Tailwind CSS changed how we write styles. Instead of naming things and writing CSS, you compose utility classes directly in your HTML. It sounds messy until you try it - then you never want to go...
Build agents that generate creative content including music, memes, podcasts, and multimedia. Covers generative models, content synthesis, style transfer, and creative control. Use when building...
Generate images, videos, and audio with fal.ai serverless AI. Use when building AI image generation, video generation, image editing, or real-time AI features. Triggers on fal.ai, fal, AI image...
Generate images, videos, and audio with fal.ai serverless AI. Use when building AI image generation, video generation, image editing, or real-time AI features. Triggers on fal.ai, fal, AI image...
Generate high-quality images from text prompts using fal.ai's text-to-image models. Supports intelligent model selection, style transfer, and professional-grade outputs.
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Generate hand-drawn style diagrams and infographics for recovery education articles. Creates anatomist's notebook aesthetic visuals - brain diagrams, timelines, social comparisons, and process...
Simon Prince's comprehensive deep learning framework for understanding neural networks, architectures, and training.
Multimodal media authentication and deepfake forensics. PRNU analysis, IGH classification, DQ detection, semantic forensics, and LLM-augmented sensemaking for the post-empirical era.
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Automatically discover machine learning and AI skills when working with machine learning. Activates for ml development tasks.
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Implement canary deployment strategies to gradually roll out new versions to subset of users with automatic rollback based on metrics.
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Git-based codebase exploration with delta analysis. Performs full exploration on first run, then incremental delta exploration tracking committed and uncommitted changes.
Mac M4芯片专用的无GUI LoRA自动化训练工具，支持参数自调、MPS加速、自然语言反馈优化
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+...
AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.