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Generate images with 50+ AI models including FLUX, Gemini, Grok, and Seedream via inference.sh CLI. \n \n Supports text-to-image, image-to-image, inpainting, LoRA customization, image editing, upscaling, and text rendering across multiple model families \n Models range from ultra-fast budget options (FLUX Klein at $0.0001/image) to high-fidelity 4K outputs (Seedream 4.5, ImagineArt 1.5 Pro) \n Includes Google Gemini, xAI Grok, ByteDance Seedream, and Pruna P-Image variants with configurable aspe

Text-to-image generation and image transformation with Stable Diffusion models via HuggingFace Diffusers. \n \n Supports multiple generation modes: text-to-image, image-to-image translation, inpainting, outpainting, and ControlNet spatial conditioning for precise control \n Compatible with SD 1.5, SDXL, SD 3.0, and Flux models; includes scheduler swapping (Euler, DPM-Solver, LCM) for quality and speed trade-offs \n LoRA adapter support for efficient style fine-tuning and multi-adapter compositio

Generate engaging Instagram content using each::sense. This skill creates images and videos optimized for Instagram's various placements, formats, and visual best practices.

Used for generating synthetic body MRI volumes with NV-Generate-CTMR rflow-mr. Not for paired masks or production training data.

Used for generating synthetic CT volumes and masks with NV-Generate-CTMR rflow-ct. Not for production training data without review.

Generate or edit images using AI models for various visual content needs.

Hypothesis generation is a systematic process for developing testable explanations. Formulate evidence-based hypotheses from observations, design experiments, explore competing explanations, and develop predictions. Apply this skill for scientific inquiry across domains.

You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices.

Multi-platform lead scraping from Google Maps, social media, websites, and search engines. \n \n Supports 16+ Actors covering Google Maps, Instagram, TikTok, Facebook, YouTube, LinkedIn, Google Search, and contact enrichment \n Dynamically fetches Actor schemas via mcpc CLI to determine required and optional input parameters before execution \n Outputs results as quick chat summaries, CSV, or JSON files with configurable result limits \n Requires APIFY_TOKEN in .env file and Node.js 20.6+ for en

Generate high-quality images via Gemini models with structured prompts, aspect ratios, and brand validation. \n \n Supports multiple Gemini models (gemini-3-pro-image, gemini-2.5-flash-image, gemini-2.5-pro-image) optimized for different quality and speed tradeoffs \n Enforces structured prompt format covering subject, style, lighting, mood, composition, aspect ratio, and brand colors to ensure consistent outputs \n Includes validation workflows across multiple agents for prompt completeness, st