Imagemagick CLI Agent Skill
Comprehensive ImageMagick 7 command-line image processing for inspecting, converting, resizing, cropping, compositing, masking, drawing, annotating, color correction, quantization, filtering, morphology, distortion, animation, montage, comparison, metadata, batch automation, and advanced pixel analysis. Use whenever a task mentions ImageMagick, `magick`, `identify`, `mogrify`, raster image conversion or batch image manipulation, or when a reproducible CLI pipeline is preferable to a GUI or language binding. Also use for debugging ImageMagick commands, porting ImageMagick 6 `convert` syntax to version 7, choosing coder/delegate options, and safely processing untrusted or large images. Do not use merely to edit an existing SVG as vector source or when the user explicitly requests a different image tool.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/Yuki001/game-dev-skills --skill imagemagick-cliOther skills for the same job
different authors, same section of the catalogue
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.
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.
Best practices for Remotion - Video creation in React
Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.
Best practices for Remotion - Video creation in React
Port an existing Remotion (React) composition''s source to HyperFrames HTML. Use ONLY on an explicit ask to port/convert/migrate/translate a Remotion source — one-way, Remotion-only. A passing Remotion mention, reference-only code, or "make something like my Remotion video" is a fresh build (/general-video). Unclear → /hyperframes.
Use this skill when building applications with Gemini API hosted models, including Gemini and Gemma 4, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. Covers SDK usage...
Turn error logs, screenshots, voice notes, and rough bug reports into crisp, developer-ready GitHub issues with repro steps, impact, and evidence.
How to use it
Take yuki001/imagemagick-cli 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.