A curated collection of Claude Code plugins for plugin development, context optimization, and productivity tools
Complete FFmpeg expertise system with comprehensive coverage of FFmpeg 8.0.1 (2025-11-20) features, 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), and common gotchas/troubleshooting. PROACTIVELY activate for: (1) ANY FFmpeg task (encoding, transcoding, streaming, filtering), (2) Video format conversion (MP4, WebM, MKV, AVI), (3) Hardware acceleration setup (NVENC, CUDA, QSV, VAAPI, AMF, Vulkan), (4) Docker container FFmpeg usage (jrottenberg/ffmpeg, linuxserver/ffmpeg), (5) Modal.com serverless video processing (GPU/CPU containers, parallel processing, volumes), (6) Browser/WebAssembly FFmpeg (ffmpeg.wasm), (7) Cloudflare Workers video processing, (8) GitHub Actions/CI pipeline video processing, (9) Live streaming setup (RTMP ingest, HLS/DASH/WHIP/WebRTC delivery), (10) Audio encoding/normalization (AAC, MP3, loudnorm, EBU R128), (11) Quality optimization (CRF, bitrate, presets), (12) FFmpeg debugging and error resolution, (13) VVC/H.266, AV1, HEVC encoding, (14) Filter graphs and complex filtergraphs, (15) Batch processing and automation, (16) Whisper AI subtitle generation. Provides: 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, and production-ready 2025 configurations for all platforms.
Definitive reference for FFmpeg and ASS/SSA animation timing units, optimal durations, and best practices. PROACTIVELY activate for: (1) Animation timing questions, (2) ASS subtitle timing, (3) Karaoke timing tags, (4) Caption duration calculation, (5) Transition duration selection, (6) Fade/zoom timing, (7) Frame rate considerations, (8) Platform-specific timing (TikTok/Shorts/Reels), (9) Readability formulas, (10) Audio-video sync tolerances. Provides: Complete time unit reference tables, optimal duration guidelines, psychology-based timing recommendations, caption readability formulas, and platform-specific timing profiles.
Complete subtitle and caption system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) Burning subtitles (hardcoding SRT/ASS/VTT), (2) Adding soft subtitle tracks, (3) Extracting subtitles from video, (4) Subtitle format conversion, (5) Styled captions (font, color, outline, shadow), (6) Subtitle positioning and alignment, (7) CEA-608/708 closed captions, (8) Text overlays with drawtext, (9) Whisper AI automatic transcription (FFmpeg 8.0+ with VAD, multi-language, GPU), (10) Batch subtitle processing. Provides: Format reference tables, styling parameter guide, position alignment charts, Whisper model comparison, VAD configuration, dynamic text examples, accessibility best practices. Ensures: Professional captions with proper styling and accessibility compliance.
Complete CI/CD video processing system. PROACTIVELY activate for: (1) GitHub Actions FFmpeg setup, (2) GitLab CI video pipelines, (3) Jenkins declarative pipelines, (4) FFmpeg caching strategies, (5) Windows runner workarounds, (6) GPU-enabled self-hosted runners, (7) Matrix builds for multi-format, (8) Artifact upload/download, (9) Video validation workflows, (10) BtbN/FFmpeg-Builds integration. Provides: YAML workflow examples, Docker container patterns, caching configuration, platform-specific solutions, debugging guides. Ensures: Fast, reliable video processing in CI/CD pipelines.
Complete color manipulation and green screen effects system. PROACTIVELY activate for: (1) Green screen/chromakey removal, (2) Color grading with LUTs, (3) Color correction (levels, curves, white balance), (4) Colorkey/color removal effects, (5) Hue/saturation manipulation, (6) Color space conversions (BT.709, BT.2020, HDR), (7) Color isolation effects, (8) Teal and orange look, (9) Vintage/film looks, (10) Color keying for transparency. Provides: chromakey and colorkey filters, LUT application (lut3d), curves and levels adjustment, color balance, selective color manipulation, color space handling, HDR tone mapping, professional color grading chains.
Complete FFmpeg deinterlacing, field processing, and telecine removal for broadcast and professional video. PROACTIVELY activate for: (1) Deinterlacing interlaced video (yadif, bwdif, w3fdif), (2) Hardware-accelerated deinterlacing (yadif_cuda, bwdif_cuda, bwdif_vulkan), (3) Inverse telecine/pulldown removal (pullup, fieldmatch), (4) Field order correction (fieldorder), (5) Field separation/weaving (separatefields, weave, tinterlace), (6) Interlace detection (idet), (7) DVD/Blu-ray processing, (8) Broadcast content conversion. Provides: Deinterlacing filters, telecine removal, field processing, hardware acceleration options.
Complete guide to FFmpeg filter_complex syntax, multi-input/output pipelines, and composition patterns. PROACTIVELY activate for: (1) filter_complex syntax questions, (2) Multi-input video composition (PiP, grids, overlays), (3) Video transitions (xfade, fades, wipes), (4) Audio mixing (amix, amerge), (5) Stream splitting and routing, (6) Named stream labels, (7) Complex filtergraphs, (8) GPU + CPU hybrid filter chains, (9) ABR encoding ladders, (10) Text and watermark overlays. Provides: Syntax reference, composition patterns, audio mixing examples, transition effects, GPU-accelerated filtergraphs, debugging tips.
Complete FFmpeg core knowledge system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) Basic transcoding and format conversion, (2) Command syntax questions, (3) Codec selection (H.264, H.265, VVC, AV1, VP9, APV), (4) Quality settings (CRF, bitrate, presets), (5) Video/audio filter chains, (6) Trimming, splitting, concatenating, (7) Resolution scaling and aspect ratios, (8) FFmpeg 8.0 features (Whisper AI, Vulkan codecs, APV, WHIP), (9) Version checking and update guidance. Provides: Command syntax reference, codec comparison tables, filter examples, format conversion recipes, probing commands, Whisper transcription examples, version checking commands. Ensures: Correct FFmpeg usage with 2025 best practices and latest stable version.
