rdkit-chemoinformatics

RDKit chemoinformatics skill for molecular property calculation and compound library management

509 stars

Best use case

rdkit-chemoinformatics is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

RDKit chemoinformatics skill for molecular property calculation and compound library management

Teams using rdkit-chemoinformatics should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/rdkit-chemoinformatics/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/bioinformatics/skills/rdkit-chemoinformatics/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/rdkit-chemoinformatics/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How rdkit-chemoinformatics Compares

Feature / Agent	rdkit-chemoinformatics	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

RDKit chemoinformatics skill for molecular property calculation and compound library management

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# RDKit Chemoinformatics Skill

## Purpose
Provide RDKit chemoinformatics for molecular property calculation and compound library management.

## Capabilities
- Molecular descriptor calculation
- SMILES/InChI handling
- Substructure searching
- Fingerprint generation
- ADMET property prediction
- Compound library filtering

## Usage Guidelines
- Standardize molecular representations
- Calculate relevant descriptors for analysis
- Use fingerprints for similarity searching
- Filter libraries by drug-like properties
- Predict ADMET properties for prioritization
- Document descriptor and fingerprint types

## Dependencies
- RDKit
- Open Babel
- ChEMBL

## Process Integration
- Molecular Docking and Virtual Screening (molecular-docking)

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