Data Science & ML Claude 技能

Prompt Engineering Patterns

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

Groq Core Workflow B

Executes secondary Groq processing workflows to complement primary AI inference tasks with optimized performance.

ML Experiment Tracking Setup

Automates the configuration of MLflow and Weights & Biases to track machine learning parameters, metrics, and artifacts.

RAG Implementation Toolkit

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

Tile Snake Pattern Stitching

Reconstructs multiplex microscopy images by correctly ordering tiles acquired via snake or serpentine stage patterns.

LangChain Architecture & Agent Design

Architects sophisticated LLM applications using LangChain patterns for agents, memory management, and complex workflow orchestration.

Lindy SDK Design Patterns

Implements standardized SDK patterns and best practices for building robust Lindy AI agents.

GPU CLI

Executes Python and machine learning code on high-performance cloud GPUs directly from your local terminal.

LangChain SDK Patterns

Implements production-ready LangChain patterns for robust LLM applications including LCEL chains, structured outputs, and fallback mechanisms.

Firebase Genkit Production Expert

Builds production-ready AI applications using Firebase Genkit, including RAG systems, complex flows, and cross-language tool calling.

Kling AI Video Quickstart

Initiates a streamlined 'Hello World' example for Kling AI video generation to verify API setup and integration patterns.

Neural Network Builder

Constructs and configures custom neural network architectures automatically using integrated machine learning build tools.

LangChain Performance Tuning

Optimizes LangChain application performance by reducing latency and improving throughput through advanced caching, batching, and streaming strategies.

Agent Builder

Design and build autonomous AI agents using minimalist architectural patterns and robust capability sets.

XLSX Master

Automates professional spreadsheet creation, data analysis, and financial modeling with dynamic formulas and industry-standard formatting.

Model Versioning Tracker

Automates the tracking, lineage management, and performance logging of AI and machine learning model versions.

Ollama Local AI Setup

Automates the installation and configuration of Ollama to enable local LLM deployment and eliminate API costs.

LangChain Migration Deep Dive

Facilitates complex transitions from legacy LLM frameworks and raw SDKs to robust LangChain implementations using structured migration strategies.

LLM Evaluation Framework

Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and comparative benchmarking.

Repomix Repository Packager

Packages entire codebases into single, AI-optimized files to provide comprehensive context for LLMs like Claude, ChatGPT, and Gemini.

AutoML Pipeline Builder

Builds end-to-end automated machine learning pipelines including feature engineering, model selection, and hyperparameter tuning.

Gemini CLI Integration

Integrates Google's Gemini AI models into Claude Code for cross-model reasoning and advanced code generation.

Advanced Excel & Spreadsheet Manager

Automates the creation, editing, and analysis of professional-grade Excel spreadsheets with dynamic formulas and industry-standard financial modeling.

Advanced Excel & Spreadsheet Automation

Automates professional spreadsheet creation, financial modeling, and data analysis with formula preservation and industry-standard formatting.

MaxFuse Parameter Scaling

Optimizes MaxFuse integration parameters for high-dimensional protein panels to prevent CCA overfitting during multi-omic data alignment.

CryptoQuant On-Chain Analytics

Accesses real-time and historical on-chain metrics for Bitcoin, Ethereum, and crypto markets to provide data-driven trading insights.

Machine Learning Deployment Helper

Automates the deployment of machine learning models to production environments using CI/CD workflows and infrastructure-as-code best practices.

Jupyter Notebook Cell Referencing

Standardizes how AI identifies and communicates about specific Jupyter notebook cells using stable, identifiable characteristics instead of volatile cell numbers.

Cross-Modal Normalization for MaxFuse

Standardizes scale alignment for multi-modal RNA and protein data integration to ensure accurate cross-modal matching.

RL Trading Reward Optimizer v3.3.0

Optimizes reinforcement learning reward functions for automated trading to eliminate reward hacking and improve P&L gradient signals.