Agent skill
Turkey News
Türkiye'den önemli haberleri RSS ile çekip özetleyen skill.
OpenClawContent & Media
luokai014
Agent skills
Reusable instructions for compatible AI agents.
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Big Data Processing Toolkit
Core big data processing toolkit for data teams. Includes Polars, Dask, Vaex for large-scale data processing, ETL pipelines, and distributed computing. Use when working with datasets larger than memory, building data pipelines, or optimizing data processing performance.
ClaudeCodexData & Analytics
MARUCIE1
Agent skill
Data Engineering Command Center
Complete methodology for designing, building, operating, and
OpenClawData & Analytics
modbender18
Agent skill
Polars
Polars fast DataFrame library. Use for fast data processing.
ClaudeCodexCursorData & Analytics
G1Joshi15
Agent skill
Configure MLForecast with LightGBM and Polars for Weekly Time Series
Configures an MLForecast pipeline using LightGBM on Polars DataFrames for weekly time series forecasting. Includes specific lag features (1,2,3,6,12), rolling window statistics (mean/std), and date features, while avoiding expanding means and handling Polars-specific date attribute errors.
OpenClawData & Analytics
ECNU-ICALK610
Agent skill
Polars MSTL Decomposition Data Preparation
Prepare a Polars DataFrame for MSTL decomposition by splitting it into training and validation sets per unique ID, then extracting trend and seasonal components using StatsForecast.
OpenClawData & Analytics
ECNU-ICALK610
Agent skill
Polars Data Cleaning for Box-Cox Transformation
Use Polars to clean a specific column for Box-Cox transformation by counting and replacing negative values with zero, and counting and replacing zero values with a small constant (e.g., 0.01).
ClaudeCodexCursorData & Analytics
ECNU-ICALK610
Agent skill
statsforecast_ensemble_pipeline_with_visualization
Executes a comprehensive time series forecasting pipeline using StatsForecast and Polars, featuring 52-week seasonality, specific cross-validation parameters (h=5, n_windows=10), loop-safe ensemble aggregation, WMAPE calculation, non-negative constraints (including intervals), visualization, and ...
ClaudeCodexOpenClawData & Analytics
ECNU-ICALK610
Agent skill
Time Series Imputation Feasibility Analysis
Analyze the feasibility of imputing missing data for short time series by checking date alignment with similar series based on shared key columns using Polars.
ClaudeCodexOpenClawData & Analytics
ECNU-ICALK610
Agent skill
Time Series Feature Extraction Pipeline for Polars Data
Aggregates raw sales data into a panel format using Polars, converts to Pandas, and extracts time series features using tsfeatures to analyze seasonality.
OpenClawData & Analytics
ECNU-ICALK610
Agent skill
time_series_length_range_filtering
Refactor and execute Polars code to filter time series data by specific length thresholds or ranges, exclude specific IDs, and generate summary counts while ensuring temporal sorting.
ClaudeCodexOpenClawData & Analytics
ECNU-ICALK610
Agent skill
Extract Time Series Seasonality Features using tsfeatures
Extracts seasonality features (specifically STL features) from a panel time series dataset to determine the optimal season length for forecasting models. Handles conversion from Polars to Pandas and ensures correct data formatting.
ClaudeCodexOpenClawData & Analytics
ECNU-ICALK610
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