devattom/ai-multimodal
skills/ai-multimodal/SKILL.md
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, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.
development
Updated Apr 24, 2026
$ install --global
skillsauthnpx skillsauth add devattom/.claude ai-multimodalInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 24, 2026, 8:07 AM48.1s15 files scanned
SKILL.md
- name:
- ai-multimodal
- description:
- 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, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.
- license:
- MIT
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 Generation
- Text-to-image generation
- Image editing and modification
- Multi-image composition (up to 3 images)
- Iterative refinement
- Multiple aspect ratios (1:1, 16:9, 9:16, 4:3, 3:4)
- Controllable style and quality
Capability Matrix
| Task | Audio | Image | Video | Document | Generation | |------|:-----:|:-----:|:-----:|:--------:|:----------:| | Transcription | ✓ | - | ✓ | - | - | | Summarization | ✓ | ✓ | ✓ | ✓ | - | | Q&A | ✓ | ✓ | ✓ | ✓ | - | | Object Detection | - | ✓ | ✓ | - | - | | Text Extraction | - | ✓ | - | ✓ | - | | Structured Output | ✓ | ✓ | ✓ | ✓ | - | | Creation | TTS | - | - | - | ✓ | | Timestamps | ✓ | - | ✓ | - | - | | Segmentation | - | ✓ | - | - | - |
Model Selection Guide
Gemini 3.0 Series (Latest)
- gemini-3-pro-image-preview: Best for image generation with text labels
- Superior text rendering in generated images
- Ideal for: architecture diagrams, infographics, technical illustrations
- Supports: 1:1, 16:9, 21:9, 3:4, 4:3, 9:16 aspect ratios
- Max prompt: 480 tokens
Gemini 2.5 Series (Recommended)
- gemini-2.5-pro: Highest quality, all features, 1M-2M context
- gemini-2.5-flash: Best balance, all features, 1M-2M context
- gemini-2.5-flash-lite: Lightweight, segmentation support
- gemini-2.5-flash-image: Image generation only
Gemini 2.0 Series
- gemini-2.0-flash: Fast processing, object detection
- gemini-2.0-flash-lite: Lightweight option
Feature Requirements
- Segmentation: Requires 2.5+ models
- Object Detection: Requires 2.0+ models
- Multi-video: Requires 2.5+ models
- Image Generation: Requires flash-image model
Context Windows
- 2M tokens: ~6 hours video (low-res) or ~2 hours (default)
- 1M tokens: ~3 hours video (low-res) or ~1 hour (default)
- Audio: 32 tokens/second (1 min = 1,920 tokens)
- PDF: 258 tokens/page (fixed)
- Image: 258-1,548 tokens based on size
Quick Start
Prerequisites
API Key Setup: Supports both Google AI Studio and Vertex AI.
The skill checks for GEMINI_API_KEY in this order:
- Process environment:
export GEMINI_API_KEY="your-key" - Project root:
.env .claude/.env.claude/skills/.env.claude/skills/ai-multimodal/.env
Get API key: https://aistudio.google.com/apikey
For Vertex AI:
export GEMINI_USE_VERTEX=true
export VERTEX_PROJECT_ID=your-gcp-project-id
export VERTEX_LOCATION=us-central1 # Optional
Install SDK (auto-managed via venv):
# The wrapper script auto-creates and manages a virtual environment
# No manual installation needed - just run the scripts via run.sh
Common Patterns
Use the wrapper script scripts/run.sh which auto-manages the venv:
Transcribe Audio:
./scripts/run.sh gemini_batch_process.py \
--files audio.mp3 \
--task transcribe \
--model gemini-2.5-flash
Analyze Image:
./scripts/run.sh gemini_batch_process.py \
--files image.jpg \
--task analyze \
--prompt "Describe this image" \
--output docs/assets/<output-name>.md \
--model gemini-2.5-flash
Process Video:
./scripts/run.sh gemini_batch_process.py \
--files video.mp4 \
--task analyze \
--prompt "Summarize key points with timestamps" \
--output docs/assets/<output-name>.md \
--model gemini-2.5-flash
Extract from PDF:
./scripts/run.sh gemini_batch_process.py \
--files document.pdf \
--task extract \
--prompt "Extract table data as JSON" \
--output docs/assets/<output-name>.md \
--format json
Generate Image:
./scripts/run.sh gemini_batch_process.py \
--task generate \
--prompt "A futuristic city at sunset" \
--output docs/assets/<output-file-name> \
--model gemini-2.5-flash-image \
--aspect-ratio 16:9
Generate Architecture Diagram (best with gemini-3-pro-image-preview):
./scripts/run.sh gemini_batch_process.py \
--task generate \
--prompt "Create an architecture diagram showing [system name] for developers.
