Skip to main content
skill Claude Code CX Codex Cursor GitHub Copilot

rdkit — Claude Code skill: what it does, how to install

Guides coding agents through cheminformatics tasks in Python, including SMILES parsing, descriptor calculations, and 3D coordinate generation.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add K-Dense-AI/scientific-agent-skills --skill rdkit -a claude-code
Open on GitHub

What rdkit does

This skill guides agents through Python cheminformatics. It covers parsing SMILES and SDF formats, validating structures, and computing properties such as LogP and TPSA.

The reference covers Morgan fingerprints and SMARTS queries. It also details ETKDG 3D coordinate embedding. Checking the return code of EmbedMolecule is critical. A value of -1 indicates embedding failure. Sending a failed conformer to force-field optimization breaks the run.

Workflows require the rdkit Python package. It was tested on version 2026.03.6 with Python 3.13. No network access or API credentials are required after setup. Mixing conda and pip installs causes binary extension conflicts.

What it helps with

  • parse and sanitize molecular structures from SMILES and SDF files
  • calculate molecular descriptors including LogP, TPSA, and molecular weight
  • execute substructure searches using SMARTS query patterns
  • generate 3D conformers with ETKDG and optimize geometries

Example prompts for the agent

  • Calculate LogP, TPSA, and molecular weight for these SMILES strings using RDKit
  • Generate 3D coordinates for this molecule using ETKDG and check for embedding failures
  • Search this SDF file for substructures matching the specified SMARTS pattern

How to install rdkit

1Skills CLI (Vercel)

npx skills add K-Dense-AI/scientific-agent-skills --skill rdkit -a claude-code

2Manually: put the files in place

~/.claude/skills/rdkit/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/rdkit/

From the same set120

The whole set →
scientific-visualization K-Dense-AI Generates and audits publication-ready scientific figures in Matplotlib, Seaborn, and Plotly, focusing on truthful data encoding and accessibility. Claude Code CX Codex Cursor +1 2,400installs scientific-writing K-Dense-AI This skill drafts and audits scientific manuscripts and reports while tying claims to verified evidence. Use it for sections, references, declarations, and submission checks. Claude Code CX Codex Cursor +1 2,400installs statistical-analysis K-Dense-AI Runs hypothesis tests with assumption checking, effect sizes, and APA-formatted reports. Covers t-tests, ANOVA, correlation, regression, non-parametric and Bayesian methods. Claude Code CX Codex Cursor +1 2,300installs scientific-brainstorming K-Dense-AI Structures early-stage research ideation through independent idea generation, transparent scoring, and adversarial review. Useful for ranking hypotheses without premature consensus. Claude Code CX Codex Cursor +1 2,300installs literature-review K-Dense-AI This skill searches and synthesizes research literature, checks citations, and prepares Markdown or PDF reviews. Use it for reproducible searches and screening. Claude Code CX Codex Cursor +1 2,300installs scientific-critical-thinking K-Dense-AI Evaluates scientific claims, research methodology, and evidence quality. Applies GRADE and Cochrane Risk of Bias frameworks. Claude Code CX Codex Cursor +1 2,300installs scientific-schematics K-Dense-AI Creates PNG drafts of scientific diagrams and runs a separate quality review. Use it for neural network architectures, flowcharts, system diagrams, and biological pathways. Claude Code CX Codex Cursor +1 2,200installs scikit-learn K-Dense-AI A skill for Python machine learning tasks: classification, regression, clustering, preprocessing, and building ML pipelines with scikit-learn 1.9.1. Claude Code CX Codex Cursor +1 2,200installs

Similar

sr-screener Imbad0202 Applies protocol-driven screening to study records for reviews. It manages double-blind screening of titles, abstracts, and full texts. Claude Code CX Codex Cursor +1 449installs typst-author jihe520 Generates, edits, and troubleshoots Typst markup while enforcing syntax rules and formatting checks. Keeps agents grounded against hallucinations. Claude Code CX Codex Cursor +1 1,800installs anysearch anysearch-ai This skill gives an agent web search, domain-specific queries, parallel batch search, and page extraction. Use it when a task needs current information or a claim needs checking. Claude Code CX Codex Cursor +1 38,500installs academic-paper Imbad0202 This skill runs a 12-agent academic pipeline across 11 modes. It guides projects from literature searches and outlines to citation audits and rebuttal reviews. Claude Code CX Codex Cursor +1 10,800installs nature-figure Yuan1z0825 A skill that builds, revises and audits scientific figures for manuscripts in Python or R. Useful when plots go to submission, not to a report. Claude Code CX Codex Cursor +1 18,700installs academic-paper-reviewer Imbad0202 This skill reviews an academic paper through five role-based perspectives. Use it for peer review, revision checks, or a focused methodology assessment. Claude Code CX Codex Cursor +1 9,800installs nature-polishing Yuan1z0825 A skill that polishes, translates and tightens existing academic prose. Facts, terminology and evidence boundaries stay intact. Claude Code CX Codex Cursor +1 17,400installs nature-citation Yuan1z skill, refactored into static/dynamic layers Finds Nature and CNS-family papers for manuscript claims, maps claims to sources, and prepares a reference-manager export. Use it when the journal scope matters. Claude Code CX Codex Cursor +1 15,600installs

Questions about rdkit

How to install rdkit in Claude Code?

Run npx skills add K-Dense-AI/scientific-agent-skills --skill rdkit -a claude-code in your terminal. You can also install it manually by saving the skill to ~/.claude/skills/rdkit/SKILL.md.

What does the rdkit skill do?

It provides patterns and instructions for Python cheminformatics. The agent handles descriptor calculation, SMARTS substructure matching, fingerprint generation, and 3D coordinates.

What prerequisites are required?

You need Python with the rdkit package installed. The skill operates locally and does not require API keys or internet access.

See also

Project sponsors

Companies that keep this analytics open
Gold sponsor

Impressions, clicks and code copies — open statistics. We keep the numbers public for the same reason NeBlask itself is public. Become a sponsor