Data Science & ML Claude 技能

Forecast Generator

Automates the creation of predictive models and data forecasts for business intelligence and statistical analysis.

Groq Installation & Authentication

Automates the installation of Groq SDKs and configures API authentication for Node.js and Python projects.

Spark SQL Optimizer

Optimizes Apache Spark SQL queries and data pipeline performance using industry-standard best practices and execution patterns.

FastAPI ML Endpoint

Deploys machine learning models as high-performance FastAPI endpoints with production-ready configurations and MLOps patterns.

Dataset Loader Creator

Automates the generation of optimized, production-ready dataset loaders for machine learning frameworks like PyTorch and TensorFlow.

Model Evaluation Metrics

Generates and implements comprehensive performance metrics and evaluation logic for machine learning models.

NeMo Evaluator SDK

Benchmarks Large Language Models across 100+ standard and custom evaluation harnesses with enterprise-grade reproducibility.

Kling AI Model Catalog

Explores and compares Kling AI video generation models to help users select the optimal configuration for their creative projects.

Text Sentiment Analysis

Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral for data-driven insights.

Kling AI Content Policy Manager

Implements robust content policy compliance and safety moderation for Kling AI video generation workflows.

DeFi Yield Optimizer

Analyzes and compares decentralized finance yield opportunities across protocols using real-time APY calculations and market data.

Dataset Splitter

Automates the partitioning of datasets into training, validation, and testing sets for machine learning model development.

OpenRouter Multi-Provider

Integrates and compares multiple AI providers through OpenRouter's unified API to create resilient, provider-agnostic systems.

Hyperparameter Tuner

Optimizes machine learning model performance by automatically identifying and implementing the most effective hyperparameter configurations.

Forecast Generator & Data Analytics

Automates the generation of predictive forecasting models and statistical analysis workflows within your development environment.

Clustering Algorithm Runner

Performs automated data clustering analysis using K-means, DBSCAN, and hierarchical algorithms to identify patterns and segments in datasets.

Kling AI Async Workflows

Orchestrates complex asynchronous video generation pipelines using Kling AI, message queues, and robust state management.

Regression Analysis Tool

Automates the generation, validation, and performance reporting of regression models to derive actionable insights from complex datasets.

Ollama Local AI Setup

Automates the installation and configuration of Ollama for local LLM deployment and cost-free AI development within Claude Code.

Dagster Pipeline Creator

Simplifies the creation of production-grade Dagster pipelines for data orchestration and ETL workflows.

MLflow Tracking Setup

Configures and optimizes MLflow tracking environments for seamless experiment logging and machine learning lifecycle management.

Transfer Learning Adapter

Automates the fine-tuning and adaptation of pre-trained machine learning models for specific datasets and tasks.

Automated Data Preprocessing Pipeline

Automates data cleaning, transformation, and validation to create production-ready datasets for machine learning models.

TorchServe Config Generator

Automates the creation of optimized configuration files for deploying PyTorch models via TorchServe.

Machine Learning Feature Engineering

Enhances machine learning model performance by automating feature creation, selection, and transformation tasks.

Machine Learning Feature Engineering

Automates the creation, selection, and transformation of data features to optimize machine learning model performance and accuracy.

Time Series Forecaster

Analyzes historical temporal data to predict future trends and seasonal patterns using advanced statistical modeling.

Hyperparameter Tuner & Optimizer

Optimizes machine learning model performance by automatically searching for the most effective hyperparameter configurations.

Classification Model Builder

Automates the end-to-end creation, training, and evaluation of supervised machine learning classification models.

Data Anomaly Detection

Identifies outliers and unusual patterns in datasets using machine learning to uncover fraud, security threats, or system irregularities.