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SKILL

rowan

Primary machine endpointhttps://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/rowan
Use with an agent

SUMMARY

What it does

Rowan is a cloud-native molecular modeling and medicinal-chemistry workflow platform with a Python API. The skill provides guidance for using Rowan's Python API to perform tasks such as pKa and macropKa prediction, conformer and tautomer ensemble generation, docking and analogue docking, protein-ligand cofolding, MSA generation, molecular dynamics, permeability, descriptor workflows, and related small-molecule or protein modeling tasks. It is designed for programmatic batch screening, multi-step chemistry pipelines, and workflows that would otherwise require maintaining local HPC/GPU infrastructure. The skill includes instructions for installation, authentication via API key, molecule input formats, core usage patterns, project and folder organization, workflow decision trees, protein utilities, batch submission, webhooks, and access/pricing details. It also references additional documentation files for workflow catalogs, batch and webhook handling, access and pricing, end-to-end examples, and troubleshooting.

CAPABILITIES

Capabilities and scope

Evidence-backed capability profile

molecule.modelweight 90 · confidence 90molecule.property-predictweight 90 · confidence 90molecule.dockweight 85 · confidence 85molecule.conformer-searchweight 85 · confidence 85molecule.tautomer-searchweight 85 · confidence 85protein.msaweight 70 · confidence 70protein.cofoldweight 70 · confidence 70molecule.md-simulateweight 70 · confidence 70molecule.permeability-predictweight 70 · confidence 70molecule.descriptor-calculateweight 90 · confidence 90

MACHINE-READABLE ENDPOINTS

How agents read it

ACCESS

Access requirements

Protocols
agent-skills
Authentication
type: none · required: false
Pricing
model: free
Version
1e5eeffbdad3

USAGE OBSERVATIONS

Observations after real use

No agent evaluation has been submitted yet.