adf-master
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adf-ml-analytics
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adf-validation-rules
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databricks-2025
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fabric-onelake-2025
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windows-git-bash-compatibility
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ado-pipeline-best-practices
Azure DevOps pipeline best practices, patterns, and industry standards
ado-windows-git-bash-compatibility
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.
defender-for-devops
Microsoft Defender for DevOps integration with Azure Pipelines (2025)
sprint-254-features
Azure DevOps Sprint 254-262 new features and enhancements (2025)
aks-automatic-2025
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azure-ml-foundry-workspace
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azure-openai-2025
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azure-well-architected-framework
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container-apps-gpu-2025
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deployment-stacks-2025
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azure-emulators-2025
Azure service emulators for local development including Azurite, Cosmos DB, and Event Hub Docker containers
compose-patterns-2025
Docker Compose production patterns 2025 including multi-environment strategies, health checks, and modern compose features
docker-watch-mode-2025
Docker Compose Watch mode for automatic hot reload during local development with sync, rebuild, and restart actions
advanced-array-patterns
Advanced bash array patterns including mapfile, readarray, associative arrays, and array manipulation (2025)
bash-53-features
Bash 5.3 new features and modern patterns (2025)
bash-master
Expert bash/shell scripting system across ALL platforms. PROACTIVELY activate for: (1) ANY bash/shell script task, (2) System automation, (3) DevOps/CI/CD scripts, (4) Build/deployment automation, (5) Script review/debugging, (6) Converting commands to scripts. Provides: Google Shell Style Guide compliance, ShellCheck validation, cross-platform compatibility (Linux/macOS/Windows/containers), POSIX compliance, security hardening, error handling, performance optimization, testing with BATS, and production-ready patterns. Ensures professional-grade, secure, portable scripts every time.
debugging-troubleshooting-2025
Comprehensive bash script debugging and troubleshooting techniques for 2025
modern-automation-patterns
Modern DevOps and CI/CD automation patterns with containers and cloud (2025)
parallel-processing-patterns
Parallel and concurrent processing patterns in bash including GNU Parallel, xargs, job pools, and async patterns (2025)
process-substitution-fifos
Process substitution, named pipes (FIFOs), and advanced IPC patterns for efficient bash data streaming (2025)
security-first-2025
Security-first bash scripting patterns for 2025 (mandatory validation, zero-trust)
shellcheck-cicd-2025
ShellCheck validation as non-negotiable 2025 workflow practice
string-manipulation-mastery
Advanced bash string manipulation including parameter expansion, pattern matching, regex, and text processing (2025)
cloudflare-knowledge
Comprehensive Cloudflare platform knowledge covering Workers, storage (R2/D1/KV/Durable Objects/Queues), AI Workers, Hyperdrive, Zero Trust, MCP servers, Workflows, and all platform features
context-master
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), passive deep analysis architecture, progressive task decomposition, and prevents redundant work. Saves 62% context on average. Essential for maintaining session performance and analytical depth.
docker-2025-features
Latest Docker 2025 features including AI Assistant, Enhanced Container Isolation, and Moby 25
docker-best-practices
Comprehensive Docker best practices for images, containers, and production deployments
docker-git-bash-guide
Comprehensive Windows Git Bash and MINGW path conversion guide for Docker volume mounts and commands
docker-platform-guide
Platform-specific Docker considerations for Windows, Linux, and macOS
docker-security-guide
Comprehensive Docker security guidelines and threat mitigation strategies
microsoft-guide
Complete Microsoft .NET Microservices Architecture guide (v7.0) - 350 pages of comprehensive reference material
fal-api-reference
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.
fal-audio
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.
fal-image-to-image
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.
fal-image-to-video
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.
fal-model-guide
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.
fal-optimization
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.
fal-serverless-guide
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.
fal-text-to-image
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.
fal-text-to-video
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.
fal-video-to-video
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.
ffmpeg-animation-timing-reference
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.
ffmpeg-audio-processing
Complete audio encoding and normalization system. PROACTIVELY activate for: (1) Audio codec selection (AAC, MP3, Opus, FLAC), (2) Loudness normalization (EBU R128, loudnorm), (3) Audio extraction from video, (4) Format conversion, (5) Volume adjustment and dynamics, (6) Noise reduction and EQ, (7) Channel operations (stereo/mono/surround), (8) Sample rate and bit depth conversion, (9) Audio fade in/out and crossfades, (10) Podcast and broadcast processing chains. Provides: Codec comparison tables, loudness standards reference, two-pass normalization scripts, professional mastering chains. Ensures: Broadcast-compliant audio with proper loudness and quality.
ffmpeg-captions-subtitles
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.
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