claude-plugin-marketplace

Universal 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.

Complete Claude Code plugin development system. PROACTIVELY activate when users want to: (1) Create/build plugins with 2025 features, (2) Add skills/commands/agents/hooks, (3) Validate plugin structure, (4) Publish to marketplace, (5) Get plugin development guidance. Provides: agent-first design patterns, progressive disclosure skills, hook automation, MCP integration, marketplace publishing. Includes plugin-expert agent and validation utilities.

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 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.

Complete Docker expertise system across ALL platforms (Windows/Linux/macOS) with 2025 AI-powered features and Windows Git Bash/MINGW path conversion support. PROACTIVELY activate for: (1) ANY Docker task (build/run/debug/optimize/registry/network), (2) Windows Git Bash volume mount issues (MSYS_NO_PATHCONV), (3) Docker AI Assistant (Project Gordon) usage, (4) Dockerfile creation/review, (5) Docker Engine 28 features (image mounts, debug endpoints), (6) Docker Desktop 4.47+ (MCP Catalog, Model Runner, silent updates), (7) Docker Compose v2.40.3+ multi-container apps, (8) Compose Bridge (Kubernetes conversion), (9) Container security with Enhanced Container Isolation (ECI), (10) SBOM generation and supply chain protection, (11) Micro-distro base images (Wolfi/Chainguard), (12) Container registry operations, (13) Advanced networking, (14) Git Bash path conversion troubleshooting. Provides: Git Bash/MINGW path conversion solutions (MSYS_NO_PATHCONV, shell detection), 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 including Windows Git Bash fixes, Docker Scout/Trivy integration, and systematic debugging. Ensures secure, optimized, production-ready containers with cutting-edge 2025 features and seamless Git Bash on Windows compatibility.

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 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 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.

Complete Terraform and OpenTofu expertise system for all cloud providers with 2025 features. PROACTIVELY activate for: (1) ANY Terraform/OpenTofu task, (2) Terraform 1.10 ephemeral values and 1.11 write-only arguments, (3) AzureRM Provider 4.x (provider-defined functions, 1,101+ resources), (4) AWS Provider 6.0 GA breaking changes and migration, (5) OpenTofu 1.10/1.11 (OCI registry, state encryption, native S3 locking), (6) Ephemeral resources (azurerm_key_vault_secret, aws_secretsmanager_secret_version), (7) Policy-as-code with Sentinel/OPA/Checkov (NIST SP 800-53 Rev 5), (8) Terraform Stacks (GA) with Linked Stacks, (9) Testing with terraform test framework and Terratest, (10) Git Bash/MINGW path conversion issues on Windows, (11) Private module registry and no-code provisioning, (12) Cross-platform scripts with shell detection. Provides: Terraform 1.10/1.11 ephemeral and write-only patterns, AzureRM 4.x provider functions (normalize_resource_id, parse_resource_id), AWS 6.0 migration guidance, comprehensive ephemeral resource examples, Git Bash Windows compatibility, policy-as-code governance, OpenTofu state encryption, native S3 locking without DynamoDB, version-aware code generation, Trivy security scanning, cost estimation with Infracost, CLI mastery, and 2025 industry best practices across Windows (PowerShell/Git Bash), Linux, and macOS. Ensures enterprise-ready, compliant, scalable, governed infrastructure with policy enforcement and self-service capabilities.

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.

