a5c-ai/babysitter - Seite 8

cdc-pattern-implementer

Implements Change Data Capture patterns for real-time data integration

Quellsprache: Englisch

cost-optimizer-cloud-data-platforms

Analyzes and optimizes costs for cloud data platforms

Quellsprache: Englisch

data-catalog-enricher

Enriches data catalog entries with automated metadata

Quellsprache: Englisch

data-lineage-mapper

Extracts and maps data lineage from various sources including SQL, dbt, Airflow, and Spark, generating comprehensive lineage graphs for impact analysis.

Quellsprache: Englisch

data-quality-profiler

Profiles data assets to assess quality dimensions, detect anomalies, and generate comprehensive data quality reports with actionable recommendations.

Quellsprache: Englisch

dbt-project-analyzer

Analyzes dbt projects for best practices, performance, maintainability, and generates actionable recommendations for improvement.

Quellsprache: Englisch

dimensional-model-validator

Validates dimensional models against Kimball methodology best practices

Quellsprache: Englisch

feature-engineering-optimizer

Optimizes feature engineering pipelines and feature store configurations

Quellsprache: Englisch

great-expectations-generator

Generates Great Expectations suites from data profiles and business rules

Quellsprache: Englisch

incremental-model-strategy-selector

Selects and configures optimal incremental model strategies

Quellsprache: Englisch

kafka-topic-designer

Designs and optimizes Apache Kafka topics and configurations

Quellsprache: Englisch

obt-design-optimizer

Designs and optimizes One Big Table (OBT) patterns

Quellsprache: Englisch

scd-implementation-generator

Generates Slowly Changing Dimension implementations across platforms

Quellsprache: Englisch

schema-evolution-manager

Manages schema evolution and compatibility across data systems

Quellsprache: Englisch

sql-query-optimizer

Analyzes and optimizes SQL queries across different data warehouse platforms (Snowflake, BigQuery, Redshift, Databricks) with platform-specific recommendations.

Quellsprache: Englisch

stream-processing-windowing-designer

Designs optimal windowing strategies for stream processing

Quellsprache: Englisch

alibi-explainer

Alibi explainability skill for counterfactual explanations, anchors, and trust scores.

Quellsprache: Englisch

arize-observability

Arize AI skill for production ML monitoring, embedding drift, and performance analysis.

Quellsprache: Englisch

bentoml-model-packager

BentoML skill for model packaging, serving, and containerization.

Quellsprache: Englisch

dvc-dataset-versioning

Dataset versioning skill using DVC for tracking data changes, managing data pipelines, and ensuring reproducibility.

Quellsprache: Englisch

evidently-drift-detector

Evidently AI skill for data drift detection, model performance monitoring, target drift analysis, and automated reporting for ML systems in production.

Quellsprache: Englisch

fairlearn-bias-detector

Fairness assessment skill using Fairlearn for bias detection, mitigation, and compliance reporting.

Quellsprache: Englisch

feast-feature-store

Feature store management skill for online/offline feature serving, feature registration, and training-serving consistency.

Quellsprache: Englisch

great-expectations-validator

Data quality validation skill using Great Expectations for schema validation, expectation suites, data documentation, and automated data quality checks in ML pipelines.

Quellsprache: Englisch

jupyter-notebook-executor

Jupyter notebook execution skill for running notebooks programmatically and extracting outputs.

Quellsprache: Englisch

kubeflow-pipeline-executor

Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.

Quellsprache: Englisch

lime-explainer

LIME-based local explanation skill for individual predictions across tabular, text, and image data.

Quellsprache: Englisch

mlflow-experiment-tracker

MLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.

Quellsprache: Englisch

model-card-generator

Model documentation skill for generating model cards following Google's model card framework.

Quellsprache: Englisch

optuna-hyperparameter-tuner

Optuna integration skill for automated hyperparameter optimization with advanced search strategies, pruning, multi-objective optimization, and visualization capabilities.

Quellsprache: Englisch

pandas-dataframe-analyzer

Automated DataFrame analysis skill for statistical summaries, missing value detection, data type inference, and memory optimization recommendations.

Quellsprache: Englisch

pytorch-trainer

PyTorch model training skill with custom training loops, gradient management, and GPU optimization.

Quellsprache: Englisch

ray-distributed-trainer

Distributed computing skill using Ray for parallel training, hyperparameter search, and resource management.

Quellsprache: Englisch

seldon-model-deployer

Seldon Core deployment skill for model serving, A/B testing, and canary deployments on Kubernetes.

Quellsprache: Englisch

shap-explainer

SHAP-based model explainability skill for feature attribution, summary plots, and interaction analysis.

Quellsprache: Englisch

sklearn-model-trainer

Scikit-learn model training skill with cross-validation, hyperparameter tuning, pipeline construction, and model serialization. Enables automated ML model development using scikit-learn's comprehensive toolkit.

Quellsprache: Englisch

tensorflow-trainer

TensorFlow/Keras model training skill with callbacks, distributed strategies, and TensorBoard integration.

Quellsprache: Englisch

wandb-experiment-tracker

Weights & Biases integration skill for experiment tracking, hyperparameter sweeps, and artifact versioning.

Quellsprache: Englisch

whylabs-monitor

WhyLabs integration skill for ML observability, profile logging, and anomaly detection.

Quellsprache: Englisch

accessibility-test-runner

Run accessibility audits with axe-core and screen reader testing for desktop applications

Quellsprache: Englisch