Data Science & ML Claude 技能

Context Compression Strategies

Optimizes long-running AI agent sessions by implementing structured context compression to maintain technical accuracy and memory efficiency.

FinnHub Financial Data

Integrates Claude with the FinnHub API to retrieve real-time stock quotes, fundamental data, crypto prices, and market news.

Senior Prompt Engineer & AI Architect

Implements production-grade prompt engineering patterns, RAG optimization, and agentic system architectures for advanced AI products.

xAI Agent Tools for Grok

Empowers autonomous AI agents with real-time X (Twitter) search, web search, and sandboxed Python code execution capabilities.

Vaex Big Data Science

Processes and analyzes billion-row tabular datasets using lazy, out-of-core DataFrame operations without exceeding available RAM.

LatchBio Integration

Builds and deploys serverless bioinformatics workflows on the Latch platform using Python-native SDKs.

Flow Nexus Swarm

Deploys and orchestrates cloud-based AI agent swarms with event-driven workflow automation and intelligent coordination.

Python Experiment Conventions

Standardizes Python experiment layouts, stage entrypoints, and asset handling for consistent data science workflows.

Swarm Orchestration

Orchestrates multi-agent swarms using dynamic topologies and automated task distribution for complex, parallel AI workflows.

ClinicalTrials.gov Explorer

Queries the ClinicalTrials.gov API v2 to search, filter, and export detailed clinical study data for research and patient matching.

BioRxiv Preprint Research Tool

Searches and retrieves life sciences preprints from the bioRxiv database with advanced filtering and PDF download capabilities.

ReasoningBank Intelligence

Implements adaptive learning and pattern recognition systems to enable AI agents to optimize strategies and improve through experience.

AC Knowledge Graph

Builds and manages semantic knowledge graphs to enhance autonomous coding and project understanding.

ReasoningBank with AgentDB

Implements high-performance adaptive learning patterns and trajectory tracking for self-learning agents using a 150x faster vector database.

COSMIC Cancer Genomics

Accesses and queries the world's largest database of somatic mutations and curated cancer genes for research and precision oncology.

AgentDB Learning

Implements and trains reinforcement learning algorithms to create autonomous agents that improve through experience.

Gtars Genomic Analysis

Accelerates genomic interval analysis and machine learning preprocessing with high-performance Rust-powered algorithms and Python bindings.

AgentDB Learning

Trains and deploys reinforcement learning models for autonomous agents using nine specialized algorithms including Decision Transformers and Q-Learning.

ReasoningBank Intelligence

Implements adaptive learning systems to enable AI agents to recognize patterns, optimize strategies, and improve continuously through experience.

Flow Nexus Neural

Deploys and trains sophisticated neural networks across distributed sandbox environments using various architectures and federated learning techniques.

COSMIC Cancer Mutation Database

Accesses the world's largest database of somatic mutations for cancer research and precision oncology data analysis.

AgentDB Memory Patterns

Implements high-performance persistent memory and reasoning patterns for AI agents using vector storage and reinforcement learning.

ReasoningBank with AgentDB

Implements high-performance adaptive learning and experience replay patterns for self-improving AI agents using a high-speed vector database backend.

FDA Database Access

Queries and analyzes openFDA regulatory data for drugs, medical devices, food safety, and substance identification.

PyOpenMS Mass Spectrometry Analysis

Analyzes mass spectrometry data for proteomics and metabolomics using the PyOpenMS library.

Gemini 3 Pro API Integration

Integrates Google's Gemini 3 Pro API into Python and Node.js applications with advanced reasoning and streaming capabilities.

RAG Implementation Guide

Builds high-performance Retrieval-Augmented Generation (RAG) systems using vector databases, semantic search, and advanced retrieval patterns.

ToolUniverse Scientific Research

Connects Claude to over 600 specialized scientific tools and databases for bioinformatics, drug discovery, and genomic analysis.

DNAnexus Integration

Integrates Claude with the DNAnexus platform to develop genomics apps, manage sequencing data, and orchestrate bioinformatics pipelines.

Gtars Genomics Toolkit

Performs high-performance genomic interval analysis and data preprocessing for machine learning using Rust-powered tools.