Complete glitch art, datamosh, and video distortion effects system. PROACTIVELY activate for: (1) Datamosh/pixel bleeding effects, (2) VHS/analog glitch simulation, (3) Digital corruption effects, (4) Displacement mapping, (5) Wave/ripple distortions, (6) Pixelation and mosaic effects, (7) Chromatic aberration, (8) Scan line effects, (9) Time-based distortions (echo, trails), (10) Lens distortion and barrel effects. Provides: minterpolate for datamosh, displacement filter, geq pixel manipulation, noise and artifacts, rgbashift/chromashift for color separation, lagfun for trails, tmix for frame blending, tblend for frame difference effects.
Complete GPU-accelerated encoding/decoding system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) NVIDIA NVENC/NVDEC encoding, (2) Intel Quick Sync Video (QSV), (3) AMD AMF encoding, (4) Apple VideoToolbox, (5) Linux VAAPI setup, (6) Vulkan Video 8.0 (FFv1, AV1, VP9, ProRes RAW), (7) VVC/H.266 hardware decoding (VAAPI/QSV), (8) GPU pipeline optimization with pad_cuda, (9) Docker GPU containers, (10) Performance benchmarking. Provides: Platform-specific commands, preset comparisons, quality tuning, full GPU pipeline examples, Vulkan compute codecs, VVC decoding, troubleshooting guides. Ensures: Maximum encoding speed with optimal quality using GPU acceleration.
Complete karaoke subtitle system and advanced animated text effects. PROACTIVELY activate for: (1) Karaoke-style highlighted lyrics, (2) ASS/SSA advanced subtitle styling, (3) Scrolling credits (horizontal/vertical), (4) Typewriter text animation, (5) Bouncing/moving text, (6) Text fade in/out effects, (7) Word-by-word text reveal, (8) Kinetic typography, (9) Lower thirds animation, (10) Countdown timers and dynamic text. Provides: ASS karaoke timing format, drawtext with time expressions, scrolling text patterns, text animation formulas, kinetic typography techniques, subtitle styling reference, multi-line animated text.
Expert kinetic typography and animated caption system for viral video. PROACTIVELY activate for: (1) Kinetic captions with word-grow highlighting, (2) Karaoke-style progressive fill with scale animation, (3) Word bounce/pop effects (CapCut-style), (4) Spring physics text animation, (5) Shake/tremor emphasis effects, (6) Typewriter character reveal, (7) Multi-color karaoke transitions, (8) Elastic overshoot animations, (9) Word-by-word caption reveal, (10) TikTok/Shorts/Reels viral caption styles, (11) Kinetic typography for music videos, (12) Impact text slam effects, (13) Breathing/pulse text animation, (14) Color sweep highlighting, (15) Animated lower thirds. Provides: Complete ASS animation tag reference, word-grow karaoke formulas, spring physics parameters, platform-specific timing profiles, Python generation scripts, production-ready templates, and viral caption best practices for 2025-2026.
Complete Modal.com FFmpeg deployment system for serverless video processing. PROACTIVELY activate for: (1) Modal.com FFmpeg container setup, (2) GPU-accelerated video encoding on Modal (NVIDIA, NVENC), (3) Parallel video processing with Modal map/starmap, (4) Volume mounting for large video files, (5) CPU vs GPU container cost optimization, (6) apt_install/pip_install for FFmpeg, (7) Python subprocess FFmpeg patterns, (8) Batch video transcoding at scale, (9) Modal pricing for video workloads, (10) Audio/video processing with Whisper. Provides: Image configuration examples, GPU container patterns, parallel processing code, volume usage, cost comparisons, production-ready FFmpeg deployments. Ensures: Efficient, scalable video processing on Modal serverless infrastructure.
Complete FFmpeg noise reduction and denoising for video and audio. PROACTIVELY activate for: (1) Video denoising (nlmeans, hqdn3d, vaguedenoiser), (2) Hardware-accelerated denoising (nlmeans_opencl, nlmeans_vulkan), (3) Audio noise reduction (afftdn, anlmdn), (4) Film grain removal, (5) Low-light footage enhancement, (6) Compression artifact removal, (7) Broadcast noise reduction, (8) Clean audio recordings. Provides: Denoising filters, parameter tuning, hardware acceleration, quality/speed tradeoffs.
Complete FFmpeg + OpenCV + Python integration guide for video processing pipelines. PROACTIVELY activate for: (1) FFmpeg to OpenCV frame handoff, (2) cv2.VideoCapture vs ffmpeg subprocess, (3) BGR/RGB color format conversion gotchas, (4) Frame dimension order img[y,x] vs img[x,y], (5) ffmpegcv GPU-accelerated video I/O, (6) VidGear multi-threaded streaming, (7) Decord batch video loading for ML, (8) PyAV frame-level processing, (9) Audio stream preservation with video filters, (10) Memory-efficient frame generators, (11) OpenCV + FFmpeg + Modal parallel processing, (12) Pipe frames between FFmpeg and OpenCV. Provides: Color format conversion patterns, coordinate system gotchas, library selection guide, memory management, subprocess pipe patterns, GPU-accelerated alternatives to cv2.VideoCapture. Ensures: Correct integration between FFmpeg and OpenCV without color/coordinate bugs. See also: ffmpeg-python-integration-reference for type-safe parameter mappings.
Complete shape and graphics overlay system. PROACTIVELY activate for: (1) Drawing rectangles (drawbox), (2) Grid overlays (drawgrid), (3) Circles and ellipses (geq), (4) Image watermarks and logos, (5) Lower third graphics, (6) Progress bars and indicators, (7) Animated overlays, (8) Blend modes and compositing, (9) Safe area guides, (10) Generated patterns (gradients, noise, checkerboards). Provides: Filter syntax reference, position expressions, color format guide, blend mode examples, performance optimization tips. Ensures: Professional graphics overlays and visual effects on video.
