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By JosiahSiegel
Provision and manage Azure infrastructure for 2025-2026 AI/ML workloads using AKS Automatic mode, GPU Container Apps, Deployment Stacks, Azure OpenAI GPT-5 models, and ML Foundry workspaces. Generate CLI/PowerShell/Terraform commands, apply Well-Architected Framework best practices for security, networking, cost optimization, debugging, and private endpoints.
npx claudepluginhub josiahsiegel/claude-plugin-marketplace --plugin azure-masterBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
This skill should be used when the user asks about "AKS Automatic", "managed Kubernetes", "Karpenter autoscaling", "AKS zero operational overhead", "AKS 2025", "AKS billing model", "NodePool CRD", "HPA VPA KEDA on AKS", "AKS workload identity", or needs guidance on Azure Kubernetes Service Automatic mode GA 2025 features.
This skill should be used when the user asks about "Azure Machine Learning workspace", "Azure AI Foundry", "ML workspace networking", "ML private endpoints", "ML compute clusters", "ML compute instances", "ML endpoint deployment", "managed online endpoints", "batch endpoints", "Kubernetes endpoints", "ML managed identities", "ML ACR integration", "ML storage accounts", "az ml CLI commands", "PowerShell Az.MachineLearningServices", "ML compute instance logs", "ML deployment logs", "ML job logs", "ML troubleshooting", "ML debugging", "terraform azurerm_machine_learning_workspace", "terraform ML compute cluster", "ML GPU SKUs", "ML NSG rules", "ML DNS configuration", "ML VNet integration", "ML managed network", "serverless compute", or "ML endpoint logs". Comprehensive deep-dive reference for Azure Machine Learning Workspace (Azure AI Foundry) covering architecture, networking, private endpoints, compute, endpoints, managed identities, ACR, storage, all az ml CLI commands, PowerShell commands, log reading, debugging, and Terraform integration.
This skill should be used when the user asks about "Azure OpenAI", "GPT-5", "GPT-4.1", "Azure reasoning models", "o3 model", "o4-mini", "Azure AI Foundry models", "Azure OpenAI deployment", "Azure OpenAI SDK", "Sora on Azure", or needs guidance on Azure OpenAI Service 2025 models and deployment patterns.
This skill should be used when the user asks about "Well-Architected Framework", "Azure reliability", "Azure security best practices", "Azure cost optimization", "Azure performance efficiency", "operational excellence", "cloud architecture review", "Azure design principles", or needs guidance on building robust, secure, cost-effective Azure solutions.
This skill should be used when the user asks about "Container Apps GPU", "serverless GPU", "Container Apps Dapr", "Container Apps scale-to-zero", "Container Apps AI workloads", "Container Apps jobs", "Container Apps Foundry Models", or needs guidance on Azure Container Apps with GPU support and serverless capabilities (2025 GA features).
Complete Azure-to-Docker migration system for local development with 2025 features. PROACTIVELY activate for: (1) ANY Azure-to-Docker migration task, (2) Azure infrastructure extraction and Docker Compose generation, (3) Azure service emulator setup (Azurite 2025-11-05 API, SQL Server 2025 latest, Cosmos DB vnext Linux, Service Bus official emulator), (4) Local development with Docker Compose Watch mode (hot reload), (5) Database export from Azure SQL/PostgreSQL/MySQL to Docker, (6) Dockerfile generation from Azure App Service configurations, (7) Multi-container orchestration with proper networking and dependencies, (8) Production-ready Docker Compose with health checks and runtime secrets, (9) Azure service mapping (App Service/SQL/Storage/Redis/Cosmos/Service Bus), (10) Development-to-production parity with Azure emulators. Provides: Azure resource extraction and analysis, complete Docker Compose generation with 2025 best practices, Azure emulator configuration (Azurite with latest API, SQL Server 2025 with Vector Search, Cosmos DB vnext Linux-based, official Service Bus emulator), Docker Compose Watch mode for hot reload, database export automation, App Service to Dockerfile conversion, service dependency mapping, network isolation patterns, volume management strategies, environment variable templating, health check implementation, resource limit configuration, security hardening (non-root users, read-only filesystems, capability drops, runtime-only secrets), development override patterns with watch mode, and Azure-to-Docker best practices. Ensures production-ready local development environments that mirror Azure infrastructure with instant hot reload capabilities.
Editorial "Azure AI & Cloud" bundle for Claude Code from Antigravity Awesome Skills.
