Skill UI

A comprehensive guide and API wrapper for triggering, monitoring, and validating semantic model refreshes in Power BI/Fabric. It supports various refresh types (full, data-only, calculate-only, etc.), enabling granular control over data reloading, recalculation, and performance troubleshooting using the Fabric CLI and Enhanced Refresh API.

The Tabular Editor CLI (`te`) is a cross-platform, command-line utility for managing the entire lifecycle of semantic models (TMDL/BIM). It allows users to scaffold, inspect, validate, deploy, refresh, test, and query data models against various services, including Power BI, Fabric, and Azure AS, directly from the terminal. Ideal for automated workflows and CI/CD pipelines.

Execute arbitrary PySpark or pure Python code directly on Fabric Spark compute using the Livy API. This method ensures that no notebook artifacts are created or persisted, making it ideal for automated, ephemeral data transformations and ETL pipelines. It provides full read/write access to Delta lakehouse tables.

A comprehensive guide on querying data stored in Fabric's OneLake using DuckDB. This skill supports two operational modes: local command line interface (CLI) for ad-hoc analysis, and in-notebook mode for seamless integration within Fabric notebooks. It can read Delta Lake tables and various raw formats (Parquet, CSV, JSON), making it ideal for data exploration, validation, and schema discovery in a read-only fashion.

A powerful tool for conversational time tracking. Users simply report time spent in plain language (e.g., "read papers 2h, gym 1h"), and the skill parses this into structured rows (Activity, Minutes, Date) within your Notion database. It ensures data integrity by flagging any uncertain details as 'To-confirm' rows and batch-asking questions, preventing data fabrication. Use it for logging daily activities or performing time reviews.