Automate molecular simulation workflows with LangGraph, ASE, RDKit, and MCP servers.
npx skills add https://github.com/argonne-lcf/ChemGraph --skill chemgraph
Please help me install this Agent Skill. Skill: chemgraph Source: https://github.com/argonne-lcf/ChemGraph/tree/main/.opencode/skills/chemgraph Command: npx skills add https://github.com/argonne-lcf/ChemGraph --skill chemgraph
ChemGraph provides a scalable framework to automate complex molecular simulation workflows driven by LLMs, reducing manual orchestration and configuration overhead.
Provide a simple molecule to start an automated ChemGraph workflow and observe the results.
High-intent search queries and answers about installing and using this skill.
Automate molecular simulation workflows by using an LLM-driven ChemGraph agent to generate 3D structures from SMILES, run geometry optimization, and perform vibrational analysis end-to-end across HPC backends.
An agentic workflow for molecular modeling uses LangGraph, ASE, and RDKit to orchestrate tasks like structure generation, optimization, and thermochemistry, reducing manual configuration overhead across HPC scale backends.
Yes, you can run vibrational analysis and thermochemistry on HPC backends by leveraging flexible modular backends and tool integrations built with ASE, RDKit, and MCP servers for scalable execution.
Configure reproducible molecular simulation experiments by defining project prompts, schemas, and MCP tooling within the ChemGraph framework to ensure consistent, reproducible workflow configurations.
The best way to generate 3D structures from SMILES and assemble results is deploying an end-to-end LangGraph workflow that handles structure generation, optimization, vibrational analysis, and automated report assembly.
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