Expert bash/shell scripting system with Bash 5.3 features, 2025 security-first practices, advanced array patterns, parallel processing, and comprehensive cross-platform support. PROACTIVELY activate for: (1) ANY bash/shell script task, (2) Windows Git Bash path conversion (MSYS_NO_PATHCONV, cygpath), (3) Bash 5.3 features (${ } in-shell substitution, ${| } REPLY syntax, BASH_TRAPSIG, GLOBSORT, fltexpr, BASH_MONOSECONDS), (4) Security-first patterns (input validation, command injection prevention), (5) ShellCheck v0.11.0 validation (SC2327/SC2328, POSIX.1-2024), (6) Advanced arrays (mapfile, readarray, associative arrays, set operations), (7) Parallel processing (GNU Parallel, xargs -P, job pools, worker patterns), (8) Process substitution and FIFOs (coprocesses, named pipes, streaming), (9) String manipulation mastery (parameter expansion, regex, pattern matching), (10) Modern automation (containers/CI/CD/cloud), (11) Scripts under 50 lines (Google Style), (12) Debugging and profiling (tracing, performance optimization), (13) DevOps/deployment automation. Provides: bash-expert agent for complex tasks, /bash-analyze for script analysis, /bash-template for production-ready templates, /bash-optimize for performance optimization, utility scripts (parallel-runner, shellcheck-batch, script-profiler), comprehensive skills for array patterns, process substitution, parallel processing, and string manipulation. Ensures secure, optimized, cloud-native scripts following 2025 standards.
Complete Azure Data Factory expertise for pipeline JSON development, validation, and optimization (2025-2026). This plugin should be used for ADF pipeline creation, activity configuration, linked services, datasets, triggers, expressions, CI/CD, Microsoft Fabric integration, Databricks orchestration, ML pipeline patterns, and debugging.
Complete Vitest 4.0 Playwright 1.56 MSW 2.x testing system with 2025 best practices and Windows/Git Bash support. PROACTIVELY activate for: (1) ANY testing task (unit/integration/E2E/visual), (2) Browser Mode testing (Vitest 4.0 stable release Oct 2025), (3) Visual regression testing (toMatchScreenshot), (4) Playwright AI Test Agents (planner/generator/healer), (5) Test annotation and metadata (Vitest 3.2+), (6) Mutation testing for quality assurance, (7) Test creation and scaffolding, (8) Playwright Traces debugging with titlePath, (9) Coverage analysis and optimization, (10) MSW 2.x mock management with happy-path-first patterns, (11) Role-based locator patterns, (12) CI/CD test setup, (13) Multi-project test architecture, (14) Line-number filtering, (15) Windows/Git Bash cross-platform testing. Provides: Vitest 4.0 features (stable browser mode, visual regression with toMatchScreenshot, Playwright trace integration, toBeInViewport matcher), Playwright 1.56 features (AI agents - Planner/Generator/Healer, VS Code 1.105+ integration, titlePath hierarchy, Debian 13), MSW 2.x best practices (Fetch API primitives, domain-based handlers), Windows/Git Bash path conversion awareness and shell detection, mutation testing capabilities, intelligent test running, auto-scaffolding with boilerplate, coverage gap analysis, advanced snapshot management, parallel execution optimization, and comprehensive cross-platform 2025-compliant test infrastructure. Ensures production-ready testing with latest patterns across all platforms including Windows Command Prompt, PowerShell, Git Bash, macOS, and Linux.
Complete Azure DevOps and Azure Pipelines expertise system with Sprint 254-262 features and Windows/Git Bash compatibility (2025). PROACTIVELY activate for: (1) ANY Azure DevOps/Pipelines task, (2) YAML pipeline creation/editing with expression functions (iif, trim), (3) Windows agent Git Bash path conversion issues, (4) Cross-platform pipeline scripts (Windows/Linux/macOS), (5) Workload identity federation (OIDC) passwordless authentication, (6) Pipeline performance analytics and monitoring, (7) Template management and reusability, (8) Microsoft Security DevOps (MSDO) integration, (9) Stage dependencies visualization, (10) Agent v4 with ARM64 support, (11) New OS images (Ubuntu-24.04, Windows-2025, macOS-15), (12) GitHub Copilot integration (Sprint 262), (13) OAuth apps migration to Entra ID (Sprint 261), (14) Continuous Access Evaluation (CAE), (15) Pipeline debugging/troubleshooting, (16) CI/CD optimization, (17) Security/compliance implementation, (18) Azure DevOps CLI operations. Provides: Windows/Git Bash path handling mastery (MSYS_NO_PATHCONV, cygpath, shell detection), cross-platform script patterns, MINGW path conversion guidance, Windows agent troubleshooting, Sprint 254-262 latest features, workload identity federation setup and migration guidance (2025 security standard), pipeline performance analytics and cost tracking, Agent v4 on .NET 8 with ARM64 platform support, Microsoft Defender for DevOps with MSDO extension (replaces deprecated CredScan), GitHub Advanced Security integration, template patterns for code reuse, iif() ternary operator and trim() function, stage-level variables and dependency visualization, Ubuntu-24.04/Windows-2025/macOS-15 hosted agents, GitHub Copilot work item integration, latest YAML schema (always researches current docs), Microsoft best practices, multi-stage pipeline patterns, caching/parallelization, Azure Key Vault integration, comprehensive security scanning (SAST/dependency/container/IaC/secrets), deployment strategies, performance optimization, systematic debugging, and cost efficiency analysis. Ensures production-ready, secure, efficient, cross-platform pipelines following Microsoft 2025 standards.
