Data & Analytics

Get current weather conditions for a location. Use this skill when users ask about weather, temperature, current conditions, forecasts, or any weather-related queries like "What's the weather?", "Is it raining?", "How hot is it outside?", "What's the temperature?", or "Should I bring an umbrella?". Supports automatic location detection via IP or specific location queries.

Generate professional markdown and HTML reports from data with charts, tables, and analysis.

Parse, transform, and analyze CSV files with advanced data manipulation capabilities.

TOON (Token-Oriented Object Notation) encoding for LLM-efficient data representation. 30-60% token savings vs JSON for structured data.

Create charts, graphs, and visualizations from data. Use when the user needs to visualize data, create charts, or generate reports with graphics.

Generate pivot tables and charts from raw data using natural language

This skill automates the adaptation of pre-trained machine learning models

This skill enables claude to forecast future values based on historical

This skill enables claude to analyze the sentiment of text data. it identifies

This skill empowers claude to perform regression analysis and modeling

This skill empowers claude to construct recommendation systems using

This skill allows claude to construct and configure neural network architectures

This skill enables claude to provide interpretability and explainability

Train machine learning models with automated workflows. Analyzes datasets,

Optimize machine learning model hyperparameters using grid search, random

Create, select, and transform features to improve machine learning model

Setup machine learning experiment tracking using MLflow or Weights &

Optimize deep learning models using Adam, SGD, and learning rate scheduling

Split datasets into training, validation, and testing sets for ML model

Generate plots, charts, and graphs from data with automatic visualization

Automate data cleaning, transformation, and validation for ML tasks.

Execute clustering algorithms (K-means, DBSCAN, hierarchical) to identify

Build and evaluate classification models for supervised learning tasks

Build automated machine learning pipelines with feature engineering, model selection, and hyperparameter tuning. Use when automating ML workflows from data preparation through model deployment. Trigger with phrases like "build automl pipeline", "automate ml workflow", or "create automated training pipeline".