Complete Azure Data Factory expertise system with comprehensive JSON references, validation enforcement, and Microsoft Fabric integration (2025). PROACTIVELY activate for: (1) ANY ADF pipeline JSON creation or editing, (2) Activity configuration (Copy, ForEach, IfCondition, Switch, Until, Lookup, ExecutePipeline, WebActivity, DatabricksJob), (3) Activity nesting validation (ForEach/If/Switch/Until limitations with Execute Pipeline workarounds), (4) Linked service JSON (Blob Storage accountKind, Azure SQL, ADLS Gen2, Synapse, Databricks, Fabric Lakehouse/Warehouse, REST, SFTP, Snowflake), (5) Expression functions (@utcnow, @formatDateTime, @concat, @activity(), @pipeline().parameters), (6) Trigger configuration (Schedule, Tumbling Window with dependencies, Event triggers), (7) Dataset JSON schemas with parameterization, (8) CI/CD setup (GitHub Actions/Azure DevOps with Node.js 20.x, @microsoft/azure-data-factory-utilities), (9) ARM template generation and multi-environment deployment, (10) Microsoft Fabric integration (ADF mounting, Invoke Pipeline cross-workspace, Variable Libraries), (11) Pipeline debugging and error troubleshooting. Provides: Complete JSON reference library for all activity types, linked services, triggers, datasets, and expressions. Validation rules with resource limits (80/120 activities, 50 parameters, 50 batchCount). Progressive disclosure references for deep technical details. Commands for validation, debugging, and generation. Utility scripts for ARM parameters, dependency graphs, and environment comparison.

Complete 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.

Complete Azure cloud expertise system with 2025 features including AKS Automatic, Container Apps GPU support, and Deployment Stacks. PROACTIVELY activate for: (1) ANY Azure resource provisioning or management, (2) AKS Automatic with Karpenter autoscaling, (3) Container Apps with serverless GPU and Dapr integration, (4) Azure OpenAI GPT-5 and reasoning models (o4-mini, o3), (5) Deployment Stacks for infrastructure lifecycle management, (6) Bicep v0.37+ with externalInput() and custom extensions, (7) Azure CLI 2.79+ with latest breaking changes, (8) SRE Agent integration for monitoring and incident response, (9) Azure AI Foundry model deployment, (10) Security, networking, and cost optimization. Provides: AKS Automatic GA features, Container Apps GPU workloads, Deployment Stacks best practices, latest Azure OpenAI models, Bicep 2025 patterns, Azure CLI expertise, comprehensive service configurations (compute, networking, storage, databases, AI/ML), Well-Architected Framework guidance, high availability patterns, security hardening, cost optimization strategies, and production-ready configurations. Ensures enterprise-ready, secure, scalable Azure infrastructure following Microsoft 2025 standards.

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.

Windows path resolution and Git Bash compatibility expert for Claude Code. PROACTIVELY activate for: (1) File path errors on Windows (backslash issues), (2) Git Bash MINGW path resolution, (3) Edit/Write tool failures with Windows paths, (4) Cross-platform path conversion, (5) Windows file system navigation in Claude Code, (6) Path format detection and conversion, (7) Windows-specific file operation troubleshooting. Provides: automatic path format detection, backslash conversion guidance, Git Bash compatibility fixes, Windows-specific file operation patterns, MINGW path troubleshooting, real-time path validation, and production-ready Windows file handling. Ensures correct file operations on Windows following Claude Code best practices.

Expert agent on .NET microservices architecture, containerization, Docker, DDD, CQRS, and cloud-native patterns based on Microsoft's official guide

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 Tailwind CSS v4 expertise system with 2025/2026 best practices. PROACTIVELY activate for: (1) ANY Tailwind CSS task, (2) Tailwind v4 CSS-first configuration (@theme, @utility, @custom-variant), (3) Mobile-first responsive design and container queries, (4) Dark mode implementation, (5) WCAG 2.2 accessibility (44px touch targets, focus states), (6) Performance optimization and Core Web Vitals, (7) Plugin integration (@tailwindcss/typography, @tailwindcss/forms, container-queries), (8) Framework integration (React, Vue, Next.js, Vite), (9) Migration from v3 to v4, (10) Custom utility and component creation. Provides: Mobile-first design patterns, fluid typography (CSS clamp), container queries, WCAG 2.2 touch targets, OKLCH color systems, CSS-first @theme configuration, @utility and @custom-variant directives, responsive breakpoints, dark mode patterns, typography and forms plugins, animation utilities with reduced motion support, framework-specific integration, performance optimization, and production-ready 2025/2026 patterns. Ensures modern, accessible, performant Tailwind CSS implementations.

