ADO Master Plugin

Complete Git expertise for ALL operations with 2025 features (Git 2.49+, GitHub CLI 2.x). PROACTIVELY activate for: (1) ANY Git task, (2) Git 2.49+ features (git-backfill, path-walk API, reftables, sparse-checkout, worktrees), (3) Security (signed commits, zero-trust, secret scanning, CodeQL), (4) Trunk-Based Development, (5) GitHub CLI 2.x (Copilot CLI, model evaluations), (6) GitHub Actions 2025 (1 vCPU runners, immutable releases), (7) Modern workflows (monorepo, parallel development), (8) History rewriting/recovery. Provides: Git 2.49 git-backfill for partial clones, path-walk API, reftables migration, sparse-checkout (90% space reduction), worktrees, GitHub Copilot CLI, gh models eval, zero-trust security, signed commits (GPG/SSH), GitHub Actions 2025 features, automatic backups, safety guardrails, reflog recovery.

Complete Docker expertise system across ALL platforms (Windows/Linux/macOS) with 2025 AI-powered features. PROACTIVELY activate for: (1) ANY Docker task (build/run/debug/optimize/registry/network), (2) Docker AI Assistant (Project Gordon) usage, (3) Dockerfile creation/review, (4) Docker Engine 28 features (image mounts, debug endpoints), (5) Docker Desktop 4.47+ (MCP Catalog, Model Runner, silent updates), (6) Docker Compose v2.40.3+ multi-container apps, (7) Compose Bridge (Kubernetes conversion), (8) Container security with Enhanced Container Isolation (ECI), (9) SBOM generation and supply chain protection, (10) Micro-distro base images (Wolfi/Chainguard), (11) Container registry operations, (12) Advanced networking. Provides: Docker AI (Project Gordon), Enhanced Container Isolation (ECI), Engine 28 features (--mount type=image), Desktop 4.47+ capabilities, Model Runner improvements, Compose v2.40.3+ updates, Compose Bridge, registry management, network deep-dive, 2025 best practices with micro-distros, SBOM generation, BuildKit attestation warnings (unsigned), CIS Docker Benchmark v1.7.0, multi-stage builds, security hardening, image optimization, platform-specific guidance, Docker Scout/Trivy integration, and systematic debugging.

Complete PowerShell expertise system across ALL platforms (Windows/Linux/macOS). PROACTIVELY activate for: (1) ANY PowerShell task (scripts/modules/cmdlets), (2) CI/CD automation (GitHub Actions/Azure DevOps/Bitbucket), (3) Cross-platform scripting, (4) Module discovery and management (PSGallery), (5) Azure/AWS/Microsoft 365 automation, (6) Script debugging and optimization, (7) Best practices and security. Provides: PowerShell 7+ features, popular module expertise (Az, Microsoft.Graph, PnP, AWS Tools), PSGallery integration, platform-specific guidance, CI/CD pipeline patterns, cmdlet syntax mastery, and production-ready scripting patterns.

Validates GitLab stack projects before deployment, ensuring proper architecture patterns, directory structure, secrets management, .env configuration, and Docker best practices. Detects issues and provides actionable guidance

Complete SQL Server Data Tools (SSDT) expertise system across ALL platforms. PROACTIVELY activate for: (1) ANY SSDT task (database projects/SqlPackage/schema compare), (2) SDK-style and legacy database project creation/migration, (3) DACPAC/BACPAC build and deployment operations, (4) SqlPackage command-line operations (publish/extract/export/import), (5) Schema and data comparison workflows, (6) Database refactoring operations (rename/schema changes/data transformations), (7) MSBuild integration and CI/CD pipeline setup, (8) Visual Studio database project troubleshooting, (9) Cross-platform CLI tools (dotnet/sqlpackage), (10) Deployment script generation and validation. Provides: comprehensive SqlPackage reference with all actions and parameters, SDK-style project structure expertise, legacy project migration patterns, schema compare functionality, deployment option mastery, refactoring best practices, CI/CD integration patterns (GitHub Actions/Azure DevOps), MSBuild property configuration, and version-specific guidance. Ensures production-ready, secure, efficient database development following Microsoft SQL Server best practices.

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.