud resources, or migrating to IaC.

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Use this skill to manage Google Cloud Workload Manager evaluations, rules, scanned resources, and validation results by using public client libraries and the REST API. Use when you need to inspect workload best-practice rules, create and run evaluations for Google Cloud general best practices, SAP, SQL Server, or custom organizational rules, review violations, export results to BigQuery, or automate Workload Manager through client libraries because no service-specific public CLI or MCP server is available. Don't use for general Google Compute Engine instance management, VPC configuration, or standard IAM auditing.

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Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama, DeepSeek, Qwen, etc.). Use when asked to perform inference, ask a model a question, run a test prompt, execute chat completions, or generate code for calling Gemini or OpenMaaS models, authenticate with GenAI SDK, OpenAI SDK, or legacy Agent Platform SDK, configure base URLs and global/regional endpoints, or troubleshoot 429 Resource Exhausted (DSQ), 400 User Validation, or 404 Not Found errors. Don't use for deploying models to endpoints or for running model evaluations.

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Provides expert guidance on authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.

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Generates security-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate workloads, identify security requirements, and provide actionable recommendations for IAM, network security, data protection, and operational security.

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Construtor de Pipeline CI/CD — gera pipelines pragmáticos a partir de sinais detectados do stack do projeto, com estágios de lint, test, build e deploy, e suporte a GitHub Actions e GitLab CI.

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Skill de engenharia de ML para colocar modelos em produção, construir pipelines MLOps e integrar LLMs. Cobre implantação de modelos, feature stores, monitoramento de drift, sistemas RAG e otimização de custos. Use quando o usuário perguntar sobre implantar modelos de ML em produção, configurar infraestrutura MLOps (MLflow, Kubeflow, Kubernetes, Docker), monitorar performance ou drift de modelos, construir pipelines RAG ou integrar APIs de LLM com lógica de retry e controles de custo.

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Automação de testes: unitários (Jest, Pytest), integração (supertest, httpx) e E2E com Playwright. Inclui estratégia de pirâmide de testes, cobertura mínima, CI/CD integration e testes para contexto brasileiro (CPF, CNPJ, CEP, PIX).

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Projete arquiteturas GCP para startups e empresas. Use ao projetar infraestrutura Google Cloud, implantar no GKE ou Cloud Run, configurar pipelines BigQuery, otimizar custos GCP ou migrar para GCP. Cobre Cloud Run, GKE, Cloud Functions, Cloud SQL, BigQuery e otimização de custos.

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Administração de tenant Microsoft 365 para Administradores Globais. Automatize configuração de tenant M365, tarefas de administração do Office 365, gerenciamento de usuários Azure AD, configuração do Exchange Online, administração do Teams e políticas de segurança. Gere scripts PowerShell para operações em massa, políticas de Acesso Condicional, gerenciamento de licenças e relatórios de conformidade. Use para gerenciamento de tenant M365, admin Office 365, usuários Azure AD, Administrador Global, configuração de tenant ou automação Microsoft 365.

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Skill de engenharia de dados para construção de pipelines de dados escaláveis, sistemas ETL/ELT e infraestrutura de dados. Expertise em Python, SQL, Spark, Airflow, dbt, Kafka e o stack de dados moderno. Inclui modelagem de dados, orquestração de pipeline, qualidade de dados e DataOps. Use quando projetar arquiteturas de dados, construir pipelines de dados, otimizar fluxos de trabalho de dados, implementar governança de dados ou solucionar problemas de dados.

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Projete arquiteturas Azure para startups e empresas. Use ao projetar infraestrutura Azure, criar templates Bicep/ARM, otimizar custos Azure, configurar pipelines Azure DevOps ou migrar para Azure. Cobre AKS, App Service, Azure Functions, Cosmos DB e otimização de custos.

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Engenheiro Android sênior especializado em Kotlin, Jetpack Compose, Coroutines, Flow, arquitetura (Clean Architecture, MVI/MVVM), Hilt DI, Room, Retrofit, testes (JUnit5, Turbine, Paparazzi), CI/CD (Gradle, GitHub Actions, Firebase App Distribution) e publicação na Play Store. Use ao desenvolver apps Android nativos, revisar código Kotlin, otimizar performance de UI, implementar Material Design 3, trabalhar com KMP, integrar SDKs ou quando o usuário mencionar Android, Kotlin, Jetpack Compose, Play Store ou Gradle.

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Projete arquiteturas AWS para startups usando padrões serverless e templates de IaC. Use ao projetar arquitetura serverless, criar templates CloudFormation, otimizar custos AWS, configurar pipelines CI/CD ou migrar para AWS. Cobre Lambda, API Gateway, DynamoDB, ECS, Aurora e otimização de custos.