Complete FFmpeg video stabilization and 360/VR video processing. PROACTIVELY activate for: (1) Video stabilization (deshake, vidstab), (2) Hardware-accelerated stabilization (deshake_opencl), (3) 360/VR video transforms (v360), (4) Perspective correction (perspective), (5) Ken Burns/zoom-pan effects (zoompan), (6) Lens distortion correction (lenscorrection, lensfun), (7) Action camera footage, (8) Drone video processing, (9) VR headset formats. Provides: Stabilization workflows, 360 projection conversions, motion effects, lens correction.
Complete live streaming and protocol system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) RTMP streaming to Twitch/YouTube/Facebook, (2) HLS output and adaptive bitrate (ABR), (3) DASH streaming setup, (4) Low-latency streaming (LL-HLS, LL-DASH), (5) SRT protocol configuration, (6) WebRTC/WHIP sub-second latency (FFmpeg 8.0+), (7) Protocol conversion (RTMP to HLS), (8) Multi-destination streaming, (9) nginx-rtmp integration, (10) Docker streaming services. Provides: Platform-specific stream commands, ABR ladder examples, encryption setup, latency optimization, WHIP authentication, production patterns. Ensures: Reliable live streaming with optimal quality and latency.
Complete video transition system. PROACTIVELY activate for: (1) xfade transitions (40+ types), (2) Fade in/out effects, (3) Crossfades and dissolves, (4) Wipe transitions (directional), (5) Slide and push effects, (6) Circle/iris transitions, (7) Multi-clip transition sequences, (8) Slideshow creation, (9) Custom transition expressions, (10) Audio crossfade synchronization. Provides: Complete xfade type reference, offset calculation formulas, multi-clip examples, custom expression guide, troubleshooting for resolution/framerate mismatches. Ensures: Smooth professional transitions between video clips.
Complete FFmpeg video analysis and quality control filters for automation and broadcast workflows. PROACTIVELY activate for: (1) Detecting black frames (blackdetect, blackframe), (2) Finding blurry/frozen frames (blurdetect, freezedetect), (3) Auto crop detection (cropdetect), (4) Scene change detection (scdet), (5) Interlace detection (idet), (6) Quality metrics (PSNR, SSIM, VMAF), (7) Signal analysis (signalstats), (8) Frame information logging (showinfo), (9) QC automation scripts, (10) Broadcast compliance checking. Provides: Detection filters, quality metrics, analysis commands, automation patterns.
Complete audio visualization system. PROACTIVELY activate for: (1) Animated waveforms (showwaves), (2) Static waveform images (showwavespic), (3) Spectrum analyzers (showspectrum), (4) Frequency bar visualizations (showfreqs), (5) Stereo vectorscope (avectorscope), (6) Musical note display (showcqt), (7) SoundCloud-style waveforms, (8) Music video visualizers, (9) Podcast waveform videos, (10) Combined visualization dashboards. Provides: Filter parameter tables, color scheme options, scale comparisons, template commands for music videos and podcasts. Ensures: Professional audio visualizations for content creation.
Complete browser-based FFmpeg system. PROACTIVELY activate for: (1) ffmpeg.wasm setup and loading, (2) Browser video transcoding, (3) React/Vue/Next.js integration, (4) SharedArrayBuffer and COOP/COEP headers, (5) Multi-threaded ffmpeg-core-mt, (6) Cloudflare Workers limitations, (7) Custom ffmpeg.wasm builds, (8) Memory management and cleanup, (9) Progress tracking and UI, (10) IndexedDB core caching. Provides: Framework-specific examples, header configuration, common operation recipes, performance optimization, troubleshooting guides. Ensures: Client-side video processing without server dependencies.
CapCut-style animated word-level captions for viral video with FFmpeg. PROACTIVELY activate for: (1) Word-by-word caption highlighting, (2) Animated subtitle effects, (3) CapCut-style captions, (4) Karaoke-style text, (5) Bounce/pop text animations, (6) Color-changing words, (7) Emoji integration in captions, (8) Multi-style caption presets, (9) Trending caption styles, (10) Social media caption optimization. Provides: ASS subtitle generation scripts, word-level timing workflows, animation presets, color schemes, font recommendations, and platform-specific caption styles for TikTok, YouTube Shorts, and Instagram Reels.
Comprehensive Python 3.13+ expertise system covering modern Python development, async programming, type hints, performance optimization, 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. 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.
Complete Python asyncio system. PROACTIVELY activate for: (1) async/await syntax, (2) asyncio.gather for concurrent execution, (3) TaskGroup (3.11+), (4) Semaphores for rate limiting, (5) Timeouts with asyncio.timeout, (6) Producer-consumer with Queue, (7) Async generators and context managers, (8) uvloop performance, (9) Common async gotchas. Provides: Concurrent patterns, I/O optimization, async libraries (aiohttp, httpx, asyncpg). Ensures correct async patterns without blocking.
Complete Python Cloudflare deployment system. PROACTIVELY activate for: (1) Python Workers with Pyodide, (2) FastAPI on Workers, (3) Cloudflare Containers for heavy compute, (4) Service bindings (RPC), (5) Environment variables in Workers, (6) Cold start optimization, (7) Workflows for durable execution, (8) GPU containers for AI. Provides: Worker code patterns, wrangler config, Dockerfile templates, FastAPI integration. Ensures edge deployment with proper architecture choices.
Complete FastAPI production system. PROACTIVELY activate for: (1) Project structure (scalable layout), (2) Pydantic schemas (input/output separation), (3) Dependency injection, (4) Async database with SQLAlchemy, (5) JWT authentication, (6) Error handling patterns, (7) Docker deployment, (8) Gunicorn + Uvicorn production, (9) Rate limiting, (10) Testing with httpx. Provides: Project templates, schema patterns, auth setup, Docker config. Ensures production-ready FastAPI applications.
Complete Python 3.13+ fundamentals system. PROACTIVELY activate for: (1) Python 3.13 free-threading (no-GIL), (2) JIT compiler usage, (3) Pattern matching syntax, (4) Walrus operator, (5) F-string features 3.12+, (6) Type parameter syntax 3.12+, (7) Exception groups, (8) Dataclasses and enums, (9) Context managers. Provides: Modern syntax, performance features, best practices, naming conventions. Ensures correct Python 3.13+ patterns with optimal performance.
