Personal Agent Habit Elasticity Tracker
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
genpark-personal-agent-habit-elasticity-tracker-skill
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_serverLicense
MIT
This server cannot be deployed
Maintenance
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