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Found 89 Skills
基于 FFmpeg 的图片处理技能，提供最实用的日常图片处理命令
Process images and support adding captions to images. Two caption modes: bottom frame style (like a picture frame) and internal sticker style (similar to Xiaohongshu effect). Implemented with PIL/Pillow, supports Chinese and Emoji.
Process images for web development — resize, crop, trim whitespace, convert formats (PNG/WebP/JPG), optimise file size, generate thumbnails, create OG card images. Uses Pillow (Python) — no ImageMagick needed. Trigger with 'resize image', 'convert to webp', 'trim logo', 'optimise images', 'make thumbnail', 'create OG image', 'crop whitespace', 'process image', or 'image too large'.
Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."
Remove visible Gemini image watermarks from local image files by calling the project's CLI. Use when the user wants an agent to clean one or more local Gemini-generated images and save de-watermarked output files.
Remove visible watermarks from an image with the Pilio developer API. Use when the user wants to clean a PNG, JPG, JPEG, or WEBP image, remove image watermark overlays, or automate image watermark removal through Pilio.
Virtual try-on: clothing, accessories, hairstyles, makeup, glasses, hats, shoes, watches. Use when the user wants to see how an item looks on a person — e.g. "try on this dress", "put these glasses on me", "show me with this hairstyle", "what would I look like in this outfit".
Background removal: transparent PNGs, cutouts, product photos, portraits, pets, group photos. Uses dedicated Bria RMBG 2.0 model — no prompt needed, fast (~3s), cheap ($0.01). Use when removing backgrounds, creating transparent PNGs, making cutouts, extracting foreground subjects, or preparing images for compositing.
Linear operators for large-scale inverse problems with matrix-free representations. Use when Claude needs to: (1) Define linear operators for forward/adjoint operations, (2) Solve inverse problems (deconvolution, imaging, tomography), (3) Apply signal processing transforms (FFT, convolution, derivatives), (4) Compose operators for complex workflows, (5) Perform regularized inversion with smoothness or sparsity constraints, (6) Process seismic or image data at scale.
Transform product photos via Picsart gen-ai — six modes.
Remove unwanted objects, people, text, and imperfections from photos using each::sense AI. Clean up images with intelligent inpainting that seamlessly fills removed areas.
Multimodal image processing skill, supporting text-to-image, image-to-image, image-to-text, long image stitching, marketing material packs, product design images, element disassembly diagrams, and social media image sets. Triggered when the user mentions keywords such as "draw", "generate image", "draw XX", "image processing", "image-to-image", "OCR", "image recognition", "stitch long image", "infographic", "illustration", "product image", "material pack", "marketing material", "detail page", "e-commerce image", "design drawing", "exploded view", "disassembly", "image set", "nine-grid", etc. Note: If the user requests a video (including illustrations + voiceover), use the video-creator skill instead.