Complete Python GitHub Actions system. PROACTIVELY activate for: (1) uv-based CI workflows (10-100x faster), (2) Matrix testing across Python versions, (3) Dependency caching with setup-uv, (4) Parallel test execution, (5) Reusable workflows, (6) Publishing to PyPI with trusted publishing, (7) Code coverage with codecov, (8) Security scanning. Provides: Workflow templates, caching config, matrix strategies, composite actions. Ensures fast, reliable CI/CD pipelines.
Complete Python gotchas reference. PROACTIVELY activate for: (1) Mutable default arguments, (2) Mutating lists while iterating, (3) is vs == comparison, (4) Late binding in closures, (5) Variable scope (LEGB), (6) Floating point precision, (7) Exception handling pitfalls, (8) Dict mutation during iteration, (9) Circular imports, (10) Class vs instance attributes. Provides: Problem explanations, code examples, fixes for each gotcha. Ensures bug-free Python code.
Modern Python patterns for Modal.com serverless platform. PROACTIVELY activate for: (1) Modal function deployment, (2) Type-safe Modal with Pydantic, (3) Async patterns in Modal, (4) GPU workloads (ML inference, training), (5) FastAPI web endpoints on Modal, (6) Scheduled tasks and cron jobs, (7) Modal Volumes and storage, (8) Testing Modal functions with pytest, (9) Modal classes and lifecycle methods, (10) Parallel processing with map/starmap. Provides: Type hints patterns, Pydantic integration, async/await patterns, pytest testing, FastAPI integration, scheduled tasks, Volume usage, cost optimization, and production-ready examples following Python 3.11+ best practices.
Complete OpenCV computer vision system for Python. PROACTIVELY activate for: (1) Image loading with cv2.imread (BGR format gotcha), (2) Video capture with cv2.VideoCapture, (3) Color space conversion (BGR to RGB, HSV, grayscale), (4) Image filtering (GaussianBlur, medianBlur, bilateralFilter), (5) Edge detection (Canny), (6) Contour detection with cv2.findContours, (7) Image resizing with interpolation methods, (8) Template matching, (9) Feature detection (SIFT, ORB, AKAZE), (10) Drawing functions (rectangle, circle, text), (11) Video writing with cv2.VideoWriter, (12) Morphological operations, (13) Deep learning with cv2.dnn module, (14) GPU acceleration with cv2.cuda, (15) Coordinate system (x,y vs row,col) gotchas. Provides: Image processing patterns, video capture/writing, memory management, performance optimization, Jupyter notebook workarounds. Ensures correct BGR handling and memory-safe OpenCV usage.
Complete Python package management system. PROACTIVELY activate for: (1) uv package manager (10-100x faster), (2) pyproject.toml configuration, (3) Virtual environment setup, (4) Dependency management with uv.lock, (5) Ruff linting and formatting, (6) src layout project structure, (7) Publishing to PyPI, (8) pip and requirements.txt. Provides: uv commands, pyproject.toml templates, ruff config, pre-commit setup. Ensures modern Python project setup with fast tooling.
Complete Python testing system. PROACTIVELY activate for: (1) pytest fundamentals, (2) Fixtures and scopes, (3) Parameterized tests, (4) Mocking with pytest-mock, (5) Async testing with pytest-asyncio, (6) Coverage configuration, (7) FastAPI testing with httpx, (8) Property-based testing with hypothesis, (9) Snapshot testing. Provides: pytest patterns, fixture examples, mock setup, coverage config. Ensures comprehensive test coverage with best practices.
Complete Python type hints system. PROACTIVELY activate for: (1) Built-in generics (list[str], dict[str, int]), (2) Union types (str | None), (3) Type parameter syntax 3.12+, (4) Protocol for structural typing, (5) TypedDict for dict schemas, (6) Literal and Final types, (7) TypeGuard and TypeIs, (8) ParamSpec for decorators, (9) Mypy/Pyright configuration. Provides: Type syntax, Protocol patterns, TypedDict, mypy config. Ensures static type safety with gradual typing strategy.
Complete Tailwind CSS v4 expertise system with 2025 best practices. PROACTIVELY activate for: (1) ANY Tailwind CSS task, (2) Tailwind v4 CSS-first configuration (@theme, @utility, @custom-variant), (3) Responsive design and dark mode implementation, (4) Performance optimization and JIT, (5) Plugin integration (@tailwindcss/typography, @tailwindcss/forms), (6) Framework integration (React, Vue, Next.js, Vite), (7) Migration from v3 to v4, (8) Custom utility and component creation, (9) Debugging and troubleshooting, (10) Production build optimization. Provides: Tailwind v4.1 complete features, CSS-first @theme configuration, @utility and @custom-variant directives, PostCSS and Vite plugin setup, responsive breakpoints, dark mode patterns (media/selector strategies), typography and forms plugins, animation/transition utilities, framework-specific integration patterns, performance optimization (tree-shaking, JIT), debugging techniques, VS Code extension setup, Prettier plugin configuration, and production-ready 2025 patterns. Ensures modern, performant, maintainable Tailwind CSS implementations.
