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Go-specific container optimization patterns including static binary compilation, scratch/distroless base images, CGO handling, and systematic optimization journey from 846MB to 2.5MB (99.7% reduction). Covers ldflags, trimpath, and build flag optimizations specific to Go applications. Use when working with Go containers, Dockerfiles for Go apps, or optimizing Go image sizes.
Container development with Docker, Dockerfiles, 12-factor principles, multi-stage builds, and Skaffold workflows. Enforces MANDATORY non-root users, minimal Alpine/slim base images, and security hardening. Covers containerization, orchestration, and secure image construction. Use when user mentions Docker, Dockerfile, containers, docker-compose, multi-stage builds, container images, container security, or 12-factor app principles.
Takaro repository knowledge - monorepo structure, tests, Docker setup, debugging, database migrations, brittle test investigation. Use when working on this codebase, running tests, debugging issues, investigating flaky tests, or understanding the project structure. (project)
Complete Docker FFmpeg deployment system. PROACTIVELY activate for: (1) Docker FFmpeg image selection (jrottenberg, linuxserver), (2) GPU passthrough (NVIDIA, Intel, AMD), (3) Volume mounting and permissions, (4) Docker Compose video processing, (5) Kubernetes FFmpeg jobs, (6) Custom Dockerfile builds, (7) Windows/Linux/macOS Docker usage, (8) Resource limits and optimization, (9) Watch folder automation, (10) Production container patterns. Provides: Image comparison tables, GPU Docker commands, Compose examples, K8s manifests, troubleshooting guides. Ensures: Consistent, isolated FFmpeg environments across platforms.
Complete live streaming and protocol system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) RTMP streaming to Twitch/YouTube/Facebook, (2) HLS output and adaptive bitrate (ABR), (3) DASH streaming setup, (4) Low-latency streaming (LL-HLS, LL-DASH), (5) SRT protocol configuration, (6) WebRTC/WHIP sub-second latency (FFmpeg 8.0+), (7) Protocol conversion (RTMP to HLS), (8) Multi-destination streaming, (9) nginx-rtmp integration, (10) Docker streaming services. Provides: Platform-specific stream commands, ABR ladder examples, encryption setup, latency optimization, WHIP authentication, production patterns. Ensures: Reliable live streaming with optimal quality and latency.
Complete Cloudflare Container FFmpeg system. PROACTIVELY activate for: (1) Cloudflare Containers setup, (2) Native FFmpeg at edge, (3) GPU-accelerated containers, (4) Durable Objects integration, (5) R2 storage for video files, (6) Container autoscaling, (7) Streaming large files, (8) Workers + Containers architecture, (9) Live streaming relay at edge, (10) Container vs Workers comparison. Provides: Dockerfile examples, Worker code, container configuration, GPU setup, R2 integration, production patterns. Ensures: Native FFmpeg performance at Cloudflare edge with full GPU support.
Complete GPU-accelerated encoding/decoding system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) NVIDIA NVENC/NVDEC encoding, (2) Intel Quick Sync Video (QSV), (3) AMD AMF encoding, (4) Apple VideoToolbox, (5) Linux VAAPI setup, (6) Vulkan Video 8.0 (FFv1, AV1, VP9, ProRes RAW), (7) VVC/H.266 hardware decoding (VAAPI/QSV), (8) GPU pipeline optimization with pad_cuda, (9) Docker GPU containers, (10) Performance benchmarking. Provides: Platform-specific commands, preset comparisons, quality tuning, full GPU pipeline examples, Vulkan compute codecs, VVC decoding, troubleshooting guides. Ensures: Maximum encoding speed with optimal quality using GPU acceleration.
Complete Python Cloudflare deployment system. PROACTIVELY activate for: (1) Python Workers with Pyodide, (2) FastAPI on Workers, (3) Cloudflare Containers for heavy compute, (4) Service bindings (RPC), (5) Environment variables in Workers, (6) Cold start optimization, (7) Workflows for durable execution, (8) GPU containers for AI. Provides: Worker code patterns, wrangler config, Dockerfile templates, FastAPI integration. Ensures edge deployment with proper architecture choices.
Prepares ML models for production deployment with containerization, API creation, monitoring setup, and A/B testing. Activates for "deploy model", "production deployment", "model API", "containerize model", "docker ml", "serving ml model", "model monitoring", "A/B test model". Generates deployment artifacts and ensures models are production-ready with monitoring, versioning, and rollback capabilities.
DevOps specialist for CI/CD, infrastructure as code, and deployment automation. Invoke for pipelines, Docker, Kubernetes, cloud platforms, GitOps. Keywords: DevOps, CI/CD, Docker, Kubernetes, Terraform, GitHub Actions.
Choose deployment strategy and infrastructure. Use when deciding where to deploy applications, setting up CI/CD, or configuring production environments. Covers Vercel, Railway, AWS, Cloudflare Workers, and Docker.
ACTIVE router that detects development tasks and spawns specialized agents. Activates for: React, Vue, Next.js, frontend, dashboard, component, UI, UX, GitHub, API, backend, database, SQL, PostgreSQL, MongoDB, Redis, Kubernetes, K8s, Docker, Terraform, AWS, Azure, GCP, infrastructure, ML, machine learning, model, training, AI, data science, testing, TDD, test-driven, Vitest, Jest, Playwright, E2E, mobile, React Native, iOS, Android, Expo, Kafka, streaming, event-driven, messaging, payments, Stripe, checkout, billing, subscriptions, release, deploy, CI/CD, pipeline, version, diagram, architecture, C4, Mermaid, flowchart, increment, specweave, /sw:, spec.md, tasks.md, living docs.
Provisions infrastructure on Hetzner Cloud with Terraform/Pulumi. Generates IaC code for CX11/CX21/CX31 instances, managed Postgres, SSL configuration, Docker deployment. Activates for deploy on Hetzner, Hetzner Cloud, budget deployment, cheap hosting, $10/month hosting.
Comprehensive Docker security guidelines and threat mitigation strategies
Generate optimized Dockerfiles and docker-compose.yml with best practices and multi-stage builds
Docker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestration, and production deployment patterns. Use PROACTIVELY for Dockerfile optimization, container issues, image size problems, security hardening, networking, and orchestration challenges.
Creates blueprint-driven skills for infrastructure and deployment tasks. This skill should be used when creating new skills that require templates, patterns, or reference configurations (e.g., Dockerfiles, Helm charts, Kubernetes manifests, CI/CD pipelines). It enforces impact analysis before containerization, identifies environment requirements, network topology changes, and auth/CORS implications. Use this skill when building deployment-related skills or when containerizing applications.
Containerizes applications with impact-aware Dockerfiles and docker-compose configurations. This skill should be used when containerizing projects for Docker, creating Dockerfiles, docker-compose files, or preparing applications for Kubernetes deployment. It performs impact analysis first (env vars, network topology, auth/CORS), then generates properly configured container configs. Invokes the impact-analyzer subagent for comprehensive project scanning.
Validate Kubernetes deployments before execution. Run pre-flight checks for password generation, environment variables, database authentication, CORS configuration, and docker-compose parity. Use this skill BEFORE every Helm install/upgrade to prevent deployment failures.
