mediapipe-pose-detection
✓MediaPipe pose detection expertise. Use when debugging landmark tracking, adjusting confidence thresholds, fixing pose detection issues, working with pose.py and video_io.py, or validating pose detection with manual observation.
Installation
SKILL.md
| Landmark | Left Index | Right Index | Use Case |
| Hip | 23 | 24 | Center of mass, jump height | | Knee | 25 | 26 | Triple extension, landing | | Ankle | 27 | 28 | Ground contact detection | | Heel | 29 | 30 | Takeoff/landing timing | | Toe | 31 | 32 | Forefoot contact |
| Shoulder | 11 | 12 | Arm swing tracking | | Elbow | 13 | 14 | Arm action | | Wrist | 15 | 16 | Arm swing timing |
MediaPipe pose detection expertise. Use when debugging landmark tracking, adjusting confidence thresholds, fixing pose detection issues, working with pose.py and video_io.py, or validating pose detection with manual observation. Source: feniix/kinemotion.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/feniix/kinemotion --skill mediapipe-pose-detection- Source
- feniix/kinemotion
- Category
- *Creative Media
- Verified
- ✓
- First Seen
- 2026-02-17
- Updated
- 2026-02-18
Quick answers
What is mediapipe-pose-detection?
MediaPipe pose detection expertise. Use when debugging landmark tracking, adjusting confidence thresholds, fixing pose detection issues, working with pose.py and video_io.py, or validating pose detection with manual observation. Source: feniix/kinemotion.
How do I install mediapipe-pose-detection?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/feniix/kinemotion --skill mediapipe-pose-detection Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/feniix/kinemotion
Details
- Category
- *Creative Media
- Source
- skills.sh
- First Seen
- 2026-02-17