rowan

Access cloud-based quantum chemistry and molecular modeling workflows via a Python API.

1|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/yf8578/clawomics --skill rowan-yf8578
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rowan
Source: https://github.com/yf8578/clawomics/tree/main/skills/rowan
Command: npx skills add https://github.com/yf8578/clawomics --skill rowan-yf8578

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires stjames, rdkit-python, rowan-python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides cloud-based access to advanced quantum chemistry and molecular modeling workflows, eliminating the need for local high-performance computing resources and complex software installations.

Core Features & Use Cases

  • Molecular Property Prediction: Calculate pKa, redox potentials, solubility, and more.
  • Geometry Optimization & Conformer Search: Find stable molecular structures and explore conformational space.
  • Protein-Ligand Docking & Cofolding: Predict binding poses and protein structures with AI models.
  • Use Case: A medicinal chemist needs to predict the pKa of a series of drug candidates to understand their ionization state at physiological pH. They can use this Skill to submit all candidates and receive pKa values without needing local computational chemistry software.

Quick Start

Use the rowan skill to calculate the pKa of the molecule represented by the SMILES string 'c1ccccc1O'.

Frequently Asked Questions about rowan

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

FAQPage Schema
How do I predict pKa values for drug candidates without local computational chemistry software?

You can predict pKa values for drug candidates by submitting SMILES strings to this cloud-based quantum chemistry API, which calculates molecular properties without requiring local high-performance computing resources or software installations.

Can I perform protein-ligand docking and AI protein cofolding using a Python API?

Yes, you can perform protein-ligand docking and AI-driven protein cofolding programmatically through the Python API, predicting binding poses and protein structures without needing local computational chemistry software installations.

Do I need an API key to run quantum chemistry workflows like geometry optimization?

Yes, an API key is required for authentication to access cloud-based quantum chemistry workflows for geometry optimization, conformer searching, and molecular property prediction through the Python API.

What is the best way to find stable molecular structures and explore conformational space?

The best way to find stable molecular structures and explore conformational space is using cloud quantum chemistry workflows, which handle geometry optimization and conformer searches without local high-performance computing resources.

Does this molecular modeling Skill work with RDKit for molecular manipulation?

Yes, this molecular modeling Skill utilizes RDKit and stjames libraries for molecular manipulation, providing programmatic access to cloud-based quantum chemistry and molecular modeling workflows.