name	epigrass-creator
description	Create Epigrass epidemiological models through step-by-step guided specification. Build metapopulation models (SIR, SEIR, SEIS, SIS, SI) with geographic networks. Supports GeoPackage import for real-world spatial data.
version	1.1.1
metadata	{"openclaw":{"requires":{"env":[]},"primaryEnv":null,"bins":["python3"],"skillKey":"epigrass-creator","emoji":"🦠","homepage":"https://github.com/fccoelho/epigrass"}}

Epigrass Creator Skill

Create epidemiological metapopulation models using Epigrass through an interactive, step-by-step wizard.

What is Epigrass?

Epigrass (Epidemiological Geo-referenced Analysis and Simulation System) is a Python library for simulating disease spread across geographic networks.

Supported Models

Model	Compartments	Use Case
SIR	S, I, R	Diseases with lifelong immunity
SEIR	S, E, I, R	Diseases with latent period
SEIS	S, E, I	Diseases with temporary immunity
SIS	S, I	Diseases with no immunity
SI	S, I	Fatal diseases
Custom	User-defined	Specialized scenarios

Workflow (5 Steps)

Model Selection - Choose model type
Site Definition - Define geographic locations (manual, grid, cities, or GeoPackage import)
Parameters - Configure epidemiological parameters
Network - Define connections between sites
Simulation - Set simulation settings and generate files

GeoPackage Support

Import sites directly from GeoPackage (.gpkg) files:

Supports any geospatial vector data
Automatic coordinate extraction
Column mapping for name, population, geocode
Works with municipal boundaries, health regions, etc.

Requirements: pip install geopandas (or fiona as fallback)

Usage Examples

User: Create a dengue model for Brazilian cities
→ Wizard guides through SEIR selection, city list, parameters

User: Build SIR model with 10x10 grid
→ Wizard creates synthetic network

User: Custom model with hospitalization
→ Wizard collects compartments and transitions

Output

model.epg - Epigrass script
sites.csv - Site/node data
edges.csv - Edge/connection data
model_spec.json - Full specification

Requirements

Python 3.8+
epigrass (pip install epigrass)

Epigrass Creator Skill

Create epidemiological metapopulation models using Epigrass through an interactive, step-by-step wizard.

What is Epigrass?

Epigrass (Epidemiological Geo-referenced Analysis and Simulation System) is a Python library for simulating disease spread across geographic networks.

Supported Models

Model

Compartments

Use Case

SIR

S, I, R

Diseases with lifelong immunity

SEIR

S, E, I, R

Diseases with latent period

SEIS

S, E, I

Diseases with temporary immunity

SIS

S, I

Diseases with no immunity

S, I

Fatal diseases

Custom

User-defined

Specialized scenarios

Workflow (5 Steps)

Model Selection - Choose model type

Site Definition - Define geographic locations (manual, grid, cities, or GeoPackage import)

Parameters - Configure epidemiological parameters

Network - Define connections between sites

Simulation - Set simulation settings and generate files

GeoPackage Support

Import sites directly from GeoPackage (.gpkg) files:

Supports any geospatial vector data

Automatic coordinate extraction

Column mapping for name, population, geocode

Works with municipal boundaries, health regions, etc.

Requirements: pip install geopandas (or fiona as fallback)

Usage Examples

User: Create a dengue model for Brazilian cities → Wizard guides through SEIR selection, city list, parameters User: Build SIR model with 10x10 grid → Wizard creates synthetic network User: Custom model with hospitalization → Wizard collects compartments and transitions

Output

model.epg - Epigrass script

sites.csv - Site/node data

edges.csv - Edge/connection data

model_spec.json - Full specification

Requirements

Python 3.8+

epigrass (pip install epigrass)

epigrass-creator