ai-multimodal
Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, pro
npx skills add majiayu000/claude-skill-registry --skill ai-multimodal-aia-11-hn-mib-mib-mockinterviewaib-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AI Multimodal Processing Skill Process audio, images, videos, documents, and generate images using Google Gemini's multimodal API. Unified interface for all multimedia content understanding and generation. ## Core Capabilities ### Audio Processing - Transcription with timestamps (up to 9.5 hours) - Audio summarization and analysis - Speech understanding and speaker identification - Music and environmental sound analysis - Text-to-speech generation with controllable voice ### Image Understanding - Image captioning and description - Object detection with bounding boxes (2.0+) - Pixel-level segmentation (2.5+) - Visual question answering - Multi-image comparison (up to 3,600 images) - OCR and text extraction ### Video Analysis - Scene detection and summarization - Video Q&A with temporal understanding - Transcription with visual descriptions - YouTube URL support - Long video processing (up to 6 hours) - Frame-level analysis ### Document Extraction - Native PDF vision processing (up to 1,000 pages) - Table and form extraction - Chart and diagram analysis - Multi-page document understanding - Structured data output (JSON schema) - Format conversion (PDF to HTML/JSON) ### Image Genera
- Core Capabilities
- Audio Processing
- Image Understanding
- Video Analysis
- Document Extraction
- Image Generation
- Capability Matrix
- Model Selection Guide
- Gemini 2.5 Series (Recommended)
- Feature Requirements
- Context Windows
- Quick Start
- Prerequisites
- Common Patterns
export GEMINI_USE_VERTEX=true export VERTEX_PROJECT_ID=your-gcp-project-id export VERTEX_LOCATION=us-central1 # Optional pip install google-genai python-dotenv pillow python scripts/gemini_batch_process.py \ Prepare large video for processing python scripts/media_optimizer.py \ Batch optimize multiple files Convert to PDF python scripts/document_converter.py \
What does the ai-multimodal skill do?
Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, pro
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ai-multimodal-aia-11-hn-mib-mib-mockinterviewaib-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.