Agent skill · Backend & API

ai-multimodal

Process and generate multimedia content using Google Gemini API for better vision capabilities. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (better image analysis than Claude models, captioning, reasoning, object detection, design extraction, OCR, visual Q&A, segmentation, handle multiple images), 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 (

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill ai-multimodal-binjuhor-shadcn-lar-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Allowed tools: -Bash-Read-Write-Edit
Path: skills/ai-llm/ai-multimodal-binjuhor-shadcn-lar-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# AI Multimodal Process audio, images, videos, documents, and generate images/videos using Google Gemini's multimodal API. ## Setup ```bash export GEMINI_API_KEY="your-key" # Get from https://aistudio.google.com/apikey pip install google-genai python-dotenv pillow ``` ## Quick Start **Verify setup**: `python scripts/check_setup.py` **Analyze media**: `python scripts/gemini_batch_process.py --files <file> --task <analyze|transcribe|extract>` - TIP: When you're asked to analyze an image, check if `gemini` command is available, then use `"<prompt to analyze image>" | gemini -y -m gemini-2.5-flash` command. If `gemini` command is not available, use `python scripts/gemini_batch_process.py --files <file> --task analyze` command. **Generate content**: `python scripts/gemini_batch_process.py --task <generate|generate-video> --prompt "description"` > **Stdin support**: You can pipe files directly via stdin (auto-detects PNG/JPG/PDF/WAV/MP3). > - `cat image.png | python scripts/gemini_batch_process.py --task analyze --prompt "Describe this"` > - `python scripts/gemini_batch_process.py --files image.png --task analyze` (traditional) ## Models - **Image generation**: `imagen-4.0-generate-001`

What's inside
Steps it walks through
  1. Setup
  2. Quick Start
  3. Models
  4. Scripts
  5. References
  6. Limits
  7. Resources
Ships with 1 file
  • metadata.json
Commands it runs
export GEMINI_API_KEY="your-key"  # Get from https://aistudio.google.com/apikey
pip install google-genai python-dotenv pillow
More from claude-skill-registry
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About this skill
What does the ai-multimodal skill do?

Process and generate multimedia content using Google Gemini API for better vision capabilities. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (better image analysis than Claude models, captioning, reasoning, object detection, design extraction, OCR, visual Q&A, segmentation, handle multiple images), 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 (

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill ai-multimodal-binjuhor-shadcn-lar-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.

Keep going