Create a new Remotion video
npx skills add https://github.com/remotion-dev/remotion --skill remotion-create
These are instructions for making a new Remotion project and composition.
If this is not the next task, see Remotion Best Practices
If a project already exists, skip this.
Ensure Node.js and Git is installed, and the current folder is appropriate for starting a new project.
Scaffold one using:
npx create-video@latest --yes --blank --no-tailwind my-video
cd my-video
npm i
Replace my-video with a suitable project name.
Keep the scaffold and add React Markup.
Follow Remotion React Markup Best Practices and Video Layout Rules for video-first layout and text sizing guidance.
If this is a video with multiple subsequence videos, follow guidance at Multi-scene videos.
By structuring the React Markup following Remotion Interactivity Best Practices, you allow the user to make edits in the Studio which write back to code.
If Tailwind is requested, see tailwind.md for using TailwindCSS in Remotion.
Start the preview server after building the composition:
npx remotion studio --no-open
This will start a long-running process and print the server URL for the preview.
If the server is already started, it will print the URL.
If an in-harness browser is available, open it there.
You can visit a specific composition by navigating to /[composition-id], for example http://localhost:3000/MapAnimation.
Only render if the user explicitly asks for it.
npx remotion render
For more options, see Rendering.
The video creation process has finished.
For follow-up prompts, use Remotion Best Practices
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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 remotion-dev/remotion-remotion-create 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 npx.
Without those the skill loads but fails at the first command.