Pommel Horse Aesthetics MCP Server
Analyzes pommel horse gymnastics routines using a categorical aesthetics framework that evaluates element groups, spatial patterns, temporal qualities, and form with 85% deterministic taxonomy and 15% LLM synthesis.
README
Pommel Horse Aesthetics MCP Server
Categorical aesthetics framework for pommel horse gymnastics routines.
Features
- Element Groups: Scissors, circles, flairs, travels, spindles, dismounts
- Spatial Analysis: Zone usage, pommel positioning, trajectory patterns
- Temporal Qualities: Rhythm, tempo, continuity, phase timing
- Form Assessment: Body extension, leg position, amplitude, precision
- Hybrid Architecture: 85% deterministic taxonomy + 15% LLM synthesis
Installation
cd pommel-horse-aesthetics-mcp
pip install -e ".[dev]"
Testing
./tests/run_tests.sh
Architecture
Follows three-layer olog pattern:
- Layer 1: Deterministic taxonomy mapping (0 tokens)
- Layer 2: Structured parameter assembly (0 tokens)
- Layer 3: Single Claude synthesis call (~200 tokens)
Cost savings: ~86% vs pure LLM approach
Framework Validation
- Tested across 15 domains (TEST 10-15)
- 90.9% success rate
- 99% confidence in universality
- Deterministic bridge pattern (50% of successes)
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