Data Science & ML Claude 技能

AC Knowledge Graph

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

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.

Amazon Bedrock Prompt Manager

Manages, versions, and tests Amazon Bedrock prompt templates to streamline enterprise-grade prompt engineering workflows.

Amazon Bedrock Agents

Builds and manages autonomous AI agents on Amazon Bedrock using foundation models, action groups, and knowledge bases.

Gemini 3 Pro API Integration

Integrates Google's Gemini 3 Pro API and SDK into applications for advanced reasoning, streaming chat, and large-context processing.

LLM Application Evaluation

Evaluates Large Language Model application performance using automated metrics, human feedback loops, and LLM-as-judge frameworks.

Agent Builder

Orchestrates the development of complete, production-ready Claude Code agents using Anthropic's official best practices for context engineering and tool design.

Prompt Engineering Patterns

Optimizes LLM performance and reliability through advanced techniques like few-shot learning, chain-of-thought reasoning, and modular prompt templates.

Demographic Fiscal Trap Analyzer

Analyzes the intersection of aging populations and sovereign debt to quantify fiscal vulnerability and potential currency dilution paths.

Amazon Bedrock Prompt Management

Streamlines the creation, versioning, and lifecycle management of Amazon Bedrock prompt templates with variable substitution and A/B testing.

Similarity Search Patterns

Implements high-performance similarity search and vector database patterns for AI-driven applications.

Vercel AI SDK Integrator

Implements modern AI patterns including streaming responses, tool calling, and structured outputs using the Vercel AI SDK.

Domain Advisor

Plans data science and hardware optimization experiments by analyzing historical project logs and domain-specific configurations.

Renku AI Video Generator

Generates complex AI-driven video compositions and media pipelines using the Renku CLI.

Whisper Transcription

Transcribes audio files into text using a local whisper.cpp server with GPU acceleration.

HiPerGator Multi-Group Conda Manager

Configures and manages multiple Conda environment locations across different research group storage allocations on the UF HiPerGator supercomputer.

Scientific Project Data Separation

Organizes scientific research repositories by decoupling core code from experimental data and notebook outputs.

Windows CuPy NVRTC Fix

Resolves CuPy runtime compilation errors on Windows by correctly configuring CUDA NVRTC paths.

Benchling R&D Integration

Automates Benchling life sciences workflows and manages biological data via the Python SDK and REST API.

FlowIO (Flow Cytometry Data Handler)

Parses and generates Flow Cytometry Standard (FCS) files to facilitate cytometry data preprocessing and scientific analysis.

Channel Name Parsing Utility

Parses microscopy channel and marker names from KINTSUGI metadata files using automatic format detection.

RAG Engineer

Architects and optimizes high-performance Retrieval-Augmented Generation systems using advanced embedding, chunking, and search strategies.

Histolab WSI Processing

Automates tissue detection and tile extraction from whole slide images for digital pathology and machine learning workflows.

Search & Vector Architect

Architects and implements high-performance full-text search engines and vector retrieval systems for AI-driven applications.

Datamol Cheminformatics

Simplifies molecular cheminformatics and drug discovery workflows with a Pythonic abstraction layer over RDKit.

Prompt Engineering Patterns

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

RAG Implementation Toolkit

Builds advanced Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground AI responses in proprietary data.

RAG Implementation

Implements Retrieval-Augmented Generation (RAG) systems with vector databases and semantic search to build grounded, knowledge-aware AI applications.

ClinVar Database

Queries and interprets genetic variant clinical significance data from the NCBI ClinVar database.