Video Review
Review videos by extracting frames and analyzing them visually.
Workflow
Step 1: Extract frames
python3 ~/.claude/skills/review-video/scripts/extract_frames.py <video_path> --smart -n 10 --cleanup
Step 2: Read ALL frames in parallel
Read every frame path from output using Read tool. Parallel reads for speed.
Step 3: Cleanup temp files
Run the cleanup command printed at the end (if --cleanup was used).
Step 4: Provide structured review
## Video Review: [filename]
**Metadata**: [resolution] | [duration] | [fps] fps | [codec]
### Overall Assessment
[1-2 sentences]
### Frame-by-Frame Notes
- > [0:00] Opening: [observation]
- o [0:05] [observation]
- * [0:10] Scene change: [observation]
- = [0:15] Closing: [observation]
### Issues Found
- [ ] Issue at [timestamp]: [description]
### Verdict
[PASS / NEEDS FIXES / FAIL] - [reason]
Options
| Flag | Description |
|---|---|
-n NUM |
Number of frames (default: 10) |
--smart |
Use scene detection (recommended) |
--threshold FLOAT |
Scene sensitivity 0.0-1.0 (default: 0.1, lower=more sensitive) |
--cleanup |
Print cleanup command for temp files |
--json |
Output as JSON |
-o DIR |
Custom output directory |
-q NUM |
JPEG quality 1-31 (default: 2, lower=better) |
Frame Source Icons
| Icon | Meaning |
|---|---|
| > | Start of video |
| = | End of video |
| * | Scene change detected |
| o | Evenly-spaced filler |
Frame Count Guidelines
| Use Case | Command |
|---|---|
| Quick check | -n 5 |
| Standard | -n 10 --smart |
| Animation | -n 20 --smart --threshold 0.05 |
| Debug | -n 30 --smart |