Manage Azure DevOps pipelines end-to-end: create YAML pipelines, optimize CI/CD, debug cross-platform Windows/Git Bash issues, integrate security scanning with Microsoft Defender, and apply latest Sprint features.
Azure DevOps pipeline best practices, patterns, and industry standards
Windows and Git Bash compatibility guidance for Azure Pipelines. Covers path conversion issues, shell detection in pipeline scripts, MINGW/MSYS path handling, Windows agent configuration, cross-platform script patterns, and troubleshooting common Windows-specific pipeline failures.
Microsoft Defender for DevOps integration with Azure Pipelines (2025)
Azure DevOps Sprint 254-262 new features and enhancements (2025)
Uses power tools
Uses Bash, Write, or Edit tools
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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npx claudepluginhub josiahsiegel/claude-plugin-marketplace --plugin ado-masterComplete Git expertise for ALL operations with 2025 features. PROACTIVELY activate for: (1) ANY Git task (basic/advanced/dangerous), (2) Git 2.51+ features (stash import/export, path-walk repacking, git-backfill for partial clones, reftables 50-80% faster, sparse-checkout, worktrees), (3) Windows/Git Bash compatibility (MINGW/MSYS2 path conversion, MSYS_NO_PATHCONV, cygpath utilities, shell detection with $MSYSTEM), (4) Security (signed commits GPG/SSH, zero-trust workflows, GitHub secret scanning with AI, CodeQL, Gitleaks), (5) Trunk-Based Development with < 1 day branches (Google/Microsoft scale), (6) GitHub CLI 2.x (Copilot CLI integration, model evaluations, triangular workflows, OAuth clipboard), (7) GitHub Actions 2025 (1 vCPU runners, immutable releases, Node24), (8) Repository management and optimization, (9) Modern workflows (monorepo, parallel development), (10) Branch strategies (Gitflow, Feature Branch, TBD), (11) Conflict resolution, (12) History rewriting/recovery with safety guardrails, (13) Platform operations (GitHub/GitLab/Azure DevOps/Bitbucket). Provides: Git 2.51 stash import/export for sharing stashes between machines, path-walk repacking for smaller pack files, Git Bash/MINGW path conversion handling (MSYS_NO_PATHCONV, MSYS2_ARG_CONV_EXCL, cygpath), shell detection ($MSYSTEM, uname -s, $OSTYPE), Git 2.49 git-backfill for efficient partial clone downloads, reftables migration, sparse-checkout for monorepos (90% space reduction), worktrees for parallel development with path handling guidance, GitHub Copilot CLI (replacing gh-copilot extension), gh models eval for prompt evaluations, zero-trust security patterns with continuous monitoring, signed commits (GPG and SSH), GitHub Actions 2025 features (1 vCPU runners, immutable releases), CodeQL with Copilot Autofix, complete command reference, automatic backups before destructive operations, safety guardrails, reflog recovery, emergency procedures, cross-platform path compatibility. Ensures modern, secure, efficient Git workflows following 2025 industry standards with comprehensive Windows/Git Bash support.
JosiahSiegelAzure DevOps Agentic Workflows (ado-aw) — create, update, validate, operate, and debug AI-powered Azure DevOps agentic workflows: Markdown agent specs compiled into secure, network-isolated ADO pipelines.
githubnextManage Azure DevOps resources via CLI including projects, repos, pipelines, builds, pull requests, work items, artifacts, and service endpoints. Use when working with Azure DevOps, az commands, devops automation, CI/CD, or when user mentions Azure DevOps CLI.
githubAzure cloud toolkit for cost optimization, ARM templates, and infrastructure design. Includes azure architect agent for strategic Azure decisions.
armanzeroeightComprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
JeffallanDevelop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Randroids-DojoComplete PowerShell 7.5/7.6 expertise system across ALL platforms (Windows/Linux/macOS) with 2025 breaking changes coverage, shell detection, and modern automation. PROACTIVELY activate for: (1) ANY PowerShell task (scripts/modules/cmdlets), (2) PowerShell 7.5.4 stable features (ConvertTo-CliXml, Test-Path -OlderThan/-NewerThan, .NET 9), (3) PowerShell 7.6 preview features (+= 16x optimization, Get-Clipboard -Delimiter, Get-Command -ExcludeModule, DSC v3, .NET 10), (4) 2025 migrations (MSOnline/AzureAD retirement, PowerShell 2.0 removal, WMIC replacement), (5) Modern security (SecretManagement, JEA, WDAC, Constrained Language Mode), (6) PSResourceGet 1.1.1/1.2.0 package management (2x faster than PowerShellGet), (7) CI/CD automation (GitHub Actions/Azure DevOps/GitLab), (8) Azure Az and Microsoft.Graph automation, (9) Cross-platform scripting with .NET 9/10 performance, (10) Shell detection and cross-shell compatibility (PowerShell vs Git Bash/MSYS2). Provides: PowerShell 7.5.4 stable / 7.6.0-preview.6 features, 2025 breaking changes guidance, MSOnline/AzureAD to Microsoft.Graph migration paths, WMIC to Get-CimInstance conversions, PSResourceGet adoption patterns, SecretManagement vault setup, Pester testing with coverage, module development best practices, latest security patterns (JEA, WDAC), shell detection on Windows, and production-ready 2025-2026 automation patterns.
