MikeTreml/MissionControl - 33페이지

a-b-test-statistical-analyzer

Performs statistical analysis for A/B testing experiments

원문 언어: 영어

airflow-dag-analyzer

Analyzes, validates, and optimizes Apache Airflow DAGs for reliability, performance, and best practices adherence.

원문 언어: 영어

apache-spark-optimizer

Analyzes and optimizes Apache Spark jobs for performance, cost, and resource utilization

원문 언어: 영어

bi-semantic-layer-generator

Generates semantic layer definitions for BI tools from dimensional models

원문 언어: 영어

cdc-pattern-implementer

Implements Change Data Capture patterns for real-time data integration

원문 언어: 영어

cost-optimizer-cloud-data-platforms

Analyzes and optimizes costs for cloud data platforms

원문 언어: 영어

data-catalog-enricher

Enriches data catalog entries with automated metadata

원문 언어: 영어

data-lineage-mapper

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

원문 언어: 영어

data-quality-profiler

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

원문 언어: 영어

dbt-project-analyzer

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

원문 언어: 영어

dimensional-model-validator

Validates dimensional models against Kimball methodology best practices

원문 언어: 영어

feature-engineering-optimizer

Optimizes feature engineering pipelines and feature store configurations

원문 언어: 영어

great-expectations-generator

Generates Great Expectations suites from data profiles and business rules

원문 언어: 영어

incremental-model-strategy-selector

Selects and configures optimal incremental model strategies

원문 언어: 영어

kafka-topic-designer

Designs and optimizes Apache Kafka topics and configurations

원문 언어: 영어

obt-design-optimizer

Designs and optimizes One Big Table (OBT) patterns

원문 언어: 영어

scd-implementation-generator

Generates Slowly Changing Dimension implementations across platforms

원문 언어: 영어

schema-evolution-manager

Manages schema evolution and compatibility across data systems

원문 언어: 영어

sql-query-optimizer

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

원문 언어: 영어

stream-processing-windowing-designer

Designs optimal windowing strategies for stream processing

원문 언어: 영어

alibi-explainer

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

원문 언어: 영어

arize-observability

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

원문 언어: 영어

bentoml-model-packager

BentoML skill for model packaging, serving, and containerization.

원문 언어: 영어

dvc-dataset-versioning

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

원문 언어: 영어

evidently-drift-detector

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

원문 언어: 영어

fairlearn-bias-detector

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

원문 언어: 영어

feast-feature-store

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

원문 언어: 영어

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.

원문 언어: 영어

jupyter-notebook-executor

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

원문 언어: 영어

kubeflow-pipeline-executor

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

원문 언어: 영어

lime-explainer

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

원문 언어: 영어

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.

원문 언어: 영어

model-card-generator

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

원문 언어: 영어

optuna-hyperparameter-tuner

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

원문 언어: 영어

pandas-dataframe-analyzer

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

원문 언어: 영어

pytest-ml-tester

ML-specific testing skill using pytest with fixtures for data, models, and predictions.

원문 언어: 영어

pytorch-trainer

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

원문 언어: 영어

ray-distributed-trainer

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

원문 언어: 영어

seldon-model-deployer

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

원문 언어: 영어

shap-explainer

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

원문 언어: 영어