Data Science & ML Claudeスキル

Quantitative Backtesting Frameworks

Builds robust, production-grade backtesting systems for trading strategies while eliminating common statistical biases.

Reactome Biological Pathway Analysis

Queries the Reactome REST API to perform pathway enrichment analysis, gene mapping, and systems biology research directly within Claude.

Quantitative Risk Metrics Calculation

Calculates comprehensive portfolio risk metrics like VaR, CVaR, and Sharpe ratios to monitor and manage financial exposure.

AI Multimodal Processing

Integrates Google Gemini's advanced multimodal capabilities to process, analyze, and generate audio, video, images, and documents directly within your development workflow.

Prompt Engineering Patterns

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.

Moon Dev AI Trading Agents

Orchestrates a fleet of 48+ autonomous AI agents for cryptocurrency trading, market analysis, and backtesting across multiple exchanges.

Hybrid Search Implementation

Implements optimized hybrid search patterns combining vector similarity and keyword matching to enhance RAG system recall.

Similarity Search Patterns

Implements efficient semantic search and vector database patterns for production-grade retrieval systems.

DrugBank Pharmaceutical Intelligence

Accesses and analyzes comprehensive drug data including properties, interactions, targets, and chemical structures from the DrugBank database.

Astropy Astronomy Toolkit

Facilitates astronomical research and data analysis by providing tools for celestial coordinates, physical units, and FITS file manipulation.

Datamol Cheminformatics

Simplifies molecular cheminformatics and drug discovery workflows through a Pythonic interface for RDKit.

AgentDB Learning Plugins

Builds and trains self-improving AI agents using nine reinforcement learning algorithms and WASM-accelerated inference.

PyLabRobot Lab Automation

Automates laboratory liquid handling and hardware control using a hardware-agnostic Python interface.

NeuroKit2 Biosignal Analysis

Processes and analyzes physiological biosignals including cardiac, neural, and autonomic data for psychophysiology and clinical research.

Bioinformatics & Genomic Queries

Queries 20+ genomic databases for gene information, protein structures, and sequence analysis directly within your development environment.

EdgarTools SEC Analysis

Accesses and analyzes real-time SEC filings and financial statements with token-efficient data retrieval.

Plotly Data Visualization

Generates interactive, publication-quality scientific and statistical visualizations for Python data analysis.

BioServices Bioinformatics Toolkit

Provides programmatic access to over 40 bioinformatics web services and databases for integrated biological data analysis.

ESM: Protein Modeling Toolkit

Provides a comprehensive toolkit for protein language models to design, predict, and analyze protein sequences and structures.

Cirq Quantum Computing

Builds, simulates, and optimizes quantum circuits for execution on leading quantum hardware and simulators.

European Nucleotide Archive (ENA) Access

Accesses and retrieves genomic data, nucleotide sequences, and metadata from the European Nucleotide Archive (ENA) via REST APIs and FTP.

HMDB Metabolomics Database

Provides comprehensive access to the Human Metabolome Database (HMDB) for metabolite identification, chemical analysis, and clinical research.

Chroma Vector Database

Integrates ChromaDB capabilities for building AI applications with persistent memory and semantic search.

NCBI Gene Database Integration

Queries the NCBI Gene database to retrieve comprehensive genetic information, sequences, and functional annotations via E-utilities and Datasets APIs.

Datamol Cheminformatics

Simplifies molecular cheminformatics workflows by providing a Pythonic wrapper around RDKit with sensible defaults and parallel processing.

gget Bioinformatics Toolkit

Provides rapid, unified access to over 20 genomic and proteomic databases for sequence analysis and protein structure prediction.

PyLabRobot

Automates laboratory workflows and controls liquid handling robots, plate readers, and other lab equipment using a hardware-agnostic Python SDK.

COBRApy Metabolic Modeling

Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering.

DeepChem Molecular ML

Applies advanced machine learning techniques to chemistry, biology, and materials science using the DeepChem library.

Datamol Cheminformatics

Simplifies molecular cheminformatics and drug discovery workflows using a Pythonic interface for RDKit.