{"name":"josiahsiegel-adf-master-plugins-adf-master-2","owner":{"name":"ClaudePluginHub"},"plugins":[{"name":"josiahsiegel-adf-master-plugins-adf-master-2","source":{"source":"github","repo":"josiahsiegel/claude-plugin-marketplace"},"description":"Complete Azure Data Factory expertise for pipeline JSON development, validation, and optimization (2025-2026). This plugin should be used for ADF pipeline creation, activity configuration, linked services, datasets, triggers, expressions, CI/CD, Microsoft Fabric integration, Databricks orchestration, ML pipeline patterns, and debugging.","version":"4.3.0","strict":true,"keywords":["adf","azure-data-factory","datafactory","azure","pipeline-json","activity-types","copy-activity","foreach-activity","lookup-activity","execute-pipeline","web-activity","databricks-job","linked-services","managed-identity","service-principal","expression-functions","triggers","tumbling-window","schedule-trigger","event-trigger","datasets","parquet","delimited-text","validation","nesting-rules","resource-limits","cicd","arm-templates","github-actions","azure-devops","fabric","fabric-lakehouse","fabric-warehouse","onelake","invoke-pipeline","variable-libraries","synapse","adls-gen2","blob-storage","sql-database","snowflake","rest-api","sftp","machine-learning","azure-ml","batch-endpoints","azure-ai-services","mlflow","feature-engineering","data-archival","anomaly-detection","sentiment-analysis","ml-scoring","training-pipeline","2025","2026"],"category":"development"}]}