genpark-personal-agent-glycemic-load-macro-balancer-skill
GenPark Personal Agent Glycemic Load Macro Balancer computes composite glycemic impact, models protein and fat gastric attenuation, and forecasts post-prandial mental stamina without external dependencies.
flowchart TD
A[Meal Ingredients, Carbs & GI] --> B[Composite Glycemic Load Calculator]
C[Protein & Healthy Fat Amounts] --> D[Gastric Emptying Buffering Index]
B & D --> E[Effective Attenuated Glycemic Load]
E --> F[Post-Prandial Brain Fog & Crash Probability]
F --> G[Cognitive Focus Hours & Task Scheduling Advice]
Features
- Composite Glycemic Load: Aggregates glycemic index and carbohydrate mass across complex multi-ingredient meals.
- Macronutrient Damping: Models how amino acids and lipids flatten glycemic glucose spikes.
- Cognitive Crash Forecaster: Estimates post-lunch fatigue probability and stable working hours.
Quickstart
from client import PersonalAgentGlycemicMacroBalancer
balancer = PersonalAgentGlycemicMacroBalancer()
res = balancer.recommend_macronutrient_stabilizer(40.0)
print("Recommended Protein:", res["recommended_protein_addition_g"], "g")
FastMCP Integration
python -m genpark-personal-agent-glycemic-load-macro-balancer-skill.mcp_server
License
MIT