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Found 79 Skills
Analyzes and processes images using Claude's vision capabilities. Supports OCR, image classification, diagram comparison, chart analysis, visual Q&A, and more. Use when users need to understand, extract, or analyze visual content.
Use when the user's intent is visual and the task can be solved with Fotor OpenAPI image or video generation, editing, transformation, enhancement, batch output, or account credit lookup, including product photos, marketing creatives, posters,banners, social covers, background changes, upscaling, restoration, and other image- or video-related asset workflows.
Expertise in See-through, a framework for single-image layer decomposition of anime characters into manipulatable 2.5D PSD files using diffusion models.
Generate iOS app assets like UI icons, sprites, illustrations, backgrounds, and graphics. Use when creating tab bar icons, toolbar icons, game sprites, onboarding illustrations, or any in-app visual assets. NOT for app icons (use ios-app-icon skill instead).
Resize, convert, and batch-process images using ImageMagick.
Image analysis and manipulation. Use when: user wants to analyze images, extract metadata, convert formats, resize, or get image information.
CLI harness for Krita digital painting — manage projects, layers, filters, and export via command line. Use when automating Krita workflows, batch processing images, or operating Krita without a GUI.
Image Generation Skill: Use this skill when users need to generate images, visual infographics, create graphics, or edit/modify/adjust existing images. Based on the official formal version of the ChatGPT Image 2 model (gpt-image-2) from Apiyi Platform (https://api.apiyi.com/). This model supports precise size/quality control (including 4K) and is billed by token. Key differences from gpt-image-2-all (official reverse version): Uses /v1/images/generations and /v1/images/edits endpoints; Has explicit size parameter; Has quality parameter; Billed by token; Uses multipart/form-data to upload reference images; b64_json is pure base64 without prefix.
Relight photos and images using each::sense AI. Transform lighting conditions, add studio lighting, golden hour effects, dramatic shadows, neon glows, and match lighting to any environment.
Resize photos and videos to exact pixel dimensions or aspect ratios using Adobe tools. Use this skill whenever a user wants to resize, scale, or change the dimensions of an image or video file — including phrases like "resize this to 1920x1080", "make this 4K", "scale to 800x600", "change the aspect ratio to 16:9", "resize my video", "make the image smaller", "crop to square", "fit this to a specific size", "resize for print", "resize for web", "make it 300 DPI ready", "change canvas size", "resize a batch of photos", or any request specifying target dimensions (W×H, ratio, or named size like "4K", "HD", "A4"). Also triggers for: "make this fit a specific size", "resize to [any dimension]", "I need this at [WxH]", "scale my video down", "change resolution", "downscale", "upscale". NOT for social media platform sets (use adobe-create-social-variations for that). Uses image_crop_and_resize for photos, video_resize for videos.
Maintain the LovStudio website's partners section AND align partner logo rows on event posters / hero strips: scrape brand logos from homepages, normalize to a 240px-tall content canvas (retina-ready), rasterize SVGs via rsvg-convert before normalizing (so SVG viewBox padding gets cropped), strip embedded background rects from icon-style SVGs, composite icon + wordmark when only an icon is available (using brand fonts), wrap logos in a fixed-size grid box (96×30 with subtle border) for stable matrix layouts, replace existing logos with user-provided files, append new partners to the PARTNERS array with i18n taglines across zh-CN/en/ja/th, and audit the section for dead URLs / missing files / missing translations. Also handles cross-asset visual height parity (multi-logo strips on dark backgrounds, "logo 不等高", unified-color filter recipe). Trigger when the user mentions "合作伙伴", "partners", "trusted by", "新增 logo", "标准化 logo", "替换 logo", "审计合作伙伴", "维护合作伙伴", "logo 不一样高", "logo 对齐", "logo 大小不一致", "logo 颜色不统一", "logo 不清晰", "logo 糊了", "矩阵格子", "等宽 box", "图标加文字", "compose wordmark".
Analyzes images using a vision-capable LLM (Optic). Can read workspace images, URLs, base64 data, or previously generated images by ID.