# Kinemotion GitHub Project Setup Summary

## Project Overview

- **Project ID**: 2
- **Project Name**: Kinemotion Development
- **Repository**: feniix/kinemotion
- **GitHub URL**: https://github.com/users/feniix/projects/2

## Created Milestones (3 Total)

### 1. Q1 2025: Core Stability

**Focus**: Ensure Drop Jump and CMJ analysis are rock-solid with comprehensive testing and edge case coverage
**Issues**: Testing & Quality domain

### 2. Q1 2025: Documentation & Education

**Focus**: Create comprehensive guides for biomechanics, API usage, and contribution patterns
**Issues**: Documentation domain

### 3. Q2 2025: Performance & Optimization

**Focus**: Optimize video processing, pose detection accuracy, and algorithm efficiency
**Issues**: Performance, Pose Detection, CI/CD domains

## Issues Created (12 Total)

### Testing & Quality (4 issues)

1. **Test Coverage: Drop Jump Edge Cases**

   - Scope: Low boxes, high velocities, rapid jumps, partial captures, angle variations
   - Complexity: 2-3 | Effort: 3 SP
   - Coverage Impact: Medium (+2-5%)
   - Agent: qa-test-engineer

1. **Test Coverage: CMJ Edge Cases**

   - Scope: Low countermovement, explosive takeoff, incomplete phases, rotation metadata, asymmetric positions
   - Complexity: 3 | Effort: 5 SP
   - Coverage Impact: High (+5-10%, target: 70% from 62.27%)
   - Agent: qa-test-engineer, computer-vision-engineer

1. **Metrics Validation: Establish Physiological Bounds**

   - Scope: RSI, jump height, contact time, flight time, countermovement depth
   - Complexity: 3 | Effort: 5 SP
   - Coverage Impact: Medium
   - Agent: biomechanics-specialist, qa-test-engineer
   - Deliverables: Validation bounds config, test fixtures, documentation

1. **Reduce Code Duplication to \<2.5%**

   - Current: 2.96% | Target: \<2.5%
   - Focus: Debug overlays, phase detection, velocity calculation, parameter tuning
   - Complexity: 3 | Effort: 5 SP
   - Coverage Impact: Low
   - Agent: python-backend-developer

### Documentation & Education (3 issues)

5. **Create CMJ Biomechanics Guide**

   - Content: Fundamentals, triple extension, physics/validation, common issues
   - Complexity: 2 | Effort: 3 SP
   - Agent: technical-writer, biomechanics-specialist
   - Milestone: Q1 2025: Documentation & Education

1. **Create API Reference & Quick Start Guide**

   - Sections: Quick start, Python API reference, CLI reference, quality presets, troubleshooting
   - Complexity: 2 | Effort: 3 SP
   - Agent: technical-writer, python-backend-developer
   - Milestone: Q1 2025: Documentation & Education

1. **Create Contribution Guidelines & Testing Patterns**

   - Content: Development setup, code style, testing, quality checks, PR submission, test patterns reference
   - Complexity: 2 | Effort: 3 SP
   - Agent: technical-writer, qa-test-engineer
   - Milestone: Q1 2025: Documentation & Education

### Technical Improvements - Phase 1 (3 issues)

8. **Improve Pose Detection: Occlusion Handling**

   - Scenarios: Arm occlusion, lighting changes, partial visibility, clothing, motion blur
   - Complexity: 3 | Effort: 5 SP
   - Agent: computer-vision-engineer, biomechanics-specialist
   - Milestone: Q2 2025: Performance & Optimization

1. **Optimize Video Processing Pipeline**

   - Targets: 30 FPS processing, \<500ms latency per frame
   - Areas: Frame reading, pose detection, smoothing, calculation
   - Complexity: 4 | Effort: 8 SP
   - Agent: python-backend-developer, ml-data-scientist
   - Milestone: Q2 2025: Performance & Optimization

1. **Expand CI/CD: Automated Quality Gates**

   - Gates: Coverage gates, performance benchmarks, breaking change detection, duplicate detection, type coverage
   - Complexity: 3 | Effort: 5 SP
   - Agent: devops-cicd-engineer
   - Milestone: Q2 2025: Performance & Optimization

### Future Enhancements (2 issues)

11. **Feature: Real-time Analysis Streaming**

    - Requirements: Live metrics, \<200ms latency, CLI/API support, optional debug overlay
    - Complexity: 4 | Effort: 13 SP
    - Blockers: Requires video processing optimization
    - Agent: python-backend-developer, computer-vision-engineer
    - Milestone: Q2 2025: Performance & Optimization

01. **Improve Batch Processing & Worker Management**

    - Improvements: Progress tracking, error handling, result management, performance, observability
    - Complexity: 3 | Effort: 5 SP
    - Agent: python-backend-developer
    - Milestone: Q2 2025: Performance & Optimization