Tailwind CSS accessibility patterns including WCAG 2.2 compliance, touch targets, focus management, and ARIA support
Tailwind CSS advanced design systems with design tokens and @theme configuration
Tailwind CSS advanced layout techniques including CSS Grid and Flexbox patterns
Tailwind CSS animations and transitions including built-in utilities and custom animation patterns
Tailwind CSS debugging and troubleshooting guide for common issues and solutions
Tailwind CSS integration guide for React, Vue, Next.js, and other frameworks
Tailwind CSS v4 fundamentals covering installation, CSS-first configuration, design systems, and 2025/2026 best practices
Comprehensive mobile-first responsive design patterns with 2025/2026 best practices for Tailwind CSS v4
Tailwind CSS performance optimization including v4 improvements and best practices
Tailwind CSS plugins including official plugins and custom plugin development
Tailwind CSS responsive design and dark mode implementation patterns for 2025/2026
Expert bash/shell scripting system across ALL platforms with Bash 5.3 and 2025 security-first practices. PROACTIVELY activate for: (1) ANY bash/shell script task, (2) Bash 5.3 features (${ } in-shell substitution, ${| } REPLY syntax, BASH_TRAPSIG), (3) Security-first patterns (60%+ exploits from poor validation, HISTFILE protection, absolute paths), (4) ShellCheck v0.11.0 validation (non-negotiable, POSIX.1-2024), (5) Modern automation (containers/CI/CD/cloud), (6) Scripts under 50 lines (Google Style), (7) Comprehensive debugging (tracing, profiling, breakpoints), (8) Git hooks and pipeline integration, (9) Container-aware scripting, (10) DevOps/deployment automation. Provides: Bash 5.3 complete features (BASH_TRAPSIG, C23 conformance), ShellCheck v0.11.0 (SC2327/SC2328/SC2294/SC2295), security-first mandatory validation patterns, debugging/troubleshooting techniques, container/Kubernetes detection, cloud provider helpers (AWS/Azure), CI/CD platform integration (GitHub Actions/Azure DevOps), parallel processing patterns, blue-green/canary deployments, Google Shell Style Guide compliance, cross-platform compatibility (Linux/macOS/Windows/containers), POSIX.1-2024 compliance, and production-ready 2025 patterns. Ensures secure, optimized, cloud-native scripts following latest 2025 standards.
Advanced bash array patterns including mapfile, readarray, associative arrays, and array manipulation (2025)
Bash 5.3 new features and modern patterns (2025)
Modern DevOps and CI/CD automation patterns with containers and cloud (2025)
Parallel and concurrent processing patterns in bash including GNU Parallel, xargs, job pools, and async patterns (2025)
Process substitution, named pipes (FIFOs), and advanced IPC patterns for efficient bash data streaming (2025)
Security-first bash scripting patterns for 2025 (mandatory validation, zero-trust)
ShellCheck validation as non-negotiable 2025 workflow practice
Advanced bash string manipulation including parameter expansion, pattern matching, regex, and text processing (2025)
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.
Complete fal.ai API reference system. PROACTIVELY activate for: (1) @fal-ai/client JavaScript setup, (2) fal_client Python setup, (3) fal.subscribe/run/stream methods, (4) Queue management (submit/status/result), (5) Webhook configuration, (6) File upload to fal.media, (7) REST API endpoints, (8) Real-time WebSocket connections, (9) Error handling patterns. Provides: Client configuration, method signatures, queue workflow, webhook payloads, common parameters. Ensures correct API usage with proper authentication and error handling.
Complete fal.ai audio system. PROACTIVELY activate for: (1) Whisper speech-to-text, (2) Transcription with timestamps, (3) Translation to English, (4) F5-TTS voice cloning, (5) ElevenLabs premium TTS, (6) Kokoro multi-language TTS, (7) XTTS open-source cloning, (8) Subtitle generation (SRT), (9) Audio file formats. Provides: STT/TTS endpoints, language codes, voice cloning setup, timestamp formatting. Ensures accurate transcription and natural speech synthesis.
Complete fal.ai image-to-image system. PROACTIVELY activate for: (1) FLUX image-to-image transformation, (2) ControlNet (canny, depth, pose), (3) Inpainting with masks, (4) Upscaling (ESRGAN, Clarity), (5) Background removal (BiRefNet, RemBG), (6) Face restoration (GFPGAN, CodeFormer), (7) IP-Adapter style transfer, (8) Strength parameter tuning. Provides: Transformation endpoints, mask formats, ControlNet types, upscaling options. Ensures proper image editing and enhancement workflows.
Complete fal.ai image-to-video system. PROACTIVELY activate for: (1) Kling 2.5/2.6 Pro image animation, (2) MiniMax Hailuo with prompt optimizer, (3) LTX image-to-video, (4) Runway Gen-3 Turbo, (5) Luma Dream Machine with loop, (6) Stable Video Diffusion, (7) Motion description prompts, (8) Portrait/product animation workflows. Provides: Model endpoints, motion keywords, animation techniques, workflow examples. Ensures natural image animation with proper motion description.
Complete fal.ai model selection system. PROACTIVELY activate for: (1) Choosing image generation models (FLUX, SDXL), (2) Choosing video models (Kling, Sora, LTX), (3) Choosing audio models (Whisper, ElevenLabs), (4) Model quality vs speed comparison, (5) Cost optimization by model tier, (6) 3D generation models, (7) Model-specific parameters, (8) Development vs production model selection. Provides: Model comparison tables, decision trees, pricing tiers, performance benchmarks. Ensures optimal model selection for quality, speed, and cost.
Complete fal.ai optimization system. PROACTIVELY activate for: (1) Queue vs run performance, (2) Parallel request batching, (3) Streaming for real-time UI, (4) WebSocket for interactive apps, (5) Model cost comparison, (6) Image size optimization, (7) Inference step tuning, (8) Webhook vs polling, (9) Result caching by seed, (10) Serverless scaling config. Provides: Parallel patterns, cost strategies, caching examples, monitoring setup. Ensures optimal performance and cost-effective usage.
Complete fal.ai serverless deployment system. PROACTIVELY activate for: (1) Creating fal.App class, (2) GPU machine selection (T4/A10G/A100/H100), (3) setup() for model loading, (4) @fal.endpoint decorators, (5) Persistent volumes for weights, (6) Secrets management, (7) Scaling configuration (min/max concurrency), (8) Multi-GPU deployment, (9) fal deploy commands, (10) Local development with fal run. Provides: App structure, Dockerfile patterns, deployment commands, scaling config. Ensures production-ready serverless ML deployment.
