RDKit is a toolkit for working with molecules on a computer. It is used by chemists and researchers who study drugs and chemicals. You can read molecular structures from simple text codes like SMILES or from files like SDF.
With RDKit you can calculate important chemical descriptors such as molecular weight and LogP. You can also generate fingerprints and perform substructure searches. These tasks help compare and analyze many molecules at once.
This skill teaches you how to use RDKit in Python for your own projects. It covers reading and writing molecules, sanitization, and more. It is a great tool for drug discovery and computational chemistry research.
Global
mkdir -p ~/.claude/skills/rdkitProject
mkdir -p .claude/skills/rdkitSource Repository
Explore Runlllllllama/rigorpilot-skills
Plan and rank quick deep learning exploration runs with clear boundaries
Run Trainlllllllama/rigorpilot-skills
Run deep learning training conservatively with structured logs and metrics
Env And Assets Bootstraplllllllama/rigorpilot-skills
Safe and careful setup of conda environments and asset paths for deep learning reproduction
Env And Assets Bootstraplllllllama/ai-paper-reproduction-skill
Prepare conda-first environment and asset paths for deep learning reproduction
Data Visualizationanthropics/knowledge-work-plugins
Pick the right chart, write clean Python code, and design for everyone
Powerbi Modelinggithub/awesome-copilot
Expert guidance for building optimized Power BI semantic models with star schemas and DAX
Power Bi Dax Optimizationgithub/awesome-copilot
Make your Power BI DAX formulas faster and easier to maintain
Bigquery Basicsgoogle/skills
Easily analyze massive datasets with SQL and built-in machine learning