szoloth/video-analyzer
skills/video-analyzer/SKILL.md
Extract frames, audio, and transcripts from video files and generate a manifest for AI analysis. Use when the user mentions video analysis, mp4/mov files, screen recordings, interview recordings, transcription, or needs to make large videos manageable for Claude/Gemini.
data-ai
Updated Apr 15, 2026
$ install --global
skillsauthnpx skillsauth add szoloth/skills video-analyzerInstall 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 15, 2026, 3:13 AM59.5s2 files scanned
SKILL.md
- name:
- video-analyzer
- description:
- Extract frames, audio, and transcripts from video files and generate a manifest for AI analysis. Use when the user mentions video analysis, mp4/mov files, screen recordings, interview recordings, transcription, or needs to make large videos manageable for Claude/Gemini.
Video Analyzer
Quick Start
Run the global script:
python3 ~/.claude/skills/video-analyzer/scripts/prep_video_for_analysis.py "/path/to/video.mp4" --output "/path/to/output" --interval 5
Defaults:
- Frame interval: 3s
- Output:
./video_analysis - Frame width: 1280px
Common Commands
Full analysis (frames + transcript):
python3 ~/.claude/skills/video-analyzer/scripts/prep_video_for_analysis.py "video.mp4" --output "./analysis" --interval 5
Frames only:
python3 ~/.claude/skills/video-analyzer/scripts/prep_video_for_analysis.py "video.mp4" --output "./analysis" --skip-transcript
Transcript only:
python3 ~/.claude/skills/video-analyzer/scripts/prep_video_for_analysis.py "video.mp4" --output "./analysis" --skip-frames
Force transcription backend:
python3 ~/.claude/skills/video-analyzer/scripts/prep_video_for_analysis.py "video.mp4" --output "./analysis" --transcribe-backend local
python3 ~/.claude/skills/video-analyzer/scripts/prep_video_for_analysis.py "video.mp4" --output "./analysis" --transcribe-backend groq
Output Structure
output/
├── transcript.md # Timestamped transcript
├── manifest.md # Frames linked to transcript text
├── frames/ # JPEG frames
└── audio.mp3 # Extracted audio
Transcription Backends
auto(default): Use local Whisper if installed, otherwise Groq APIlocal: Requiresmlx-whisper(recommended on Apple Silicon)groq: RequiresGROQ_API_KEYenvironment variable
Requirements
ffmpeginstalled- Python 3
pip install pillow- Optional:
pip install groq(for Groq API)pip install mlx-whisper(local transcription)
Workflow
- Confirm video path and output directory
- Choose frame interval (3-5s is ideal for screen recordings)
- Run the script
- Use
manifest.mdas the main index for analysis
Notes
- Use shorter intervals for fast UI changes
- Use longer intervals (8-10s) for talking-head interviews
manifest.mdis the best artifact to feed into Claude/Gemini
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