Mediapipe Pose Detection
Detects human body keypoints from images/video using Mediapipe, enabling applications like motion tracking and gesture recognition.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add mediapipe-pose-detection npx -- -y @trustedskills/mediapipe-pose-detection
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"mediapipe-pose-detection": {
"command": "npx",
"args": [
"-y",
"@trustedskills/mediapipe-pose-detection"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill utilizes MediaPipe to detect human poses in images and videos. It identifies 33 key body landmarks, providing x and y coordinates for each point. The output can be used for various applications like fitness tracking, animation, or creating interactive experiences based on user movement.
When to use it
- Fitness Tracking: Analyze a video of someone exercising and provide feedback on their form.
- Animation Control: Use the pose data to control an animated character in real-time based on a person's movements.
- Interactive Games: Create games where player actions are determined by their body poses.
- Virtual Try-On: Overlay clothing or accessories onto a user’s image/video based on detected pose landmarks.
Key capabilities
- 33 Landmark Pose Detection
- Real-time processing of images and videos
- Provides x, y coordinates for each landmark
- Utilizes MediaPipe library
Example prompts
- "Detect the pose in this video."
- "Give me the coordinates of the left elbow in this image."
- "Analyze my squat form from this video clip."
Tips & gotchas
- Requires a clear view of the person being analyzed for accurate landmark detection.
- Performance may vary depending on processing power and video resolution.
Tags
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