RDKit Cheminformatics Toolkit
A guide for doing molecular work with RDKit — parsing SMILES/SDF, descriptors, fingerprints, substructure search, reactions, and 2D/3D coordinates.
Data & AnalyticsIntermediate★ 33,030⑂ 3,248AI score 8/10Last updated: Aug 9, 2026
What it does
- Guides molecular I/O (SMILES, MOL blocks, InChI, SDF suppliers/writers) and manual or partial sanitization control.
- Covers descriptors (MW, LogP, TPSA, rotatable bonds), fingerprints via
rdFingerprintGenerator(Morgan/ECFP, MACCS, atom pair, Avalon), Tanimoto similarity, and Butina clustering. - Adds SMARTS substructure searching, reaction SMARTS, ETKDG 3D embedding with force-field optimization, RMSD, scaffold/canonical hashes, and drawing with highlights.
- Bundles runnable scripts:
molecular_properties.py,similarity_search.py,substructure_filter.py. - Flags common pitfalls: unchecked
Noneafter parsing, missing explicit hydrogens, 2D vs 3D coordinates, and thread-unsafe MolSuppliers.
Who it's for
- Drug discovery, computational chemistry, and cheminformatics researchers
- Data scientists filtering or screening compound libraries
- Users who need finer control than the datamol wrapper provides
Examples
- "Compute MW, LogP, TPSA and rotatable bonds for every molecule in this SDF and export a CSV."
- "Screen this library for Tanimoto similarity ≥ 0.7 against my reference compound, then cluster hits with Butina."
- "Filter molecules containing an amide group via SMARTS and render a grid image with the match highlighted."
· · · Install guide · · ·
Try it now, no install
Paste this into Claude to use the skill without installing anything.
Read the instructions in this file and follow them to help me: https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/HEAD/skills/rdkit/SKILL.md What I want: (describe your task here)
If Claude can't open the link, open it yourself and paste the contents instead.
↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.
Install in the Claude app (no terminal)
- Download the ZIP with the button below.
- In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
- Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
Install in Claude Code
Let Claude do it — paste this into Claude Code
Install the skill I found on Claude Skill Mart. Copy the skills/rdkit folder from the GitHub repo K-Dense-AI/scientific-agent-skills into my ~/.claude/skills/rdkit/. When it's done, tell me in one line what this skill can do.
Install with a command instead
git clone https://github.com/K-Dense-AI/scientific-agent-skills.git && mkdir -p ~/.claude/skills && cp -r scientific-agent-skills/skills/rdkit ~/.claude/skills/⚠ This is a third-party skill. Check the source repository before installing.
- Open a terminal and clone the repo:
git clone https://github.com/K-Dense-AI/scientific-agent-skills.git - Create the skills directory:
mkdir -p ~/.claude/skills - Copy just this skill:
cp -r scientific-agent-skills/skills/rdkit ~/.claude/skills/ - Confirm the
references/andscripts/folders came along — they hold the API docs and worked examples the skill points to. - Install RDKit:
uv pip install rdkitfor an existing Python environment, orconda create -c conda-forge -n my-rdkit-env rdkit && conda activate my-rdkit-envfor a reproducible setup. - Do not mix the conda
rdkitbuild with the PyPIrdkit/rdkit-pypipackages in the same environment. - Restart Claude Code and try a prompt like "Use RDKit to compute descriptors for this SMILES string."
View source on GitHub ↗License: MIT