Comprehensive React 19 expertise system covering Server Components, Client Components, hooks, state management, patterns, and testing. PROACTIVELY activate for: (1) ANY React task, (2) React 19 Server/Client Components, (3) Server Actions with 'use server', (4) React hooks (useState, useEffect, useRef, useMemo, useCallback, useTransition, useDeferredValue, useActionState, useOptimistic, useFormStatus), (5) State management (Context, Zustand, Jotai, TanStack Query, SWR), (6) Component patterns (compound, render props, HOC, custom hooks), (7) TypeScript with React, (8) Form handling (React Hook Form, Zod), (9) Performance optimization (React.memo, code splitting, virtualization), (10) Testing with Vitest/Jest and React Testing Library. Provides: React 19 complete features, use() hook for promises, Server Components architecture, Client Component patterns, all hooks with TypeScript, state management solutions, component patterns, forms and validation, performance optimization techniques, comprehensive testing patterns.

Comprehensive Next.js 15.5/16 expertise system covering App Router, Server Components, Server Actions, Cache Components ('use cache'), Turbopack, middleware/proxy.ts, View Transitions, Modal.com integration, and deployment. PROACTIVELY activate for: (1) ANY Next.js task, (2) App Router layouts/pages/loading/error, (3) Server Components and Client Components, (4) Server Actions with next-safe-action, (5) Cache Components with 'use cache' directive, (6) Route Handlers (API routes) with async params, (7) Middleware (Edge) and proxy.ts (Node.js), (8) Dynamic and parallel routes, (9) Authentication with NextAuth.js, (10) Turbopack development and production builds, (11) View Transitions API, (12) Deployment (Vercel, Docker, static export), (13) Modal.com backend integration for AI/GPU workloads, (14) Next.js + Modal webhooks and long-running jobs, (15) File upload processing with Modal. Provides: Next.js 16 complete features, Cache Components, async params migration, proxy.ts patterns, View Transitions, Turbopack config, App Router file conventions, Server/Client Component patterns, Server Actions with useActionState, caching (Data Cache, Full Route Cache, Router Cache), revalidatePath/revalidateTag, middleware patterns, advanced routing (parallel, intercepting), NextAuth.js authentication, deployment strategies, Modal.com integration patterns for AI inference and heavy compute.

Comprehensive 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.

Expert fal.ai generative media platform system with 600+ AI models (FLUX.2, GPT-Image 1.5, Veo 3.1, Sora 2, Kling 2.6, Recraft V3), client libraries (@fal-ai/client, fal-client), and serverless deployment. PROACTIVELY activate for: (1) ANY fal.ai task, (2) Image generation (FLUX.2, GPT-Image 1/1.5, SDXL, Recraft V3), (3) FLUX Kontext instruction-based image editing, (4) Video generation (Veo 3/3.1, Sora 2/Pro, Kling 2.6 Pro, LTX-2, Runway Gen-3), (5) Native audio in video (Veo 3, Kling 2.6), (6) Image-to-video animation pipelines, (7) Real-time WebSocket streaming (@fal.realtime.connect), (8) Queue-based execution (fal.subscribe, fal.queue), (9) Serverless deployment (fal.App, machine_type, keep_alive, min/max_concurrency), (10) GPU compute (T4/A10G/A100/H100/H200/B200), (11) JavaScript/TypeScript integration (@fal-ai/client), (12) Python integration (fal-client, fal_client.subscribe), (13) Storage (fal.Volume, fal.storage.upload), (14) Cost optimization and 2025 pricing ($0.025/image to $0.45/sec video). Provides: Complete model catalog, client library patterns, real-time streaming, webhook notifications, rate limiting strategies, error handling, and production deployment patterns.

