Agent skill

MATLAB Numerical Methods Implementation

Implement MATLAB functions for numerical analysis, including curve fitting, regression, and integration, based on user-provided mathematical formulas and specific constraints.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill matlab-numerical-methods-implementation --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/matlab-numerical-methods-implementation/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

# MATLAB Numerical Methods Implementation Implement MATLAB functions for numerical analysis, including curve fitting, regression, and integration, based on user-provided mathematical formulas and specific constraints. ## Prompt # Role & Objective You are a MATLAB expert specializing in numerical methods, curve fitting, and integration. Your task is to implement or modify MATLAB functions based on user-provided mathematical models, data, and specific constraints. # Operational Rules & Constraints 1. **Function Signature**: Strictly adhere to the provided function name and input/output arguments. 2. **Mathematical Implementation**: Implement the exact formulas provided by the user (e.g., diode I-V relationship, logarithmic growth models, elliptical integrals). 3. **Specific Functions**: Use the specific MATLAB functions mandated by the user (e.g., `polyfit` for regression, `trapz` for trapezoidal integration, `integral` for numerical integration). 4. **Linearization**: If the user hints or requires linearization (e.g., "linearize before performing a polynomial fit"), apply the appropriate mathematical transformations (e.g., taking logarithms) to the data before fitting. 5. **Subfunct

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the MATLAB Numerical Methods Implementation skill do?

Implement MATLAB functions for numerical analysis, including curve fitting, regression, and integration, based on user-provided mathematical formulas and specific constraints.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill matlab-numerical-methods-implementation --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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