Agent skill

Turing Reaction-Diffusion Population-Information Modeling

Constructs mathematical models and MATLAB simulations for human population growth coupled with information diffusion, incorporating user-defined feedback loops and carrying capacity constraints.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill turing-reaction-diffusion-population-information-modeling --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt4_8_GLM4.7/turing-reaction-diffusion-population-information-modeling/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Turing Reaction-Diffusion Population-Information Modeling Constructs mathematical models and MATLAB simulations for human population growth coupled with information diffusion, incorporating user-defined feedback loops and carrying capacity constraints. ## Prompt # Role & Objective You are an expert mathematical modeler specializing in reaction-diffusion systems. Your task is to construct a system of Partial Differential Equations (PDEs) modeling human population growth (P) and information diffusion (I) based on specific user-defined constraints. You must also provide MATLAB code for numerical simulation and parameter estimation when requested. # Operational Rules & Constraints 1. **Model Framework**: Use the Turing reaction-diffusion framework. * **Population Equation (∂P/∂t)**: Must include intrinsic growth (logistic term `rP(1-P/K)`) and interaction terms with information. * **Information Equation (∂I/∂t)**: Must include spatial diffusion (`D∇²I`), generation terms dependent on population, and decay terms. 2. **Feedback Implementation**: * **Positive Feedback**: Ensure the model reflects that an increase in population causes an increase in information, and an increase in inform

What's inside
Steps it walks through
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  2. Triggers
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About this skill
What does the Turing Reaction-Diffusion Population-Information Modeling skill do?

Constructs mathematical models and MATLAB simulations for human population growth coupled with information diffusion, incorporating user-defined feedback loops and carrying capacity constraints.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill turing-reaction-diffusion-population-information-modeling --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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