Complete fal.ai text-to-image system. PROACTIVELY activate for: (1) FLUX.1/2 Pro/Dev/Schnell generation, (2) SDXL and Fast SDXL, (3) Image size presets (square_hd, landscape_16_9), (4) Guidance scale and inference steps, (5) LoRA model application, (6) Seed for reproducibility, (7) Batch generation (num_images), (8) Ideogram for text in images, (9) Recraft for design assets. Provides: Model endpoints, parameter reference, prompt engineering, quality vs speed trade-offs. Ensures optimal text-to-image generation.
Complete fal.ai text-to-video system. PROACTIVELY activate for: (1) Kling 2.0/2.5/2.6 Pro video generation, (2) Sora 2 for creative videos, (3) LTX Video with audio, (4) Runway Gen-3 Turbo for fast iteration, (5) Luma Dream Machine, (6) Video duration and aspect ratio, (7) Motion prompt engineering, (8) Camera movement keywords. Provides: Model endpoints, quality tiers, prompt structure, duration options. Ensures cinematic video generation with proper motion description.
Complete fal.ai video-to-video system. PROACTIVELY activate for: (1) Kling O1 video editing, (2) Sora Remix transformation, (3) Video upscaling, (4) Frame interpolation, (5) Style transfer (anime, painting), (6) Object replacement/removal, (7) Color correction, (8) Video enhancement pipelines. Provides: Edit types (general/style/object), upscaling options, style keywords, enhancement workflows. Ensures consistent video transformation without flickering.
Comprehensive Next.js 15 expertise system covering App Router, Server Components, Server Actions, caching, middleware, authentication, 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 for mutations, (5) Data fetching and caching strategies, (6) Route Handlers (API routes), (7) Middleware for auth/i18n/redirects, (8) Dynamic and parallel routes, (9) Authentication with NextAuth.js, (10) Deployment (Vercel, Docker, static export). Provides: Next.js 15 complete features, 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.
Complete Next.js App Router fundamentals system (Next.js 15.5/16). PROACTIVELY activate for: (1) App directory structure and conventions, (2) Layouts and templates, (3) Loading and error boundaries, (4) Route groups and organization, (5) Parallel routes setup, (6) Metadata and SEO, (7) Server vs Client Components, (8) Navigation and View Transitions, (9) Async params pattern (Next.js 16 breaking change). Provides: File conventions, layout nesting, streaming UI, error handling, metadata templates, View Transitions API. Ensures correct App Router architecture with proper component boundaries.
Complete Next.js authentication system. PROACTIVELY activate for: (1) NextAuth.js (Auth.js) setup, (2) OAuth providers (GitHub, Google), (3) Credentials provider, (4) Session management (JWT/database), (5) Protected routes with middleware, (6) Role-based access control (RBAC), (7) Login/registration forms, (8) Authorization patterns, (9) Type augmentation for sessions. Provides: Auth.js configuration, middleware protection, session hooks, RBAC patterns, login forms. Ensures secure authentication with proper session handling.
Complete Next.js caching system with 'use cache' directive (Next.js 16). PROACTIVELY activate for: (1) Understanding 4 caching layers (Request Memoization, Data Cache, Full Route Cache, Router Cache), (2) Cache Components with 'use cache' directive, (3) fetch() caching options, (4) cacheLife() and cacheTag() functions, (5) Time-based revalidation, (6) On-demand revalidation with revalidatePath/revalidateTag, (7) Static generation with generateStaticParams, (8) Cache debugging. Provides: 'use cache' patterns, Cache Components, caching strategies, revalidation patterns, ISR setup, cache headers. Ensures optimal performance with correct cache invalidation.
Complete Next.js data fetching system (Next.js 15.5/16). PROACTIVELY activate for: (1) Server Component data fetching, (2) Parallel and sequential fetching, (3) Streaming with Suspense, (4) Route Handlers (API routes), (5) Client-side fetching with SWR/TanStack Query, (6) generateStaticParams for static generation, (7) Revalidation strategies, (8) Error handling for data, (9) Async params/searchParams (Next.js 16), (10) Cache Components with 'use cache'. Provides: Fetch patterns, caching options, streaming UI, API route handlers, client fetching setup, async params pattern. Ensures optimal data loading with proper caching and error handling.
Complete Next.js deployment system (Next.js 15.5/16). PROACTIVELY activate for: (1) Vercel deployment and configuration, (2) Self-hosted Node.js deployment, (3) Docker containerization, (4) Static export with output:'export', (5) Edge Runtime configuration, (6) Environment variables, (7) CI/CD with GitHub Actions, (8) Health checks and monitoring, (9) Production optimization, (10) Turbopack production builds (Next.js 16). Provides: Dockerfile, docker-compose, PM2 config, vercel.json, GitHub Actions workflows, Turbopack config. Ensures production-ready deployment with proper configuration.
Complete Next.js Middleware system (Next.js 15.5/16). PROACTIVELY activate for: (1) Creating middleware.ts (Edge) or proxy.ts (Node.js), (2) Matcher configuration, (3) Authentication protection, (4) Role-based access control, (5) Redirects and rewrites, (6) Internationalization (i18n), (7) Security headers (CSP, CORS), (8) Geolocation routing, (9) Bot detection, (10) Rate limiting patterns, (11) Node.js Middleware with proxy.ts (Next.js 16). Provides: Edge middleware patterns, Node.js proxy patterns, matcher syntax, auth guards, header manipulation, cookie handling, database access in proxy.ts. Ensures optimized request handling with proper security.
Complete Next.js advanced routing system. PROACTIVELY activate for: (1) Dynamic routes with [slug], (2) Catch-all routes [...slug], (3) Route groups for organization, (4) Parallel routes with @slot, (5) Intercepting routes for modals, (6) Private folders with _prefix, (7) Route Handlers (API), (8) Search params handling, (9) Programmatic navigation. Provides: Dynamic routing patterns, parallel route slots, modal interception, API handlers. Ensures flexible routing with proper URL structure.
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.
