anil-matcha/muapi-director
> Turn ONE topic, talking-head video, or photo into a finished Vox-style paper-collage explainer / ad video on the MuAPI platform (api.muapi.ai) + local ffmpeg — script, collage keyframes, motion, voice-over, music, captions, all automated. photo of a person/product anchored into the collage (C-roll mode).
npx skills add https://github.com/Anil-matcha/vox-ai-motion-graphics-generator --skill muapi-director
Turn a topic, talking-head video, or photo into a finished Vox-style paper-collage video: a bold, punchy, narrated explainer/ad where each beat is a torn-paper collage poster that comes alive, with voice-over, music and captions. Powered by MuAPI (MUAPI_API_KEY) + local ffmpeg.
MUAPI_API_KEY set in your environment (get one from https://muapi.ai).ffmpeg + ffprobe installed on system path.Pillow (pip install pillow).out/<project>/beats.json containing topic, language, and beat map.python3 scripts/style_bakeoff.py out/<project> (Pick theme from candidates).python3 scripts/keyframes.py out/<project> (Generates collage posters).python3 scripts/clips.py out/<project> (Animates posters into motion clips).python3 scripts/audio.py out/<project> (Generates TTS narration and instrumental BGM).python3 scripts/assemble.py out/<project> (Muxes audio, ducking, captions, watermark -> final.mp4).python3 scripts/asr_beats.py out/<project> <source.mp4>python3 scripts/aroll_clips.py out/<project>python3 scripts/aroll_assemble.py out/<project>"mode": "croll", "anchor_photo": "photo.png", "croll_subject": "portrait"|"product" to beats.json.python3 scripts/croll_keyframes.py out/<project>python3 scripts/clips.py out/<project>python3 scripts/audio.py out/<project>python3 scripts/assemble.py out/<project>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 anil-matcha/muapi-director 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 pip.
Without those the skill loads but fails at the first command.