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

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  • License — License: MIT
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SUMMARY

Personal Agent Habit Elasticity Tracker - Zero-dependency Lally habit automaticity kinetics modeler, behavioral friction price elasticity analyzer, and minimum viable micro-habit scaling engine.

README.md

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.

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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