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alphaparkinc

Personal Agent Habit Elasticity Tracker MCP Server

by alphaparkinc
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Python
Remote

genpark-personal-agent-habit-elasticity-tracker-skill

Tests License Python Dependencies Coverage

GenPark Personal Agent Habit Elasticity Tracker implements Phillippa Lally's habit automaticity curves and behavioral friction elasticity to build unshakeable personal routines.

flowchart TD
    A[Habit Practice Days & Consistency] --> B[Lally Automaticity Kinetic Solver]
    B --> C[Automaticity Score & Second-Nature Plateau Date]
    D[Friction Barrier Interventions] --> E[Behavioral Price Elasticity Estimator]
    F[User Current Energy State] --> G[Minimum Viable Micro-Habit Deriver]
    C & G --> H[Continuous Unbroken Identity Streak]

Features

  • Lally Automaticity Curve: Forecasts days until a habit becomes effortless based on complexity tier.

  • Friction Elasticity Metric: Quantifies how friction reductions directly multiply completion rates.

  • Streak Preserver Downscaling: Protects habits on exhausting days with scientifically scaled micro-doses.

Related MCP server: genpark-personal-habit-streak-anti-fragility-skill

Quickstart

from client import PersonalAgentHabitElasticityTracker

tracker = PersonalAgentHabitElasticityTracker()
res = tracker.model_habit_automaticity_curve(45, 0.90)
print("Automaticity Level:", res["automaticity_score"])

FastMCP Integration

python -m genpark-personal-agent-habit-elasticity-tracker-skill.mcp_server

License

MIT

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Resources

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