differentiation-schemes

Name: differentiation-schemes
Rating: 1.1 (1 reviews)
Author: HeshamFS

22.5

Select and apply numerical differentiation schemes for PDE/ODE discretization. Use when choosing finite difference/volume/spectral schemes, building stencils, handling boundaries, estimating truncation error, or analyzing dispersion and dissipation.

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Installation for Agentic Skill

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Claude Code (CLI) Fast

skilz install HeshamFS/materials-simulation-skills/differentiation-schemes

OpenCode (CLI) Fast

skilz install HeshamFS/materials-simulation-skills/differentiation-schemes --agent opencode

OpenAI Codex (CLI) Native

skilz install HeshamFS/materials-simulation-skills/differentiation-schemes --agent codex

Gemini CLI (Project) Project

skilz install HeshamFS/materials-simulation-skills/differentiation-schemes --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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For Claude Desktop Easy

Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

Manual Installation

1. Clone the repository:

git clone https://github.com/HeshamFS/materials-simulation-skills

2. Copy the agent skill directory:

cp -r materials-simulation-skills/skills/core-numerical/differentiation-schemes ~/.claude/skills/

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Need detailed installation help? Check our platform-specific guides:

Claude Desktop Guide Claude Code Guide Troubleshooting

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Agentic Skill Details

Owner: HeshamFS (GitHub)
Repository: materials-simulation-skills
Type: Non-Technical
Meta-Domain: general
Primary Domain: general
Sub-Domain: formulas product
Market Score: 22.5

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