提供基于 FFmpeg 和 ImageMagick 的多媒体处理能力,支持视频和图像的格式转换、分辨率调整、压缩等操作
npx skills add https://github.com/anbeime/skill --skill media-processor
apt-get update && apt-get install -y ffmpeg imagemagick
scripts/ 中的视频处理脚本scripts/ 中的图像处理脚本scripts/video_convert.pyscripts/video_compress.pyscripts/video_scale.pyscripts/image_convert.pyscripts/image_scale.pyscripts/image_compress.py*.avi、images/*.png)./ 开头)# 将 video.avi 转换为 video.mp4
python scripts/video_convert.py \
--input ./video.avi \
--output ./video.mp4 \
--format mp4
# 将所有 PNG 转换为 JPG
for file in ./images/*.png; do
output="${file%.png}.jpg"
python scripts/image_convert.py \
--input "$file" \
--output "$output" \
--format jpg \
--quality 85
done
# 先缩放再压缩
python scripts/video_scale.py \
--input ./input.mp4 \
--output ./temp.mp4 \
--width 1280 \
--height 720
python scripts/video_compress.py \
--input ./temp.mp4 \
--output ./output.mp4 \
--bitrate 2M
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
Take anbeime/media-processor from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference apt.
Without those the skill loads but fails at the first command.