Expert Modal.com serverless cloud platform system with comprehensive Modal 1.0 SDK (May 2025) features, GPU functions (T4/L4/A10G/L40S/A100/H100/H200/B200), autoscaler configuration, @modal.concurrent/@modal.batched decorators, Sandboxes for isolated code execution, CloudBucketMount for S3/GCS, and production deployment patterns. PROACTIVELY activate for: (1) ANY Modal.com task, (2) GPU configuration with fallbacks and multi-GPU, (3) Autoscaler settings (min/max/buffer containers, scaledown_window), (4) Web endpoints (FastAPI, ASGI, WSGI, custom servers), (5) @modal.concurrent for request concurrency, (6) @modal.batched for dynamic batching, (7) Sandboxes for untrusted code execution, (8) Scheduling (Cron with timezone, Period), (9) Storage (Volumes with commit(), Dict with TTL, Queue, CloudBucketMount), (10) Parallel processing (.map(), .starmap(), .spawn(), .for_each()), (11) Container lifecycle (@modal.enter, @modal.method, @modal.exit), (12) Image building (uv_pip_install, run_function for model downloads), (13) Secrets and environment management, (14) Deployment and CI/CD with GitHub Actions, (15) Cost optimization and 2025 pricing. Provides: Modal 1.0 stable API patterns, GPU selection guide with per-second pricing, autoscaler tuning strategies, concurrency and batching for ML inference, Sandbox security patterns, CloudBucketMount for external data, complete CLI reference, debugging workflows, and production-ready configurations.

Complete viral video optimization system with comprehensive 2025-2026 research-backed strategies for maximizing video virality across all platforms. PROACTIVELY activate for: (1) ANY viral video strategy (TikTok, YouTube, Instagram, Facebook), (2) Short-form content optimization (Reels, Shorts, TikTok), (3) Long-form YouTube optimization, (4) Video hook and opening optimization (1.3-second attention capture), (5) Caption and subtitle strategy (80% engagement boost), (6) Thumbnail design and CTR optimization, (7) Hashtag and SEO strategy, (8) Posting schedule optimization, (9) Content repurposing strategies, (10) Audience retention improvement, (11) Trending audio and sound selection, (12) Video editing pacing and transitions, (13) Call-to-action optimization (380% conversion increase), (14) UGC and authenticity strategies, (15) Platform algorithm understanding (TikTok, YouTube, Instagram 2025), (16) Faceless content creation, (17) Community engagement and growth, (18) Shoppable video and social commerce, (19) Collaboration and cross-promotion, (20) Analytics and metrics interpretation. Provides: Research-backed viral video formulas, platform-specific optimization guides, hook templates, retention strategies, trending content patterns, algorithm insights, and production best practices for 2025-2026.

Comprehensive T-SQL and SQL Server expertise for query optimization, performance tuning, and Azure SQL Database. PROACTIVELY activate for: (1) T-SQL query optimization and SARGability analysis, (2) SQL Server performance tuning, (3) Index design and strategy, (4) Execution plan analysis, (5) Parameter sniffing solutions, (6) Azure SQL Database optimization, (7) Window functions and advanced patterns, (8) Columnstore and In-Memory OLTP, (9) Query Store and IQP features. Includes: tsql-expert agent, 5 progressive disclosure skills, 3 optimization commands, diagnostic scripts.

Expert Cloudflare platform system with comprehensive 2025-2026 knowledge for Workers, Pages, R2, D1, KV, Hyperdrive, Durable Objects, Queues, Workflows, AI Workers (TTS/STT/captioning), Zero Trust, MCP servers, and edge computing. PROACTIVELY activate for: (1) ANY Cloudflare task, (2) Workers development (Wrangler CLI, bindings, cron triggers), (3) AI Workers (Whisper, Aura TTS, Deepgram, image captioning, LLM inference), (4) Storage (R2 S3-compatible, D1 SQLite, KV, Durable Objects, Queues), (5) Hyperdrive database connection pooling, (6) Zero Trust (WARP, tunnels, access policies, identity), (7) MCP servers (remote/local, OAuth, Streamable HTTP), (8) Pages and static site deployment, (9) CI/CD (GitHub Actions, Workers Builds), (10) Observability (Workers Logs, traces, OpenTelemetry), (11) Load balancing and health checks, (12) Vectorize vector database, (13) Workflows durable execution, (14) Cost optimization and performance tuning. Provides: Complete Wrangler CLI reference, all binding configurations (KV/R2/D1/Durable Objects/Queues/Hyperdrive), AI model catalog with pricing, MCP server development patterns, Zero Trust implementation guides, CI/CD workflows, observability setup, and production-ready 2026 configurations.