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RDKit Cheminformatics Toolkit

A guide for doing molecular work with RDKit — parsing SMILES/SDF, descriptors, fingerprints, substructure search, reactions, and 2D/3D coordinates.

Data & AnalyticsIntermediate33,0303,248AI 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 None after 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

  1. "Compute MW, LogP, TPSA and rotatable bonds for every molecule in this SDF and export a CSV."
  2. "Screen this library for Tanimoto similarity ≥ 0.7 against my reference compound, then cluster hits with Butina."
  3. "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)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
Download 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.

  1. Open a terminal and clone the repo: git clone https://github.com/K-Dense-AI/scientific-agent-skills.git
  2. Create the skills directory: mkdir -p ~/.claude/skills
  3. Copy just this skill: cp -r scientific-agent-skills/skills/rdkit ~/.claude/skills/
  4. Confirm the references/ and scripts/ folders came along — they hold the API docs and worked examples the skill points to.
  5. Install RDKit: uv pip install rdkit for an existing Python environment, or conda create -c conda-forge -n my-rdkit-env rdkit && conda activate my-rdkit-env for a reproducible setup.
  6. Do not mix the conda rdkit build with the PyPI rdkit/rdkit-pypi packages in the same environment.
  7. Restart Claude Code and try a prompt like "Use RDKit to compute descriptors for this SMILES string."