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Skill by ara.so — Daily 2026 Skills collection.

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.

Category: test

Category: test \n Minimal Viable Test \n Goals \n \n Validate only the minimal request path for this skill. \n If execution fails, record exact error details without guessing parameters. \n \n Prerequisites \n \n Prepare authentication and region settings based on the skill instructions. \n Target skill: skills/ai/image/alicloud-ai-image-qwen-image \n \n Test Steps (Minimal) \n \n Open the target skill SKILL.md and choose one minimal input example. \n Send one minimal request or run the example

AI-powered image editing with style transfer, object removal, background changes, and inpainting. \n \n Supports five core operations: style transfer, object removal, background replacement, inpainting with masks, and general instruction-based edits \n Configurable strength parameter (0.0–1.0) to control edit intensity from subtle to dramatic \n Includes model discovery via search API to find the best current model for each operation type \n Requires image URL and editing prompt; optional mask U

Analyze images using Gemini's vision capabilities for OCR, UI analysis, and visual understanding. \n \n Supports PNG, JPEG, GIF, and WebP images including screenshots, diagrams, charts, and code snippets \n Built-in analysis templates for common tasks: text extraction, code recovery, UI/UX feedback, error diagnosis, and data extraction from charts \n Handles single and multiple image comparisons in a single request \n Requires Google Generative AI library and valid GEMINI_API_KEY environment var

Enhance image resolution, sharpness, and clarity for professional-quality output. \n \n Analyzes and improves resolution, sharpness, and compression artifacts; intelligently upscales images while reducing noise \n Supports batch processing of entire directories and preserves original files automatically \n Optimizes output based on intended use case: web, print, social media, or presentations \n Works best with screenshots and digital images; accepts PNG and JPG formats with configurable output

Unified access to 8 AI image generation models with automatic model selection and zero API key setup. \n \n Supports Midjourney, Flux (Pro/Dev/Schnell), Ideogram, Recraft, SDXL, and Nano Banana with automatic model routing based on user intent \n Handles Midjourney's async polling transparently; all models return consistent output format with image URLs \n Includes Midjourney actions (upscale, variation, reroll) and reference image support for style consistency \n All requests routed through hos

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