Individual skill
evo-video-frame-extraction
Extract and encode sampled frames from video files for vision AI analysis. Use when you need to process surveillance or other video files by extracting frames at regular intervals, converting them to base64-encoded JPEG images suitable for sending to vision LLM APIs. Handles video file discovery, temporal sampling, MoviePy 2.x resource management, and memory-safe batch processing.
tasks-evolved/pedestrian-traffic-counting/environment/skills/evo-video-frame-extraction/SKILL.md
Source commit 84ca182da055fafb6453dcec4a6defdbbfd987c1
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- Matches the observed repository HEAD
- Yes
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- Yes
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- No
- Observed behavior
- Local scripts
- Last checked
- Nov 6, 2026
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- Repository stars (not skill ratings)
- 97
- Repository last updated
- Sep 10, 2026
- License
- Apache-2.0
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- agent-skills Repository topic
- ai-agents Repository topic
- llm-agents Repository topic
- open-world Repository topic
- self-evolving-agents Repository topic
- operations Derived category
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SKILL.mdcore · 2,796 bytesSKILL.mdcore · 2,796 bytesscripts/__init__.pyruns · 37 bytesscripts/frame_extraction.pyruns · 6,590 bytes
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# Video Frame Extraction
Extracts sampled frames from video files using MoviePy 2.x and encodes them as base64 JPEG strings for downstream vision API consumption.
## When to Use
- Processing surveillance footage for AI analysis
- Extracting representative frames from video files at configurable intervals
- Preparing video frames for vision LLM APIs (OpenAI, Gemini, etc.)
- Batch processing multiple video files in a directory
## Core Functions
The skill provides these functions in `scripts/frame_extraction.py`: