Data Science & ML Claude 技能

Dotted Symbol Exclusion for Trading Data

Optimizes financial data pipelines by automatically filtering non-standard ticker symbols that cause API errors during sector lookups.

Alpaca Trading Order Limitations

Enforces Alpaca broker-specific constraints by filtering unsupported crypto short orders while maintaining valid equity shorting capabilities.

Parallel Universe Selection Optimizer

Accelerates quantitative trading universe selection by 3-4x through parallel processing and optimized caching strategies.

Interactive Plotly FigureWidget Fix

Resolves KeyError: 'uid' errors when updating interactive Plotly FigureWidget shapes and sliders in VS Code.

Alpaca Algo Trader Plus Data Connector

Leverages the Alpaca Algo Trader Plus subscription to fetch extended historical market data for training robust trading models.

Lightsheet PSF Deconvolution

Eliminates horizontal banding artifacts in microscopy data by implementing true lightsheet Point Spread Function (PSF) calculations.

Per-Sector Trading Candidate Filter

Optimizes trading universe selection by applying sector-specific volume filters to ensure a diverse and manageable pool of candidates.

Trading Selection Diversity Validation

Enforces strict portfolio diversity constraints and correlation limits in trading systems using the Fail Loudly pattern.

DeepChem Molecular Machine Learning

Applies machine learning to chemistry, biology, and materials science for drug discovery and molecular property prediction.

LlamaFarm Text Classification

Classifies text data using zero-shot labeling or custom-trained machine learning models directly within your terminal.

Meta-Analysis Master (C5)

Orchestrates comprehensive meta-analysis workflows with multi-gate validation to ensure data integrity and statistical accuracy.

I3 RAG Builder & Document Processor

Builds cost-free RAG systems using parallel document processing and local vector embeddings.

COBRApy Metabolic Modeling

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

Diverga E1: Advanced Research & Statistical Analysis

Automates complex quantitative and qualitative research workflows with 5-phase methodological guidance and multi-language code generation.

PRISMA Systematic Review Orchestrator

Automates and manages the end-to-end 7-stage PRISMA 2020 systematic literature review pipeline from research question to RAG system.

Diverga: Social Science Research Suite

Orchestrates complex social science research and systematic reviews using 24 specialized agents and integrated academic database tools.

SimPy Simulation Engine

Builds process-based discrete-event simulations in Python to model complex systems, resource contention, and queue behaviors.

SimPy Simulation Engine

Builds complex discrete-event simulations in Python to model systems with processes, queues, and shared resources.

Data Import and Profiling

Systematizes the process of discovering, profiling, and importing CSV data into relational databases with comprehensive quality checks.

gget Bioinformatics Tool

Streamlines bioinformatics workflows by providing a unified CLI and Python interface to over 20 genomic and proteomic databases.

RAG Implementation Guide

Builds high-performance Retrieval-Augmented Generation (RAG) systems to ground LLM responses with proprietary or external data.

Vector Index Tuning & Optimization

Optimizes vector search performance by tuning index parameters, quantization strategies, and memory usage for production-grade AI applications.

SimPy Simulation Explorer

Models and simulates complex discrete-event systems using Python generator functions and shared resource management.

LangChain Architecture & Design

Builds sophisticated LLM applications using the LangChain framework with agents, memory systems, and complex workflows.

Quantitative Backtesting Frameworks

Builds robust, production-grade backtesting systems for trading strategies while mitigating common biases and handling transaction costs.

Universal Meta-Analysis Codebook

Standardizes meta-analysis data extraction through a multi-layered AI-human collaboration framework and automated statistical provenance.

Arboreto Bioinformatics Analysis

Infers large-scale gene regulatory networks from transcriptomics data using scalable GRNBoost2 and GENIE3 algorithms.

Plotly Data Visualization

Generates interactive, publication-quality scientific and statistical charts using the Python Plotly library.

MechInterp Glossary and Constraints

Provides domain-specific knowledge and experimental constraints for mechanistic interpretability research on Splatoon data models.

RAG Manager

Manages Retrieval-Augmented Generation (RAG) indices to enable semantic search capabilities over BigQuery datasets.