ecs plugins

Bevy game engine development - ECS, rendering, game architecture

by o11y.dev

Expert OpenTelemetry guidance for collector configuration, pipeline design, production telemetry instrumentation, and deployment architecture across Kubernetes, ECS, serverless, and standalone environments.

by Amazon Web Services

Personalized AWS guidance built on patterns from 350,000+ startups—architecture, cost, security, and migration, from day-one account setup to production-ready infrastructure. Migrate to AWS from GCP or Heroku—including your entire AI stack: OpenAI/Gemini/Anthropic SDK rewrites to Amazon Bedrock, agentic systems (LangChain, CrewAI, AutoGen) to AWS-native runtimes, and Temporal workers. Includes AWS Activate credits eligibility and 60+ exclusive startup offers. Built by AWS Startup Solutions Architects, with multi-account, multi-region support.

by Matt Corbett

AWS cloud infrastructure & platform team — agents (aws-architect, aws-iam-identity-engineer, aws-network-engineer, aws-compute-platform-engineer, aws-ops-finops-engineer) for the AWS layer of a stack: multi-account landing zones (Organizations, Control Tower, SCPs), least-privilege IAM (roles over keys, IRSA, permission boundaries, Identity Center), VPC networking (subnets, security groups, PrivateLink/endpoints, Transit Gateway), compute selection (Lambda / ECS / EKS / Fargate / App Runner), event-driven integration (SQS/SNS/EventBridge/Step Functions), and observability + FinOps + Well-Architected governance. skills, a decision-tree knowledge bank (compute-selection + account-strategy trees + a dated 2026 capability map), best-practices, templates, commands, an advisory hook. Multi-cloud seam to azure-cloud/gcp-cloud; IaC -> terraform-iac; containers -> cloud-native-kubernetes; security verdicts -> ravenclaude-core/security-reviewer. Requires ravenclaude-core@>=0.7.0.

by Matt Corbett

Game Development specialist team — agents (gamedev-producer, game-designer, gameplay-engineer, live-ops-analyst), skills, templates, commands, an advisory hook, best-practice rules, a research-grounded knowledge bank with Mermaid decision trees (production/design/live-ops + runtime-performance frame/GC/draw-call/memory budgets + engine-selection/ECS-vs-OOP/networking-model), a scenarios bank (frame-time GC hitch, draw-call batching, netcode rollback, save-system migration), a stdlib frame/CPU-GPU/memory budget calculator (scripts/gamedev_budget.py), and a bundled C# (Roslyn, stdio) LSP config. Scopes to a vertical slice, designs core loops and economies that retain, runs production on milestones and risk burn-down, reads live-ops on retention/monetization, and diagnoses frame-budget/draw-call/netcode/save-migration problems. Inherits ravenclaude-core protocols.