JosiahSiegelComprehensive Python 3.13+ expertise system covering modern Python development, async programming, type hints, performance optimization, Modal.com serverless, OpenCV computer vision, FFmpeg video/audio processing, video pipeline integration, and cloud deployment. PROACTIVELY activate for: (1) ANY Python task, (2) Python 3.13+ features (free-threading, JIT), (3) asyncio and concurrent programming, (4) Type hints and mypy/pyright, (5) Package management (uv, pip, poetry), (6) Project structure (src layout, pyproject.toml), (7) FastAPI and web development, (8) Pydantic data validation, (9) Testing (pytest, coverage), (10) Cloudflare Workers/Containers Python, (11) GitHub Actions Python workflows, (12) Performance optimization and profiling, (13) Security best practices (OWASP), (14) Ruff linting and formatting, (15) Modal.com serverless functions and GPU workloads, (16) Modal scheduled tasks and cron jobs, (17) Modal parallel processing with map/starmap, (18) OpenCV image/video processing, (19) cv2.imread cv2.VideoCapture BGR color format, (20) Computer vision contours edge detection, (21) OpenCV DNN deep learning inference, (22) FFmpeg video encoding H.264 H.265 VP9 AV1, (23) ffmpeg-python filter graphs audio extraction, (24) PyAV frame-level video processing, (25) Video transcoding CRF presets hardware acceleration, (26) Audio conversion MP3 AAC FLAC Opus, (27) HLS DASH RTMP streaming protocols, (28) Video thumbnails GIF creation concatenation, (29) Subprocess FFmpeg deadlock prevention, (30) FFmpeg OpenCV integration pipeline, (31) Modal video processing parallel map starmap, (32) ffmpegcv GPU video reader writer, (33) VidGear RTSP streaming camera capture, (34) Decord batch video loading deep learning, (35) Video chunk parallel processing serverless, (36) BGR RGB color format conversion gotchas, (37) Frame dimension HWC CHW numpy transpose. Provides: Python 3.13 free-threading and JIT, asyncio patterns, comprehensive type hints, uv package management, FastAPI production patterns, Pydantic vs dataclass guidance, pytest testing, Cloudflare Python optimization, GitHub Actions caching, memory profiling, security hardening, Modal.com type-safe functions and ML inference patterns, OpenCV BGR/RGB conversion gotchas, video capture memory management, image filtering and transformations, feature detection and matching, DNN module inference, FFmpeg audio stream preservation gotchas, CRF encoding quality control, hardware acceleration NVENC QSV VAAPI, ffprobe metadata extraction, video filter chains, FFmpeg+OpenCV+Modal integration patterns, parallel frame processing with Modal map/starmap, GPU-accelerated video pipelines, chunk-based large video processing, HLS streaming generation on Modal.
JosiahSiegelUniversal context management and planning system. PROACTIVELY activate for: (1) ANY complex task requiring planning, (2) Multi-file projects/websites/apps, (3) Architecture decisions, (4) Research tasks, (5) Refactoring, (6) Long coding sessions, (7) Tasks with 3+ sequential steps. Provides: optimal file creation order, context-efficient workflows, extended thinking delegation (23x context efficiency), Claude Sonnet 4.5 token budgeting, recursive delegation patterns, clear-and-verify production workflows, passive deep analysis architecture, progressive task decomposition, cross-platform Windows/Git Bash support, and prevents redundant work. Saves 62% context on average. Essential for maintaining session performance and analytical depth.
JosiahSiegelComplete Salesforce expertise system across ALL platforms and integration scenarios with Windows/Git Bash compatibility. PROACTIVELY activate for: (1) ANY Salesforce task (API/data/Apex/Lightning/Flow), (2) SOQL/SOSL query design and optimization, (3) REST/SOAP API integration and authentication, (4) Apex development (classes/triggers/batch/scheduled) with Spring '25 features, (5) Lightning Web Components with lightning/graphql module and Aura development, (6) Data model design and schema management (objects/fields/relationships), (7) Integration patterns (source-to-Salesforce, Salesforce-to-target), (8) Deployment and metadata management (change sets/SFDX/CLI) with Windows/Git Bash path handling, (9) Security model implementation (profiles/permissions/sharing), (10) Flow/Process Builder/Flow Orchestrator automation, (11) Agentforce 2.0 AI agents and autonomous automation, (12) Data Cloud Vector Database with semantic search, (13) Hyperforce public cloud architecture. Provides: comprehensive SFDC object schema knowledge (standard/custom objects, all fields, relationships), complete API reference (REST/SOAP/Bulk/Streaming) for API 63.0/64.0, Apex language mastery with Compression and FormulaEval namespaces (Spring '25 GA), Lightning platform expertise with Winter '26 GraphQL updates and SLDS 2.0 dark mode, SOQL/SOSL optimization, authentication methods (OAuth/JWT/Session), limits and best practices, governor limits handling, integration patterns (ETL/real-time/batch/Data Cloud), metadata API operations, SFDX CLI commands with cross-platform path conversion (MSYS_NO_PATHCONV, shell detection, cygpath), version-specific guidance, platform event architecture, Agentforce 2.0 development with LLM Open Connector, Data Cloud Vector Database for unstructured data and hybrid search, Flow Orchestrator multi-user workflows, Hyperforce cloud-native architecture, and Windows Git Bash/MINGW compatibility for SF CLI deployments. Ensures production-ready, scalable, secure Salesforce solutions following Spring '25/Summer '25 best practices and Well-Architected Framework.
JosiahSiegelComplete 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.
JosiahSiegel