Agent Skills

ReacNetGenerator provides official Agent Skills to analyze reactive molecular dynamics trajectories using an agent.

List of skills

• reacnetgenerator: Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. It supports common ReacNetGenerator inputs such as LAMMPS dump trajectories, ReaxFF bond files, and XYZ trajectories, and can help handle trajectory-format details before running the analysis.

Related reference

The reacnetgenerator skill is one of the domain-specific computational chemistry skills described in the following paper:

• Mingwei Ding, Chen Huang, Yibo Hu, Yifan Li, Zitian Lu, Xingtai Yu, Duo Zhang, Wenxi Zhai, Tong Zhu, Qiangqiang Gu, and Jinzhe Zeng. Automating Computational Chemistry Workflows via OpenClaw and Domain-Specific Skills. J. Chem. Theory Comput., 2026, DOI: 10.1021/acs.jctc.6c00622.

Install skills

If you are human beings

The easiest way is to send this page to the agent and ask the agent to install skills for you. Users usually do not need to perform manual installation.

If you are an agent

1. Run the following command in your workspace:

   npx -y skills add deepmodeling/reacnetgenerator -a <your-agent-name> -y
   

   The command uses the skill CLI to clone deepmodeling/reacnetgenerator and copy skill directories from skills/ into your workspace skills directory.

2. Refresh/restart the session so skills are reloaded.

Minimal verification

Ask the agent to run this task:

• “use the ReacNetGenerator skill to show the reacnetgenerator -h help message”