Skillzwave

pytdc

84 stars 11 forks Updated Dec 4, 2025
47.7

"Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction."

#print#split#Molecular Generation#oracle#test
Also in: github python api

Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation

View all platforms →
skilz install Microck_ordinary-claude-skills/pytdc
skilz install Microck_ordinary-claude-skills/pytdc --agent opencode
skilz install Microck_ordinary-claude-skills/pytdc --agent codex
skilz install Microck_ordinary-claude-skills/pytdc --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

View All Agents
Download Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/Microck/ordinary-claude-skills
2. Copy the skill directory:
cp -r ordinary-claude-skills/skills_all/claude-scientific-skills/scientific-skills/pytdc ~/.claude/skills/
View on GitHub

Need detailed installation help? Check our platform-specific guides:

Claude Desktop Guide Claude Code Guide Troubleshooting

Related Skills

datamol

"Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization...

66.7
TECH data analysis › analysis drug rdkit
Commands Marketplace
#Molecule#Returns#molecules
+github +python

pytdc

"Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML...

66.7
TECH data analysis › analysis drug rdkit
Commands Marketplace
#print#split#Molecular Generation
+github +python

datamol

"Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization...

47.7
TECH data analysis › analysis drug rdkit
#Molecule#Returns#molecules
+github +python

datamol

"Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization...

24.7
TECH data analysis › analysis drug rdkit
#Refer#molecular#clustering
+github +markdown

Details

Owner
Microck
Repository
ordinary-claude-skills
Stars
84
Forks
11
Type
Technical
Meta-Domain
data ai
Primary Domain
data analysis
Sub-Domain
analysis drug rdkit
Skill Size
72.7 KB
Files
7
Quality Score
47.7

AI-Detected Topics

Extracted using NLP analysis

print split Molecular Generation oracle test

Browse Category

More data ai skills

Report Security Issue

Found a security vulnerability in this skill?