ShaneLogic/computational-software-environment-setup
.claude/skills/computational-software-environment-setup/SKILL.md
Configure a MATLAB-based computational environment with multiprecision computing capabilities for mathematical modeling, numerical analysis, and perovskite solar cell simulations. Use when reproducing study results from 2017-2018 research or setting up equivalent computational environments with specific software versions.
$ install --global
skillsauthnpx skillsauth add ShaneLogic/SolarLab computational-software-environment-setupInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 16, 2026, 11:27 AM7.9s1 file scanned
SKILL.md
- name:
- computational-software-environment-setup
- description:
- Configure a MATLAB-based computational environment with multiprecision computing capabilities for mathematical modeling, numerical analysis, and perovskite solar cell simulations. Use when reproducing study results from 2017-2018 research or setting up equivalent computational environments with specific software versions.
Computational Software Environment Setup
This skill provides the specific software configuration required to replicate computational studies involving mathematical modeling, numerical analysis of differential equations, and perovskite solar cell simulations.
When to Use
- Reproducing study results from 2017-2018 research period
- Setting up equivalent computational environment for numerical methods
- Implementing multiprecision computing capabilities within MATLAB
- Working with differential equations and DAE systems using MATLAB-based tools
Prerequisites
- Access to MATLAB licensing
- Compatibility with target operating system (Windows/Linux/Mac)
- Administrative privileges for software installation if required
Configuration Steps
1. Install Primary MATLAB Environment
Set up the base MATLAB installation with the following specifications:
- Software: MATLAB
- Version: 9.3.0.713579 (Release 2017b)
- Publisher: The MathWorks, Inc., Natick, Massachusetts, United States
Note: Newer versions may have different syntax or performance characteristics. For exact reproduction, use the specified version.
2. Install Multiprecision Computing Toolbox
Install the extension toolbox to enable multiprecision computing capabilities:
- Toolbox: Multiprecision Computing Toolbox
- Version: 4.3.2.12144
- Year: 2017
- Publisher: Advanpix
- Purpose: Extends MATLAB with arbitrary-precision arithmetic capabilities
3. Reference Numerical Resources
Consult the following resource for numerical methods implementation:
- Resource: Chebfun Guide
- Publisher: Pafnuty Publications, Oxford
- Year: 2014
- Context: Provides guidance on numerical methods involving differential equations and computing
Verification
Confirm the environment is properly configured by:
- Verifying MATLAB version using
versioncommand - Checking Multiprecision Computing Toolbox installation with
veror toolbox-specific commands - Testing basic multiprecision operations
Constraints
- Software versions listed are specific to the 2017-2018 study timeframe
- Newer versions may require syntax adjustments
- Performance characteristics may vary across different MATLAB releases
- Some numerical methods referenced (e.g., Scharfetter-Gummel discretization) may require custom implementation
Related Skills
ShaneLogic/driftfusion-licensing-guidelines
development
VerifiedTrustedCommunity
Understand and comply with Driftfusion software licensing terms, including the open-source AGPL v3.0 frontend and proprietary MATLAB pdepe solver backend. Use when using, modifying, or distributing Driftfusion code.
1SKILL.mdUpdated Apr 16, 2026
ShaneLogic/driftfusion-initialization
development
VerifiedTrustedCommunity
Initialize the Driftfusion simulation environment and create parameter objects. Use this skill when starting a new MATLAB session or setting up device properties for simulation.
1SKILL.mdUpdated Apr 16, 2026
ShaneLogic/driftfusion-device-structure
development
VerifiedTrustedCommunity
Define device layer structure, configure spatial and time meshes, and build device structures with interface grading. Use this skill when setting up the physical geometry and discretization of a simulation device.
1SKILL.mdUpdated Apr 16, 2026
ShaneLogic/driftfusion-analysis-plotting
research
VerifiedTrustedCommunity
Analyze simulation solutions, calculate physical quantities, and generate plots. Use this skill when processing completed simulations, extracting currents/densities, or visualizing results.
1SKILL.mdUpdated Apr 16, 2026