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Search ACH , found 22 results

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Apache Airflow DAG Best Practices

airflow-dag-patterns

sickn33/antigravity-awesome-skills

A comprehensive guide to building production-ready Apache Airflow Directed Acyclic Graphs (DAGs). This skill covers best practices for operators, sensors, testing, deployment, and designing robust data pipelines. Use this when orchestrating complex workflows, managing ETL processes, or ensuring reliable batch job execution in a production environment.

NFT Rarity Analyzer

analyzing-nft-rarity

jeremylongshore/claude-code-plugins-plus-skills

Calculates NFT rarity scores, ranks tokens, and exports JSON/CSV data by ingesting OpenSea metadata so collectors or analysts can compare collections, inspect tokens, and use multiple algorithms plus caching for thorough rarity research.

Scientific Research And Analysis Skills

claude-scientific-skills

sickn33/antigravity-awesome-skills

This skill provides comprehensive guidance and established patterns for conducting rigorous scientific research and complex data analysis. It helps users structure their thinking process, ensuring a systematic and methodical approach to scholarly inquiry. Ideal for academic projects, literature reviews, and complex data interpretation.

AutoML Pipeline Builder

building-automl-pipelines

jeremylongshore/claude-code-plugins-plus-skills

Builds AutoML pipelines by analyzing user requests, generating code for data preparation, model selection, hyperparameter tuning, validation, and metrics, then documenting artifacts for streamlined automated machine learning workflows.

Advanced Data Science Expert

sickn33/antigravity-awesome-skills

Provides expert guidance on advanced analytics, machine learning, and statistical modeling, covering the full data science workflow from exploratory analysis to production-ready models and stakeholder reporting.

Machine Learning Model Evaluation

evaluating-machine-learning-models

jeremylongshore/claude-code-plugins-plus-skills

Provides detailed evaluation of machine learning models using plugin metrics to assess accuracy, precision, recall, F1, and other key indicators, helping users compare models and validate performance before deployment.

Feature Importance Analyzer

feature-importance-analyzer

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance on assessing feature importance for machine learning training, covering data prep, model training, tuning, and experiment tracking while generating production-ready code, configurations, and validation instructions for best-practice compliance.

Automated Data Preprocessing

preprocessing-data-with-automated-pipelines

jeremylongshore/claude-code-plugins-plus-skills

This skill builds and executes automated pipelines to clean, validate, and transform data for machine learning, covering ETL workflows, error handling, and quality reporting so Claude can deliver analysis-ready datasets.

Apache Spark Optimization

spark-optimization

sickn33/antigravity-awesome-skills

Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.

Dataset Splitter Tool

splitting-datasets

jeremylongshore/claude-code-plugins-plus-skills

Automates splitting datasets into training, validation, and test subsets by generating and running Python code so you can quickly prepare data for machine learning model training and evaluation.

Machine Learning Training

training-machine-learning-models

jeremylongshore/claude-code-plugins-plus-skills

Automates the end-to-end training of machine learning models by analyzing datasets, selecting suitable algorithms, tuning parameters, performing cross-validated training, and emitting performance metrics plus a saved model artifact.

Aeon Time Series ML

K-Dense-AI/claude-scientific-skills

Aeon is a scikit-learn compatible toolkit for time series machine learning, covering classification, regression, clustering, forecasting, anomaly detection, segmentation, similarity search, and feature extraction on temporal data.

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