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Personal Agent Glycemic Load Macro Balancer

by Alpha-Park
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Python
Remote

genpark-personal-agent-glycemic-load-macro-balancer-skill

Tests License Python Dependencies Coverage

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.

Related MCP server: genpark-personal-sleep-recovery-chronotype-coach-skill

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

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Maintenance

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Resources

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