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Skill by ara.so — Daily 2026 Skills collection.

Generate high-quality AI images using Volcengine's Jimeng 4.0 API with text prompts or image inputs.

Search for images using Google Custom Search API with intelligent scoring and LLM-based selection.

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

Multi-provider AI image generation with text-to-image, reference images, batch processing, and quality presets. \n \n Supports seven providers: OpenAI, Google, OpenRouter, DashScope, Jimeng, Seedream, and Replicate with automatic provider selection or explicit override \n Handles single images via CLI flags or batch parallel generation from JSON files with configurable worker counts and per-provider throttling \n Supports reference images (Google, OpenAI, OpenRouter, Replicate, Seedream), custom

Convert still images to animated videos via inference.sh CLI.

Convert still images to animated videos with model selection, motion prompting, and camera control. \n \n Six models available (Wan 2.5 i2v, Seedance, Fabric, Grok) with guidance on when to use each based on content type and motion style \n Motion prompting framework covering camera movement (pan, dolly, orbit, crane), subject motion (natural elements, character, liquid), and atmospheric effects \n Best practices emphasizing subtle motion over dramatic action, with structured prompt templates an

Generate images with FLUX models via inference.sh CLI.

Elite website image-to-code skill for Codex. For visually important web tasks, it must first generate the design image(s) itself, deeply analyze them, then implement the website to match them as closely as possible. In Codex, it must prefer large, readable, section-specific images instead of tiny compressed boards, generate fresh standalone images for sections or detail views instead of cropping old ones, avoid lazy under-generation, avoid cards-inside-cards-inside-cards UI, and keep the hero clean, spacious, readable, and visible on a small laptop.

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