Complete React forms system. PROACTIVELY activate for: (1) Controlled form patterns, (2) React Hook Form setup and validation, (3) Zod schema validation, (4) Dynamic fields with useFieldArray, (5) Server Actions with forms, (6) useOptimistic for optimistic updates, (7) File upload handling, (8) Multi-step form wizards. Provides: Form validation, error handling, field arrays, file drag-drop, form state management. Ensures robust form handling with proper validation and UX.
Complete React component patterns system. PROACTIVELY activate for: (1) Compound components with context, (2) Render props pattern, (3) Higher-Order Components (HOC), (4) Custom hooks as patterns, (5) Provider pattern with reducer, (6) Controlled vs uncontrolled components, (7) Prop getter pattern, (8) State reducer pattern. Provides: Pattern implementations, composition strategies, reusable component APIs, flexible state control. Ensures clean, maintainable component architecture.
Complete React performance optimization system. PROACTIVELY activate for: (1) React.memo and memoization, (2) useMemo and useCallback usage, (3) Code splitting with React.lazy, (4) List virtualization (react-window, react-virtuoso), (5) Avoiding unnecessary re-renders, (6) useTransition and useDeferredValue, (7) Bundle optimization, (8) Web Vitals and profiling. Provides: Profiler setup, memoization patterns, lazy loading, virtualization config, state colocation. Ensures optimal React performance with measurable improvements.
Complete React TypeScript system. PROACTIVELY activate for: (1) Component props typing, (2) Event handler types, (3) Hooks with TypeScript, (4) Generic components, (5) forwardRef typing, (6) Context with type safety, (7) Utility types (Partial, Pick, Omit), (8) Discriminated unions for state. Provides: Props interfaces, event types, generic patterns, type-safe context, polymorphic components. Ensures type-safe React with proper TypeScript patterns.
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.
Git 2.49+ features including git-backfill, path-walk API, and performance improvements
Git 2.49+ features including reftables, sparse-checkout, partial clone, git-backfill, and worktrees
Complete Git expertise system for ALL git operations. PROACTIVELY activate for: (1) ANY Git task (basic/advanced/dangerous), (2) Repository management, (3) Branch strategies and workflows, (4) Conflict resolution, (5) History rewriting/recovery, (6) Platform-specific operations (GitHub/Azure DevOps/Bitbucket), (7) Advanced commands (rebase/cherry-pick/filter-repo). Provides: complete Git command reference, safety guardrails for destructive operations, platform best practices, workflow strategies, reflog recovery techniques, and expert guidance for even the most risky operations. Always asks user preference for automatic commits vs manual control.
Git security best practices for 2025 including signed commits, zero-trust workflows, secret scanning, and verification
GitHub Actions 2025 features including 1 vCPU runners, immutable releases, and Node24 migration
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.
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.
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.
Latest Docker 2025 features including AI Assistant, Enhanced Container Isolation, and Moby 25
Comprehensive Docker best practices for images, containers, and production deployments
Comprehensive Windows Git Bash and MINGW path conversion guide for Docker volume mounts and commands
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.
Critical PowerShell changes, deprecations, and migrations for 2025
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. Ensures professional-grade, cross-platform PowerShell automation following industry standards.
Modern PowerShell security practices including SecretManagement, JEA, WDAC, and credential protection
Shell detection and cross-shell compatibility guidance for PowerShell vs Git Bash/MSYS2 on Windows
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.
Comprehensive Azure Data Factory knowledge base with official documentation sources, CI/CD methods, deployment patterns, and troubleshooting resources
Databricks Job activity and 2025 Azure Data Factory connectors
Microsoft Fabric Lakehouse, OneLake, and Fabric Warehouse connectors for Azure Data Factory (2025)
Complete Salesforce expertise system across ALL platforms and integration scenarios. 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), (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, 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, and Hyperforce cloud-native architecture. Ensures production-ready, scalable, secure Salesforce solutions following Spring '25/Summer '25 best practices and Well-Architected Framework.
Salesforce Agentforce AI agents and autonomous automation (2025)
Salesforce Data Cloud integration patterns and architecture (2025)
Salesforce Flow Orchestrator multi-user automation best practices (2025)
Salesforce Hyperforce public cloud infrastructure and architecture (2025)
Salesforce Lightning Web Components Winter '26 and 2025 features
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.
Azure Kubernetes Service Automatic mode GA 2025 features including Karpenter, auto-scaling, and zero operational overhead
Azure OpenAI Service 2025 models including GPT-5, GPT-4.1, reasoning models, and Azure AI Foundry integration
Comprehensive Azure Well-Architected Framework knowledge covering the five pillars: Reliability, Security, Cost Optimization, Operational Excellence, and Performance Efficiency. Provides design principles, best practices, and implementation guidance for building robust Azure solutions.
Azure Deployment Stacks GA 2025 features for unified resource management, deny settings, and lifecycle management
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 2025-2026), (16) Faceless content creation (340% subscriber growth), (17) Community engagement and growth, (18) Shoppable video and social commerce (TikTok Shop $26.2B GMV), (19) Collaboration and cross-promotion, (20) Analytics and metrics interpretation. Provides: Research-backed viral video formulas, platform-specific optimization guides, hook templates with psychological triggers, retention strategies, trending content patterns, algorithm insights (YouTube March 2025 view counting, Instagram Sends Per Reach, TikTok cold start), production best practices, utility scripts for content calendars and metrics analysis, and comprehensive 2025-2026 patterns.
Master hook creation and audience retention for viral video success. PROACTIVELY activate for: (1) Video hook optimization, (2) Opening second strategies, (3) Audience retention improvement, (4) Attention capture techniques, (5) Psychological triggers, (6) Pattern interrupts, (7) Watch time optimization, (8) Drop-off prevention, (9) Engagement psychology. Provides: Hook formulas, psychological trigger frameworks, retention benchmarks, pattern interrupt techniques, and actionable retention improvement strategies.
