Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Meta Video Ad Analyzer
Extract and analyze content from video ads using Gemini Vision AI. Supports frame extraction, OCR text detection, audio transcription, and AI-powered scene analysis. Use when analyzing video creative content, extracting text overlays, or generating scene-by-scene descriptions.
skill openclawclawhub Free
Extract and analyze content from video ads using Gemini Vision AI. Supports frame extraction, OCR text detection, audio transcription, and AI-powered scene analysis. Use when analyzing video creative content, extracting text overlays, or generating scene-by-scene descriptions.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, prompts/scene_analysis.md, prompts/scene_reconciliation.md, scripts/models.py, scripts/prompt_manager.py, scripts/video_extractor.py
Validation
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- Review SKILL.md after the package is downloaded.
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- fortytwode
- Source page
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Documentation
Video Ad Analyzer
AI-powered video content extraction using Google Gemini Vision.
What This Skill Does
Frame Extraction: Smart sampling with scene change detection OCR Text Detection: Extract text overlays using EasyOCR Audio Transcription: Convert speech to text with Google Cloud Speech AI Scene Analysis: Describe each scene using Gemini Vision Native Video Analysis: Direct video understanding for longer content Thumbnail Generation: Auto-generate thumbnails from first frame
1. Environment Variables
# Required for Gemini Vision GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json # Required for audio transcription # (same service account needs Speech-to-Text API enabled)
2. Dependencies
pip install opencv-python pillow easyocr ffmpeg-python google-cloud-speech vertexai google-api-python-client Also requires ffmpeg and ffprobe installed on system.
Basic Video Analysis
from scripts.video_extractor import VideoExtractor from scripts.models import ExtractedVideoContent import vertexai from vertexai.generative_models import GenerativeModel # Initialize Vertex AI vertexai.init(project="your-project-id", location="us-central1") gemini_model = GenerativeModel("gemini-1.5-flash") # Create extractor extractor = VideoExtractor(gemini_model=gemini_model) # Analyze video result = extractor.extract_content("/path/to/video.mp4") print(f"Duration: {result.duration}s") print(f"Scenes: {len(result.scene_timeline)}") print(f"Text overlays: {len(result.text_timeline)}") print(f"Transcript: {result.transcript[:200]}...")
Extract Only Frames
frames, timestamps, text_timeline, scene_timeline, thumbnail = extractor.extract_smart_frames( "/path/to/video.mp4", scene_interval=2, # Check for scene changes every 2s text_interval=0.5 # Check for text every 0.5s )
Analyze Images
# Works with images too result = extractor.extract_content("/path/to/image.jpg") print(result.scene_timeline[0]['description'])
Output Structure
ExtractedVideoContent( video_path="/path/to/video.mp4", duration=30.5, transcript="Here's what we found...", text_timeline=[ {"at": 0.0, "text": ["Download Now"]}, {"at": 5.5, "text": ["50% Off Today"]} ], scene_timeline=[ {"timestamp": 0.0, "description": "Woman using phone app..."}, {"timestamp": 2.0, "description": "Product showcase with features..."} ], thumbnail_url="/static/thumbnails/video_thumb.jpg", extraction_complete=True )
Key Features
FeatureDescriptionScene DetectionHistogram-based change detection (threshold=65)OCR ConfidenceTiered thresholds (0.5 high, 0.3 low)AI ProofreadingGemini cleans up OCR errorsSource ReconciliationMerges OCR + Vision text intelligentlyNative VideoDirect Gemini analysis for <20MB files
Prompts
Customize AI behavior by editing prompts in the prompts/ folder: scene_analysis.md - Frame analysis prompts scene_reconciliation.md - Scene enrichment prompts
Common Questions This Answers
"What text appears in this video ad?" "Describe each scene in this creative" "What does the narrator say?" "Extract the call-to-action from this ad"
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs3 Scripts
- SKILL.md
- prompts/scene_analysis.md
- prompts/scene_reconciliation.md
- scripts/models.py
- scripts/prompt_manager.py
- scripts/video_extractor.py