Search

PythonReactSEOPDF

feniix AI Skills

GitHub ↗

Browse published AI skills maintained by feniix. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

7

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

biomechanics-validation

feniix

Validates jump metrics against physiological norms. Use when analyzing CMJ or drop jump results, discussing RSI values, jump heights, ground contact times, or when metrics seem unusual.

GitHub

mediapipe-pose-detection

feniix

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 m...

GitHub

video-analysis-workflow

feniix

Guides video analysis for CMJ and drop jump. Use when processing athlete videos, debugging pose detection, troubleshooting analysis failures, or running kinemotion CLI commands.

GitHub

mediapipe-pose-detection

feniix

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 m...

GitHub

kinemotion-development

feniix

Apply kinemotion development standards. Use when writing Python code, creating tests, modifying the kinemotion codebase, or reviewing code quality.

GitHub

video-analysis-workflow

feniix

Guides video analysis for CMJ and drop jump. Use when processing athlete videos, debugging pose detection, troubleshooting analysis failures, or running kinemotion CLI commands.

GitHub

kinemotion-development

feniix

Apply kinemotion development standards. Use when writing Python code, creating tests, modifying the kinemotion codebase, or reviewing code quality.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.