Complete YouTube long-form video optimization for maximum watch time, SEO, and viral potential. PROACTIVELY activate for: (1) YouTube video strategy, (2) Long-form content planning, (3) Watch time optimization, (4) YouTube SEO, (5) Thumbnail design strategy, (6) Audience retention techniques, (7) YouTube monetization, (8) Connected TV optimization, (9) YouTube algorithm understanding. Provides: Video length optimization, thumbnail best practices, SEO strategies, retention techniques, monetization guidelines, and analytics interpretation.
Deep understanding of TikTok, YouTube, Instagram, and Facebook algorithms for 2025-2026. PROACTIVELY activate for: (1) Algorithm optimization, (2) Platform-specific strategy, (3) Content distribution understanding, (4) Engagement signal optimization, (5) Cold start strategies, (6) Trending and discovery, (7) Hashtag and SEO strategy, (8) Posting time optimization, (9) Cross-platform differences. Provides: Algorithm signal breakdowns, platform comparisons, optimization strategies, posting schedules, hashtag strategies, and discovery mechanisms.
Complete short-form video optimization for TikTok, Instagram Reels, YouTube Shorts, and Facebook Reels. PROACTIVELY activate for: (1) TikTok content strategy, (2) Instagram Reels optimization, (3) YouTube Shorts creation, (4) Facebook Reels strategy, (5) Short-form hook creation, (6) Vertical video best practices, (7) Trending audio selection, (8) Loop optimization, (9) Quick engagement tactics. Provides: Platform-specific length recommendations, algorithm insights, hook formulas, trending strategies, caption techniques, hashtag optimization, and posting schedules.
Complete Azure DevOps and Azure Pipelines expertise system with Sprint 254-262 features (2025). PROACTIVELY activate for: (1) ANY Azure DevOps/Pipelines task, (2) YAML pipeline creation/editing, (3) Workload identity federation (OIDC) passwordless authentication, (4) Pipeline performance analytics and monitoring, (5) Pipeline debugging/troubleshooting, (6) CI/CD optimization, (7) Security/compliance implementation, (8) Azure DevOps CLI operations, (9) Template management, (10) Microsoft Security DevOps integration. Provides: workload identity setup and migration, pipeline performance analytics and cost tracking, latest YAML schema (always researches current docs), Microsoft best practices, multi-stage pipeline patterns, caching/parallelization, Azure Key Vault integration, code scanning (SAST/dependency/container/IaC/secrets), deployment strategies, performance optimization, and systematic debugging.
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.
Azure DevOps Sprint 254-262 new features and enhancements (2025)
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-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.
Complete Terraform expertise system for all cloud providers (Azure, AWS, Google Cloud) and platforms. PROACTIVELY activate for: (1) ANY Terraform task (init/plan/apply/validate), (2) Infrastructure-as-code design, (3) Resource import and state management, (4) Multi-environment architectures, (5) CI/CD pipeline integration, (6) Security scanning and best practices, (7) Version-aware code generation, (8) CLI mastery with -chdir and all flags. Provides: comprehensive provider knowledge (AzureRM/AWS/GCP/community), version-aware implementations, state operations (mv/rm/import), bulk import strategies (Terraformer/aztfexport), security scanning (tfsec/Checkov), enterprise architecture patterns, complete CLI reference, and platform-specific guidance (Windows/Linux/macOS).
Comprehensive OpenTofu expertise including migration from Terraform, state encryption, OpenTofu 1.10/1.11 features (OCI registry, native S3 locking, ephemeral resources, enabled meta-argument), and CI/CD integration. Covers when to use OpenTofu vs Terraform with decision matrix.
Specialized Terraform task execution skill for autonomous infrastructure operations. Handles code generation, debugging, version management (1.10-1.14+), security scanning, and architecture design across all providers (AWS 6.0, AzureRM 4.x, GCP) and platforms. Covers ephemeral values, Terraform Stacks, policy-as-code, and 2025 best practices.
Complete Vitest 4.0 Playwright 1.55 MSW 2.x testing system. PROACTIVELY activate for: (1) ANY testing task (unit/integration/E2E/visual), (2) Test creation and scaffolding, (3) AI-powered test generation (Playwright agents), (4) Test debugging and failure analysis, (5) Coverage analysis and optimization, (6) Visual regression testing, (7) MSW mock management, (8) Test configuration (Vitest/Playwright), (9) CI/CD test setup, (10) Multi-project test architecture. Provides: Vitest 4.0 stable browser mode, visual regression testing, Playwright 1.55 AI test agents, intelligent test running, auto-scaffolding with boilerplate, MSW 2.11+ handler generation, coverage gap analysis, Playwright trace debugging with titlePath, advanced snapshot management, parallel execution optimization, and comprehensive test infrastructure setup. Ensures production-ready testing with latest 2025 patterns across all modern JavaScript projects.
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.
No verified skills in this plugin.
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, and prevents redundant work. Saves 62% context on average.
Expert agent on .NET microservices architecture, containerization, Docker, DDD, CQRS, and cloud-native patterns based on Microsoft's official guide. PROACTIVELY activate for: (1) ANY .NET microservices architecture task, (2) Docker containerization for .NET applications, (3) Domain-Driven Design (DDD) tactical and strategic patterns, (4) CQRS and Event Sourcing implementation, (5) Microservices communication patterns (sync/async), (6) API Gateway design with Ocelot, (7) Event-driven architecture with message brokers, (8) Resilience patterns (Circuit Breaker, Retry, Bulkhead) with Polly, (9) Entity Framework Core and Dapper for CQRS, (10) Kubernetes and Azure deployment strategies, (11) eShopOnContainers reference application guidance. Provides: comprehensive Microsoft .NET Microservices Architecture guide (v7.0), 350-page reference material via Agent Skill, Docker and container fundamentals, .NET 7+ best practices, microservices design patterns, DDD aggregate and repository patterns, CQRS read/write model separation, integration events and event bus patterns, security with IdentityServer and OAuth 2.0, health checks and monitoring, production-ready architecture guidance. Ensures scalable, resilient, maintainable microservices systems using .NET and Docker following Microsoft official guidance.
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.
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.