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Found 819 Skills
Guides Android code reviews with type-specific checklists and MVVM/Compose pattern validation. Use when reviewing Android PRs, pull requests, diffs, or local changes involving Kotlin, ViewModel, Composable, Repository, or Gradle files. Triggered by "review PR", "review changes", "check this code", "Android review", or code review requests mentioning bitwarden/android. Loads specialized checklists for feature additions, bug fixes, UI refinements, refactoring, dependency updates, and infrastructure changes.
Use when working with Infrastructure as Code tools and platforms. Covers Terraform, Pulumi, CloudFormation, Bicep, ARM, Kubernetes, Helm, Docker, Crossplane, and Dagger. USE FOR: choosing IaC tools, comparing Terraform vs Pulumi vs CloudFormation, infrastructure strategy DO NOT USE FOR: specific tool syntax (use the sub-skills: terraform, pulumi, bicep, etc.)
Reference guide for Agentica multi-agent infrastructure APIs
Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.
TDD and testing skills for iOS/macOS apps. Covers characterization tests, TDD workflows, test contracts, snapshot tests, and test infrastructure. Use for test-driven development, adding tests to existing code, or building test infrastructure.
Use this skill when building data pipelines, ETL/ELT workflows, or data transformation layers. Triggers on Airflow DAG design, dbt model creation, Spark job optimization, streaming vs batch architecture decisions, data ingestion, data quality checks, pipeline orchestration, incremental loads, CDC (change data capture), schema evolution, and data warehouse modeling. Acts as a senior data engineer advisor for building reliable, scalable data infrastructure.
Develop e-commerce strategy for Southeast Asian markets including platform selection, payment infrastructure, logistics challenges, and localization requirements. Use this skill when the user is expanding e-commerce to SEA, evaluating Shopee vs Lazada vs Tokopedia, or needs to understand SEA market differences — even if they say 'sell to Southeast Asia', 'which platform in Vietnam', 'SEA payment methods', or 'cross-border e-commerce in ASEAN'.
Microservice architecture patterns — service decomposition, inter-service communication, API gateway, saga pattern, event-driven architecture, service mesh, circuit breaker, CQRS, event sourcing. Activate on "microservices", "service decomposition", "saga pattern", "API gateway", "event-driven", "service mesh", "circuit breaker", "CQRS", "event sourcing", "bounded context", "strangler fig", "distributed transactions", "choreography vs orchestration". NOT for monolith design, serverless functions, or Kubernetes infrastructure.
Create professional system architecture diagrams with support for dark/light dual theme switching, output as standalone HTML files (containing SVG graphics). Use this skill when users need system architecture diagrams, infrastructure topology diagrams, cloud architecture visualizations, security architecture diagrams, network topology diagrams, or any technical diagrams that display system components and their relationships. Supports Chinese annotations and descriptions, with a built-in theme switch button.
Set up metrics collection and visualization with Prometheus and Grafana. Configure scrape targets, create PromQL queries, build dashboards, and implement alerting. Use when implementing monitoring, metrics collection, or visualization for applications and infrastructure.
Automates declarative resource creation and provisioning for data pipelines, supporting BigQuery, Dataform, Dataproc, BigQuery Data Transfer Service (DTS), and other resources. It manages environment-specific configurations (dev, staging, prod) through a deployment.yaml file. Use when: - Modifying or creating deployment.yaml for deployment settings. - Resolving environment-specific variables (e.g., Project IDs, Regions) for deployment. - Provisioning supported infrastructure like BigQuery datasets/tables, Dataform resources, or DTS resources via deployment.yaml. Do not use when: - Resources already exist. - Managing resources not supported by `gcloud beta orchestration-pipelines resource-types list`. - Managing general cloud infrastructure (VMs, networks, Kubernetes, IAM policies), which are better suited for Terraform. - Infrastructure spans multiple cloud providers (AWS, Azure, etc.). - Already uses Terraform for the target resources.
Guides agents through a structured 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload requirements to opinionated best-practice configurations. Use when: - Designing, configuring, or deploying a Google Cloud global external Application Load Balancer, Cloud CDN, Cloud Armor WAF, or Service Extensions. - Discovering existing Google Cloud resources (Cloud Storage buckets, Compute Engine MIGs, GKE, Cloud Run) to use as load balancer backends. - Generating production-grade Terraform HCL or gcloud CLI scripts for global external Application Load Balancer configurations. - Actuating deployments via Infrastructure Manager or bash scripts, including performing IAM pre-checks. - Detecting, analyzing, or reconciling configuration drift on deployed global external Application Load Balancers. Don't use for: - Non-Google Cloud load balancing or security configurations. - Purely regional or internal load balancing setups (unless part of a hybrid/failover global design).