Complete FFmpeg expertise system with comprehensive coverage of FFmpeg 8.0.1 (2025-11-20) features, VIRAL VIDEO CREATION for TikTok/YouTube Shorts/Instagram Reels/Twitter, KINETIC CAPTIONS (word-grow karaoke, bounce, pop, elastic, spring physics), hardware acceleration (NVIDIA NVENC, Intel QSV, AMD AMF, VAAPI, Vulkan), Docker/container usage, Modal.com serverless containers (CPU/GPU), Cloudflare Workers/WebAssembly (ffmpeg.wasm), CI/CD runner optimization (GitHub Actions), live streaming (RTMP/HLS/DASH/SRT/WebRTC/WHIP), audio processing and normalization, encoding optimization (CRF, presets, quality tuning), FFmpeg + OpenCV integration, PyAV Python bindings (FFmpeg 8.0+ compatible), and common gotchas/troubleshooting. PROACTIVELY activate for: (1) ANY FFmpeg task (encoding, transcoding, streaming, filtering), (2) VIRAL VIDEO creation (TikTok, YouTube Shorts, Instagram Reels, Twitter/X), (3) Short-form vertical video (9:16 aspect ratio), (4) Auto-captions and animated subtitles (CapCut-style), (5) KINETIC CAPTIONS with word-grow, bounce, pop, elastic effects, (6) Karaoke-style word highlighting with animations, (7) Video hook optimization (first 3 seconds), (8) Multi-platform batch export, (9) Social media video optimization, (10) Video format conversion (MP4, WebM, MKV, AVI), (11) Hardware acceleration setup (NVENC, CUDA, QSV, VAAPI, AMF, Vulkan), (12) Docker container FFmpeg usage (jrottenberg/ffmpeg, linuxserver/ffmpeg), (13) Modal.com serverless video processing (GPU/CPU containers, parallel processing, volumes), (14) Browser/WebAssembly FFmpeg (ffmpeg.wasm), (15) Cloudflare Workers video processing, (16) GitHub Actions/CI pipeline video processing, (17) Live streaming setup (RTMP ingest, HLS/DASH/WHIP/WebRTC delivery), (18) Audio encoding/normalization (AAC, MP3, loudnorm, EBU R128), (19) Quality optimization (CRF, bitrate, presets), (20) FFmpeg debugging and error resolution, (21) VVC/H.266, AV1, HEVC encoding, (22) Filter graphs and complex filtergraphs, (23) Batch processing and automation, (24) Whisper AI subtitle generation, (25) Content creator workflows, (26) FFmpeg to OpenCV frame handoff, (27) cv2.VideoCapture vs ffmpeg subprocess, (28) BGR RGB color format conversion gotchas, (29) Frame dimension order img[y,x] vs img[x,y], (30) ffmpegcv GPU-accelerated video I/O, (31) VidGear multi-threaded streaming, (32) Decord batch video loading for ML, (33) PyAV frame-level processing (av.open, VideoFrame, AudioFrame, filter graphs), (34) Pipe frames between FFmpeg and OpenCV, (35) OpenCV + FFmpeg + Modal parallel processing, (36) PyAV installation on Ubuntu 20.04/22.04/24.04, (37) Building PyAV against custom FFmpeg, (38) PyAV FFmpeg 8.0+ compatibility and features. Provides: KINETIC CAPTIONS skill (word-grow karaoke, spring physics, elastic bounce, platform-specific timing), VIRAL VIDEO skills (platform specs, hook templates, animated captions, batch social export), PyAV integration skill (installation guides, FFmpeg 8.0+ compatibility, av.open patterns, VideoFrame/AudioFrame NumPy conversion, filter graphs, encoding/decoding, seeking, RTSP streaming, memory management, thread safety, error handling), FFmpeg 8.0.1 patch release features, FFmpeg 8.0 Huffman features (Whisper AI filter, Vulkan compute codecs for FFv1/ProRes RAW/AV1/VP9, APV codec, VVC VA-API/QSV decoding, WHIP muxer for WebRTC, colordetect/pad_cuda/scale_d3d11 filters, ProRes RAW decoder, RealVideo 6.0, G.728), FFmpeg 7.1 LTS features (VVC decoder, MV-HEVC for Apple Vision Pro, xHE-AAC, Vulkan H.264/H.265), hardware acceleration guides, Docker best practices, Modal.com parallel processing patterns, WebAssembly limitations and workarounds, CI/CD optimization strategies, streaming protocol guidance, audio processing workflows, encoding presets and recommendations, systematic debugging approaches, FFmpeg + OpenCV integration patterns, BGR/RGB color conversion, ffmpegcv/VidGear/Decord/PyAV library guidance, and production-ready 2025-2026 configurations for all platforms.
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