Cloud, CI/CD, monitoring, and deployment (7.3K skills)
Production Docker containerization, BuildKit, distroless, and Compose / Kontainerisasi Docker produksi, BuildKit, distroless, dan Compose.
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Real-time log monitoring, crash detection, and auto-hotfixing / Pemantauan log real-time, deteksi crash, dan auto-hotfix kode.
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WebAssembly (WASM) and edge computing: WASI preview 2 and Cloudflare / WebAssembly (WASM) dan edge computing: WASI preview 2 dan Cloudflare.
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Production LLM observability, token cost tracking, and GenAI tracing / Observabilitas LLM produksi, pelacakan biaya, dan tracing GenAI.
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Proactive background task scheduling, API polling, and log monitoring / Penjadwalan background task proaktif dan pemantauan sistem.
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Scheduled cron tasks and background workflows (Vercel, Cloudflare) / Tugas terjadwal cron dan background job (Vercel, Cloudflare).
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Multi-tenant SaaS deployment on modern edge (Vercel, Cloudflare) / Deployment SaaS multi-tenant di edge modern (Vercel, Cloudflare).
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CI/CD deployment pipelines, Docker, Kubernetes, and IaC architectures / Pipeline deploy CI/CD, Docker, Kubernetes, dan arsitektur IaC.
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Phase C of a WinForms-to-Avalonia migration: implement platform and infrastructure adapters for dependencies discovered in Phase A/B, such as persistence, process execution, dialogs, notifications, or environment capabilities. Use only in an explicit migration when such dependencies leak into Forms/core or when the orchestrator routes here. Do not invent adapters for capabilities the product does not have, and do not implement main-window XAML.
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Windows 11 system administration with PowerShell — system info reporting, hardware monitoring, package management (winget/scoop), disk cleanup, performance optimization, environment configuration, PowerShell profile setup with aliases and autocomplete, and Task Scheduler automation. Use when user asks to check system info, install tools on Windows, clean up disk space, set up PowerShell profile, or automate Windows tasks. Do NOT use for Linux administration, cross-platform scripting, or network infrastructure management.
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Design and manage infrastructure as code with Terraform — modules, remote state (S3 + DynamoDB), Stacks (deployments), test framework, preconditions/postconditions, moved/removed blocks, and CI/CD plan/apply separation. Use when user asks to write Terraform config, set up remote state, design modules, manage state, or automate infrastructure. Do NOT use for Kubernetes (use kubernetes), Docker (use docker), or CI/CD pipeline design (use ci-cd).
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Build production Flutter apps with Clean Architecture, Riverpod (preferred over Bloc/Provider), GoRouter navigation, Impeller rendering engine, Dart 3.7+ patterns, platform channels via Pigeon, and App Store/Play Store deployment.
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Deploy, manage, and debug Kubernetes in production — Deployments, Services, Gateway API, Service Mesh (Istio/Linkerd/Cilium), eBPF observability (Cilium Hubble), security hardening (Pod Security Standards, OPA/Kyverno, seccomp, runtime security with Falco/Tetragon), Helm, HPA, PDB, topology spread, and debugging. Use when user asks to write K8s manifests, deploy to a cluster, debug pods, set up Gateway API, configure autoscaling, or harden cluster security. Do NOT use for Dockerfiles (use docker), CI/CD pipeline design (use ci-cd), or Terraform infrastructure (use terraform).
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Design error handling, structured logging, and observability with OpenTelemetry (traces, metrics, logs), error classification, recovery patterns (retry with jitter, circuit breaker, bulkhead, timeout), error budgets/SLOs with burn rate alerts, and production incident triage. Use when user asks to implement error handling, logging, monitoring, observability, OpenTelemetry, error boundaries, circuit breakers, retry logic, or SLO tracking. Do NOT use for incident runbooks (use runbook-gen), vendor-specific APM setup (Datadog, Sentry agent config), or K8s debugging.
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Optimize Docker images with multi-stage builds, distroless bases, BuildKit cache mounts, multi-arch builds, compose watch, security hardening (non-root, seccomp, capabilities drop), and vulnerability scanning via docker scout/trivy. Use when user asks to write a Dockerfile, optimize image size, set up docker-compose, debug containers, harden container security, or scan for CVEs. Do NOT use for Kubernetes deployments (use kubernetes), CI/CD pipeline design (use ci-cd), or Terraform (use terraform).
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PostgreSQL database administration — backup/restore (pg_dump, PITR, WAL archiving), health monitoring (connections, bloat, cache hit ratio, dead tuples), connection pooling (PgBouncer), replication (streaming, logical), vacuum/autovacuum tuning, and scheduled backups with retention. Use when user asks to backup a database, restore from backup, monitor database health, set up replication, or perform DBA tasks. Do NOT use for schema design (use db-sculptor), query optimization (use db-sculptor), or migration planning (use db-sculptor).
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Create or extend reusable Terraform modules with proper structure, interfaces, and documentation. Use when building new infrastructure modules or extending existing ones.
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Quick reference for Terraform conventions including file organization, naming, modules, state, security, and anti-patterns. Use when writing or reviewing Terraform code.
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Create a structured on-call log by pulling alerts from monitoring and writing a summary to your team's wiki. Requires a monitoring MCP (recommended: Datadog) and a wiki MCP (Confluence or Notion).
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Generate complete service-level Terraform infrastructure with modules, environments, and CI/CD. Use when adding Terraform to a new service or bootstrapping infrastructure from scratch.
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PR review checklist for Terraform changes covering structure, state safety, security, naming, modules, variables, providers, and CI/CD. Use when reviewing Terraform PRs or doing pre-merge checks.
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Investigate a monitoring alert end-to-end. Pulls metrics, logs, traces, and recent code changes to identify root cause. Works with any monitoring MCP.
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CI/CD pipeline patterns for GitHub Actions, PR automation, and deployment workflows. Use when setting up CI, fixing broken pipelines, automating PR checks, or configuring deployment.
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Aurora Smart Home orchestrator — routing layer for all smart home skills. Use this skill when the user asks ANY smart home question and you need to decide which skill to invoke, or when a task spans multiple skills (e.g., "build a sensor that shows on a dashboard and triggers automations"). Invoke aurora FIRST before reaching for a specific skill — it will route to the right specialist(s) and recommend the correct Claude model to keep token usage efficient. Trigger on: smart home, Home Assistant, ESPHome, automation, IoT, dashboard, ESP32, Node-RED, or any request about controlling or monitoring devices at home.
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