GIF Analyzer
Analyze animated GIFs by extracting frames and interpreting them as sequential video.
Quick Start
When the user uses /gif:
Pattern 1: Basic analysis
/gif ./animation.gifPattern 2: With specific request
/gif ./animation.gif describe what happens step by step
/gif ./demo.gif what is the character doing?
/gif ./screen.gif summarize this screen recordingWorkflow
Step 1: Parse User Input
Extract from the user's message:
- GIF path: The file path immediately after
/gif - User request (optional): Any text after the GIF path
Example parsing:
- Input:
/gif./demo.gif explain the animation - GIF path:
./demo.gif - User request:
explain the animation
Step 2: Extract Frames
python3 ~/.claude/skills/gif-analyzer/extract_gif_frames.py <gif_path> --output-dir /tmp/gif_frames_analysisOptions for long GIFs:
python3 ~/.claude/skills/gif-analyzer/extract_gif_frames.py <gif_path> --max-frames 30 --skip 2Step 3: Read Metadata
Check gif_metadata.json for:
- Total frames and duration
- Individual frame timestamps
- Resolution and loop information
Step 4: View and Analyze Frames
View frames in order: frame_001.png, frame_002.png, etc.
CRITICAL: Treat frames as a continuous video sequence:
- Frame 001 = START of the animation
- Frame numbers increase in TIME ORDER
- Consecutive frames show MOTION/CHANGE over time
Step 5: Respond to User
If user provided a specific request, focus on answering that. Otherwise, provide a general analysis of the GIF content.
Script Options
| Option | Description | Default |
|---|---|---|
--output-dir, -o | Output directory | ./gif_frames_<timestamp> |
--max-frames, -m | Max frames to extract | 50 |
--skip, -s | Extract every Nth frame | 1 (all frames) |
Frame Analysis Guidelines
- Temporal Awareness: Frame 001 is the beginning
- Motion Detection: Compare adjacent frames to identify movement
- Key Frames: Identify significant moments (start, middle, end)
- Loop Points: Note if the animation appears to loop
- Duration Context: Use timestamp info to understand pacing
Output Format
📹 **GIF Analysis: [filename]**
**Overview:**
[1-2 sentence summary]
**Timeline:**
- [0.0s - 0.5s] Frame 1-5: [Description]
- [0.5s - 1.0s] Frame 6-10: [Description]
...
**[Answer to user's specific question if provided]**Troubleshooting
- Pillow not found:
pip install Pillow - Too many frames: Use
--skip 2or higher - Large output: Use
--max-frames 20