Topic: [What to visualize]
Layout: Isometric view with clear layers
Visual Style: Flat vector art, modern tech aesthetic
Format: 16:9
Key Elements: [Component list with icons]
Text Labels: [Exact labels to include]
Color Coding: Blue=core, Green=data, Orange=external" \
--output docs/assets/architecture-diagram \
--model gemini-3-pro-image-preview \
--aspect-ratio 16:9
Tip: For best text label results, keep labels short (max 15 chars) and generate a legend backup.
Optimize Media:
# Prepare large video for processing
python scripts/media_optimizer.py \
--input large-video.mp4 \
--output docs/assets/<output-file-name> \
--target-size 100MB
# Batch optimize multiple files
python scripts/media_optimizer.py \
--input-dir ./videos \
--output-dir docs/assets/optimized \
--quality 85
Convert Documents to Markdown:
# Convert to PDF
python scripts/document_converter.py \
--input document.docx \
--output docs/assets/document.md
# Extract pages
python scripts/document_converter.py \
--input large.pdf \
--output docs/assets/chapter1.md \
--pages 1-20
Supported Formats
Audio
- WAV, MP3, AAC, FLAC, OGG Vorbis, AIFF
- Max 9.5 hours per request
- Auto-downsampled to 16 Kbps mono
Images
- PNG, JPEG, WEBP, HEIC, HEIF
- Max 3,600 images per request
- Resolution: ≤384px = 258 tokens, larger = tiled
Video
- MP4, MPEG, MOV, AVI, FLV, MPG, WebM, WMV, 3GPP
- Max 6 hours (low-res) or 2 hours (default)
- YouTube URLs supported (public only)
Documents
- PDF only for vision processing
- Max 1,000 pages
- TXT, HTML, Markdown supported (text-only)
Size Limits
- Inline: <20MB total request
- File API: 2GB per file, 20GB project quota
- Retention: 48 hours auto-delete
Reference Navigation
For detailed implementation guidance, see:
Audio Processing
references/audio-processing.md- Transcription, analysis, TTS- Timestamp handling and segment analysis
- Multi-speaker identification
- Non-speech audio analysis
- Text-to-speech generation
Image Understanding
references/vision-understanding.md- Captioning, detection, OCR- Object detection and localization
- Pixel-level segmentation
- Visual question answering
- Multi-image comparison
Video Analysis
references/video-analysis.md- Scene detection, temporal understanding- YouTube URL processing
- Timestamp-based queries
- Video clipping and FPS control
- Long video optimization
Document Extraction
references/document-extraction.md- PDF processing, structured output- Table and form extraction
- Chart and diagram analysis
- JSON schema validation
- Multi-page handling
Image Generation
references/image-generation.md- Text-to-image, editing- Prompt engineering strategies
- Image editing and composition
- Aspect ratio selection
- Safety settings
Cost Optimization
Token Costs
Input Pricing:
- Gemini 2.5 Flash: $1.00/1M input, $0.10/1M output
- Gemini 2.5 Pro: $3.00/1M input, $12.00/1M output
- Gemini 1.5 Flash: $0.70/1M input, $0.175/1M output
Token Rates:
- Audio: 32 tokens/second (1 min = 1,920 tokens)
- Video: ~300 tokens/second (default) or ~100 (low-res)
- PDF: 258 tokens/page (fixed)
- Image: 258-1,548 tokens based on size
TTS Pricing:
- Flash TTS: $10/1M tokens
- Pro TTS: $20/1M tokens
Best Practices
- Use
gemini-2.5-flashfor most tasks (best price/performance) - Use File API for files >20MB or repeated queries
- Optimize media before upload (see
media_optimizer.py) - Process specific segments instead of full videos