## GitHub Labels Created (25 Total)

### Type Labels

- `type:test` - Test coverage and testing improvements
- `type:feature` - New feature
- `type:refactor` - Code refactoring
- `type:docs` - Documentation
- `type:enhancement` - Enhancement to existing feature
- `type:perf` - Performance improvement
- `type:ci-cd` - CI/CD infrastructure

### Priority Labels

- `priority:critical` - Blocks release
- `priority:high` - Important for roadmap
- `priority:medium` - Reasonable effort
- `priority:low` - Backlog/future

### Domain/Scope Labels

- `scope:testing` - Testing and quality
- `scope:drop-jump` - Drop jump feature
- `scope:cmj` - CMJ feature
- `scope:metrics` - Jump metrics
- `scope:pose-detection` - Pose detection
- `scope:performance` - Performance
- `scope:code-quality` - Code quality
- `scope:education` - User education/guides
- `scope:api` - Python API
- `scope:development` - Developer experience
- `scope:automation` - Automation/CI
- `scope:streaming` - Real-time streaming
- `scope:batch-processing` - Batch processing

## Custom Fields Configuration

Note: GitHub Project custom fields via API not yet available in this implementation. However, issues include the following metadata in descriptions:

- **Priority**: Critical, High, Medium, Low (embedded in labels)
- **Complexity**: 1-5 scale (embedded in issue descriptions)
- **Effort**: Story points 1-13 (embedded in issue descriptions)
- **Coverage Impact**: High/Medium/Low (embedded in issue descriptions)
- **Domain Area**: Testing, Documentation, Pose Detection, Performance, CI/CD, Architecture, API, Biomechanics
- **Assigned Agent**: Specialist agent recommendation (embedded in issue descriptions)

## Issue Distribution by Milestone

### Q1 2025: Core Stability (4 issues)

- Test Coverage: Drop Jump Edge Cases
- Test Coverage: CMJ Edge Cases
- Metrics Validation: Establish Physiological Bounds
- Reduce Code Duplication to \<2.5%

### Q1 2025: Documentation & Education (3 issues)

- Create CMJ Biomechanics Guide
- Create API Reference & Quick Start Guide
- Create Contribution Guidelines & Testing Patterns

### Q2 2025: Performance & Optimization (5 issues)

- Improve Pose Detection: Occlusion Handling
- Optimize Video Processing Pipeline
- Expand CI/CD: Automated Quality Gates
- Feature: Real-time Analysis Streaming
- Improve Batch Processing & Worker Management

## Distribution by Domain

| Domain         | Count | Issues                                      |
| -------------- | ----- | ------------------------------------------- |
| Testing        | 4     | Edge cases, metrics validation, duplication |
| Documentation  | 3     | Biomechanics, API, contribution guide       |
| Pose Detection | 1     | Occlusion handling                          |
| Performance    | 2     | Pipeline optimization, streaming            |
| CI/CD          | 1     | Quality gates                               |
| API            | 2     | Streaming, batch processing                 |
| Biomechanics   | 1     | Metrics validation                          |

## Recommended Sprint Planning

### Sprint 1 (Q1 Start): Foundation

1. CMJ Edge Cases (8 SP) - Unblocks testing
1. CMJ Biomechanics Guide (3 SP) - Education foundation
1. Metrics Validation (5 SP) - Domain knowledge

Subtotal: 16 SP

### Sprint 2 (Q1 Continuation): Quality

1. Drop Jump Edge Cases (3 SP) - Quick win
1. API Reference & Quick Start (3 SP) - User enablement
1. Contribution Guidelines (3 SP) - Developer enablement
1. Code Duplication Reduction (5 SP) - Technical debt

Subtotal: 14 SP

### Sprint 3 (Q2 Start): Performance

1. Pose Detection Occlusion (5 SP) - Quality improvement
1. Video Processing Optimization (8 SP) - Performance foundation
1. CI/CD Quality Gates (5 SP) - Automation

Subtotal: 18 SP

### Sprint 4+ (Q2 Continuation): Features

1. Real-time Streaming (13 SP) - Major feature
1. Batch Processing Improvements (5 SP) - Enhancement

## Quality Metrics Tracked

- **Test Coverage**: Current 74.27% → Maintain ≥74% (prefer increase)
- **Code Duplication**: Current 2.96% → Target \<2.5%
- **Type Errors**: Current 0 → Maintain at 0
- **Linting Errors**: Current 0 → Maintain at 0
- **All Tests Pass**: Current 261/261 → Maintain 100%

## Next Steps

1. Review issues and acceptance criteria
1. Assign issues to team members
1. Begin Sprint 1 with CMJ edge cases and metrics validation
1. Track progress toward quality metrics
1. Update custom fields manually via GitHub UI as needed
1. Use labels for filtering and tracking during sprints
