By JosiahSiegel
Optimize T-SQL queries on SQL Server and Azure SQL Database by analyzing SARGability issues, execution plans, and performance bottlenecks; receive index suggestions, advanced pattern recommendations like recursive CTEs and window functions, and Azure-specific tuning strategies via skills, commands, and an expert agent.
Uses power tools
Uses Bash, Write, or Edit tools
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Analyze a T-SQL query for optimization opportunities, SARGability issues, and index recommendations
Help interpret SQL Server execution plan operators and identify performance issues
Suggest optimal indexes for a T-SQL query or table based on query patterns
Advanced T-SQL patterns and techniques for SQL Server. Use this skill when: (1) User needs help with CTEs or recursive queries, (2) User asks about APPLY operator, (3) User wants MERGE or OUTPUT clause help, (4) User works with temporal tables, (5) User needs In-Memory OLTP guidance, (6) User asks about advanced grouping (ROLLUP, CUBE, GROUPING SETS).
Azure SQL Database optimization and platform-specific features. Use this skill when: (1) User asks about Azure SQL Database optimization, (2) User needs DTU/vCore guidance, (3) User wants to use automatic tuning, (4) User asks about Hyperscale or serverless, (5) User needs Azure SQL performance monitoring.
SQL Server index design and optimization strategies. Use this skill when: (1) User needs help designing indexes, (2) User asks about clustered vs nonclustered indexes, (3) User wants to optimize columnstore indexes, (4) User needs filtered or covering indexes, (5) User asks about index maintenance and fragmentation.
T-SQL query optimization techniques for SQL Server and Azure SQL Database. Use this skill when: (1) User needs to optimize slow queries, (2) User asks about SARGability or index seeks, (3) User needs help with query hints, (4) User has parameter sniffing issues, (5) User needs to understand execution plans, (6) User asks about statistics and cardinality estimation.
Complete T-SQL function reference for SQL Server and Azure SQL Database. Use this skill when: (1) User asks about T-SQL string, date, math, or conversion functions, (2) User needs help with window/ranking functions, (3) User works with JSON or XML in T-SQL, (4) User asks about aggregate functions or GROUP BY, (5) User needs system or metadata functions.
A curated collection of Claude Code plugins for plugin development, context optimization, cloud infrastructure, DevOps automation, and productivity tools
1. Add this marketplace:
/plugin marketplace add JosiahSiegel/claude-plugin-marketplace
2. Install any plugin:
/plugin install <plugin-name>@claude-plugin-marketplace
3. Browse available plugins below and install what you need!
v2.2.0 (Docs) - Complete plugin development with Agent Skills, hooks, MCP integration, testing, and Git Bash/Windows compatibilityv2.2.0 (Docs) - Universal context management with Windows/Git Bash support and cross-platform file operation guidancev1.1.0 (Docs) - Azure cloud with 2025 features, Git Bash/Windows CLI compatibility, and ARM/Bicep cross-platform deploymentsv1.2.0 (Docs) - Azure-to-Docker migration with Git Bash volume mount fixes and cross-platform Docker Composev1.7.0 (Docs) - Terraform with Git Bash path handling, shell detection, and cross-platform state operationsv1.5.0 (Docs) - Docker with Git Bash volume mount fixes, MINGW path conversion solutions, and Windows compatibilityv1.5.0 (Docs) - Azure DevOps with Git Bash agent compatibility, Windows pipeline patterns, and shell detectionv1.5.0 (Docs) - Git 2.51 with Git Bash path conversion, stash import/export, and shell detection patternsv1.5.0 (Docs) - Bash 5.3 with comprehensive Git Bash/MINGW path conversion, shell detection, and Claude Code issue #2602 solutionsv1.5.0 (Docs) - PowerShell with comprehensive shell detection (PowerShell vs Git Bash), cross-shell compatibility, and Windows environment expertisev1.6.0 (Docs) - Vitest 4.0 + Playwright 1.56 AI agents with Windows/Git Bash test