- Use lower FPS for static content
- Implement context caching for repeated queries
- Batch process multiple files in parallel
Rate Limits
Free Tier:
- 10-15 RPM (requests per minute)
- 1M-4M TPM (tokens per minute)
- 1,500 RPD (requests per day)
YouTube Limits:
- Free tier: 8 hours/day
- Paid tier: No length limits
- Public videos only
Storage Limits:
- 20GB per project
- 2GB per file
- 48-hour retention
Error Handling
Common errors and solutions:
- 400: Invalid format/size - validate before upload
- 401: Invalid API key - check configuration
- 403: Permission denied - verify API key restrictions
- 404: File not found - ensure file uploaded and active
- 429: Rate limit exceeded - implement exponential backoff
- 500: Server error - retry with backoff
Scripts Overview
All scripts support unified API key detection and error handling:
gemini_batch_process.py: Batch process multiple media files
- Supports all modalities (audio, image, video, PDF)
- Progress tracking and error recovery
- Output formats: JSON, Markdown, CSV
- Rate limiting and retry logic
- Dry-run mode
media_optimizer.py: Prepare media for Gemini API
- Compress videos/audio for size limits
- Resize images appropriately
- Split long videos into chunks
- Format conversion
- Quality vs size optimization
document_converter.py: Convert documents to PDF
- Convert DOCX, XLSX, PPTX to PDF
- Extract page ranges
- Optimize PDFs for Gemini
- Extract images from PDFs
- Batch conversion support
Run any script with --help for detailed usage.
Resources
- Audio API Docs
- Image API Docs
- Video API Docs
- Document API Docs
- Image Gen Docs
- Get API Key
- Pricing
Related Skills
devattom/wiki-health-check
development
VerifiedTrustedCommunity
Use when you want to audit a project wiki for quality issues — stale version claims, contradictions between pages, orphan pages, broken wiki links, missing cross-references, or misalignment between wiki content and the actual codebase state.
SKILL.mdUpdated Apr 24, 2026
devattom/debug
development
VerifiedTrustedCommunity
Systematic error debugging with analysis, solution discovery, and verification
SKILL.mdUpdated Apr 4, 2026
devattom/workflow-debate
development
VerifiedTrustedCommunity
Structured adversarial debate between AI councillors using Agent Teams to evaluate ideas, plans, or decisions. ALWAYS use when the user says "council", "debate this", "evaluate this idea", "challenge my plan", "stress-test", "devil's advocate", "multiple perspectives", "évaluer cette idée", "débattre", "challenger mon plan", "tester cette décision", or when the user wants rigorous multi-perspective analysis of a proposal, architecture decision, or strategic choice. Each councillor (visionary, critic, pragmatist, innovator, ethicist, domain expert) represents a distinct perspective and they challenge each other through cross-examination and peer exchange, producing a nuanced verdict (PROCEED / PROCEED WITH CONDITIONS / RECONSIDER / DO NOT PROCEED). Do NOT use for divergent brainstorming or idea generation — use workflow-brainstorm instead.
SKILL.mdUpdated Apr 4, 2026
devattom/ci-fixer
testing
VerifiedTrustedCommunity
Automated CI/CD pipeline fixer - watches CI, fixes errors locally, commits, and loops until green. Use when CI is failing and you want to automatically fix and verify changes.
SKILL.mdUpdated Apr 4, 2026