Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with...
AI & LLM
LLM integrations, prompt engineering, and AI orchestration
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery...
Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use...
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy...
Access COSMIC cancer mutation database. Query somatic mutations, Cancer Gene Census, mutational signatures, gene...
Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems...
Query NCBI ClinVar for variant clinical significance. Search by gene/position, interpret pathogenicity...
Query ClinicalTrials.gov via API v2. Search trials by condition, drug, location, status, or phase. Retrieve trial...
Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract...
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits,...
Query ChEMBL bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve...
Query the CELLxGENE Census (61M+ cells) programmatically. Use when you need expression data across tissues,...
Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences...
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB),...
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API,...
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with...
This skill should be used for time series machine learning tasks including classification, regression, clustering,...
Step-by-step instructions for designing table schemas and setting up TimescaleDB with hypertables, indexes,...
Comprehensive guide for migrating PostgreSQL tables to TimescaleDB hypertables with optimal configuration and...
Analyze an existing PostgreSQL database to identify tables that would benefit from conversion to TimescaleDB hypertables
Comprehensive PostgreSQL-specific table design reference covering data types, indexing, constraints, performance...
MCP server and Claude plugin for Postgres skills and documentation. Helps AI coding tools generate better PostgreSQL code.
This skill should be used when users request help optimizing, improving, or refining their prompts or instructions...
This skill should be used when the user asks to "optimize with SIMBA", "use Bayesian optimization", "optimize agents...