video-analysis-workflow
Guides video analysis for CMJ and drop jump. Use when processing athlete videos, debugging pose detection, troubleshooting analysis failures, or running kinemotion CLI commands.
npx skills add majiayu000/claude-skill-registry --skill video-analysis-workflow --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Video Analysis Workflow ## Analysis Commands ```bash # CMJ analysis uv run kinemotion cmj-analyze <video> [--output debug.mp4] # Drop Jump analysis uv run kinemotion dropjump-analyze <video> [--output debug.mp4] # Batch processing uv run kinemotion cmj-analyze videos/*.mp4 --batch --workers 4 ``` ## Quality Presets | Preset | Use Case | Trade-off | | ---------- | ---------------------------- | --------------------- | | `fast` | Quick preview, large batches | Lower accuracy | | `balanced` | Default, most use cases | Good accuracy/speed | | `accurate` | Validation, research | Best accuracy, slower | ```bash uv run kinemotion cmj-analyze video.mp4 --quality accurate ``` ## Debug Output Always use `--output debug.mp4` when: - Metrics seem incorrect - Troubleshooting pose detection - Validating new videos - Training coaches on video quality The debug video shows: - Skeleton overlay with joint angles - Phase markers (takeoff, landing, peak) - Real-time metrics display ## Camera Angle Recommendations | Angle | Recommendation | Reason | | --------------- | --------------- | ---------------------------------------------- | | **45° oblique** | Recommended | Both legs clearly visible, accur
- Analysis Commands
- Quality Presets
- Debug Output
- Camera Angle Recommendations
- Troubleshooting
- No Takeoff Detected
- Invalid Metrics
- Jittery Landmarks
- Rotation Issues (Mobile Videos)
- Video Requirements
- Output Metrics
- CMJ Metrics
- Drop Jump Metrics
- Python API Alternative
CMJ analysis uv run kinemotion cmj-analyze <video> [--output debug.mp4] Drop Jump analysis uv run kinemotion dropjump-analyze <video> [--output debug.mp4] Batch processing uv run kinemotion cmj-analyze videos/*.mp4 --batch --workers 4 uv run kinemotion cmj-analyze video.mp4 --quality accurate
What does the video-analysis-workflow skill do?
Guides video analysis for CMJ and drop jump. Use when processing athlete videos, debugging pose detection, troubleshooting analysis failures, or running kinemotion CLI commands.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill video-analysis-workflow --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.