reacnetgenerator

Extract and visualize reaction networks from reactive MD trajectories.

181|20|Updated Apr 29, 2026
One-click install
npx skills add https://github.com/Hello-QM/catgo-LRG --skill reacnetgenerator-hello-qm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reacnetgenerator
Source: https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/reacnetgen
Command: npx skills add https://github.com/Hello-QM/catgo-LRG --skill reacnetgenerator-hello-qm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Extracts and visualizes reaction networks from reactive MD trajectories to identify reaction pathways, species, and kinetics for post-simulation analysis.

Core Features & Use Cases

  • Extract and visualize reaction networks from reactive MD trajectories (ReaxFF/AIMD) using ReacNetGenerator.
  • Identify chemical species and reaction pathways, and track species concentrations over time.
  • Works with LAMMPS dump files with bond information or XYZ trajectories with bond detection; outputs include network diagrams and CSV data files for further analysis.
  • Integrates into CatGo workflow to automate post-simulation analysis and reporting.

Quick Start

Run reacnetgenerator on your MD trajectory with the appropriate input type and atom species to generate the reaction network visualization and data.

Frequently Asked Questions about reacnetgenerator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I visualize reaction networks from reactive MD trajectories?

ReacNetGenerator extracts and visualizes reaction networks from reactive MD trajectories by identifying chemical species and tracking their concentrations over time. It processes bond information from LAMMPS dump files or XYZ trajectories to generate network diagrams and CSV data.

What input formats are supported for extracting reaction pathways from MD simulations?

Reaction pathway extraction accepts LAMMPS dump files with explicit bond information or XYZ trajectories with bond detection. These input formats allow the tool to identify chemical species, map reaction pathways, and track species concentrations over time.

Can I analyze combustion and catalytic surface reactions from ReaxFF trajectories?

Yes, ReacNetGenerator applies to post-simulation analysis of catalytic systems, combustion, and surface reactions from ReaxFF or AIMD trajectories. It identifies chemical species, reaction pathways, and kinetics specific to these complex chemical environments.

Do I need a specific Python environment to run ReacNetGenerator for MD analysis?

Yes, running ReacNetGenerator for MD trajectory analysis requires a compatible Python environment. You must ensure the tool is installed alongside your trajectory files to execute the network extraction and visualization workflow successfully.

What outputs does ReacNetGenerator generate from reactive molecular dynamics data?

ReacNetGenerator outputs visual reaction network diagrams and CSV data files from reactive molecular dynamics trajectories. These outputs enable further analysis of identified species, reaction pathways, and tracked concentrations over time.

How to automate reaction network visualization and reporting within a simulation workflow?

You can automate reaction network visualization and reporting by integrating ReacNetGenerator into the CatGo workflow. This integration streamlines post-simulation analysis by automatically extracting networks and generating reports from your MD trajectory files.