execution compatibility and cross-platform testingv1.0.0 (Docs) - .NET microservices architecture expert with Docker, DDD, CQRS, and cloud-native patterns based on Microsoft's official guidev1.0.0 (Docs) - Python 3.13+ expertise with free-threading, JIT, asyncio, type hints, FastAPI, uv package management, pytest, and Cloudflare deploymentv1.0.0 (Docs) - React 19 expertise with Server/Client Components, hooks, state management, TypeScript, and testing patternsv1.0.0 (Docs) - Next.js 15 expertise with App Router, Server Actions, caching, middleware, NextAuth.js, and deploymentv1.0.0 (Docs) - Tailwind CSS v4 expertise with CSS-first configuration, responsive design, dark mode, and framework integrationv1.0.0 (Docs) - FFmpeg expertise with video/audio encoding, hardware acceleration, streaming, Docker, and Cloudflare deploymentv1.6.0 (Docs) - SQL Server with Git Bash SqlPackage compatibility, path conversion for database deployments, and Windows shell detectionv3.3.0 (Docs) - Azure Data Factory with Git Bash npm build fixes, Windows CI/CD compatibility, and cross-platform deployment scriptsnpx claudepluginhub josiahsiegel/claude-plugin-marketplace --plugin tsql-masterExpert 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.
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Complete Unity game development expertise. Covers C# scripting, MonoBehaviour lifecycle, UI systems (UGUI, UI Toolkit), physics, animation, networking (Netcode, Mirror, Photon), modding support, ECS/DOTS, shader development (ShaderLab, HLSL, Shader Graph), editor scripting, performance optimization, build pipelines, and Unity Gaming Services integration.
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 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.
Complete SQL Server Data Tools (SSDT) expertise system with SQL Server 2025 RC and SqlPackage 170.2.70 support. PROACTIVELY activate for: (1) ANY SSDT task (database projects/SqlPackage/schema compare), (2) SQL Server 2025 features (Optimized Locking, Fabric Mirroring, native JSON, RegEx, REST APIs), (3) Vector databases with DiskANN indexing and hybrid AI search, (4) SDK-style (Microsoft.Build.Sql 2.0.0 GA) and legacy project management, (5) DACPAC/BACPAC operations with data virtualization and parquet support, (6) SqlPackage 170.x all 7 actions (publish/extract/export/import/deployreport/driftreport), (7) CI/CD best practices 2025 (tSQLt unit testing, state-based deployment, Windows auth), (8) Microsoft Fabric Data Warehouse deployment with zero-ETL, (9) Cross-platform builds (.NET 8+ required), (10) Windows/Git Bash path handling (MSYS_NO_PATHCONV, shell detection), (11) Production-ready enterprise database development. Provides: SqlPackage 170.2.70 complete reference, Microsoft.Build.Sql 2.0.0 GA SDK guidance, SQL Server 2025 RC features (TID Locking, LAQ, change feed), tSQLt unit testing patterns, deployment safety (BlockOnPossibleDataLoss), refactoring workflows, GitHub Actions/Azure DevOps 2025 patterns with Windows auth, Git Bash/MINGW path conversion workarounds (MSYS_NO_PATHCONV, double-slash), shell detection for cross-platform scripts, and Visual Studio 2022 17.12+ support. Ensures safe, modern database development following 2025 Microsoft best practices.
Official Claude plugin for Azure Cosmos DB (NoSQL). Bundles skills for data modeling, partition key design, query optimization, SDK best practices, indexing, vector search, full-text search, global distribution, security, and more.
DevsForge SQL optimization specialist for improving query performance and database efficiency
Profile and optimize database queries for performance
Database query optimization with index recommendations and EXPLAIN analysis
Use this agent when you need to optimize database performance for B2B applications at enterprise scale. This agent specializes in multi-tenant database optimization, query performance tuning, indexing strategies, connection pooling, and database scaling for SaaS platforms. Handles PostgreSQL, MySQL, MongoDB, and cloud database optimizations. Examples: