Skill UI

Act as an expert design-system guideline author specializing in the Shadcn aesthetic. This skill generates comprehensive, implementation-ready design system documentation, covering foundational tokens (color, spacing, typography), component anatomy, interaction states (hover, focus, error), and strict accessibility requirements (WCAG 2.2 AA). It enforces semantic consistency and provides structured guidelines for developers and designers to build robust, clean UI components.

A self-hosted, semantic memory service designed for AI agents. It allows agents to save worklogs, decisions, and notes, and recall this knowledge across sessions based on meaning rather than exact keywords. Using pgvector and structured workspaces, it maintains persistent, context-aware knowledge bases, making it ideal for collaborative AI projects.

This skill provides expert, guided assistance for creating, auditing, and improving Best Practice Analyzer (BPA) rules for Power BI semantic models. It utilizes an interactive, double-diamond discovery process to gather deep context about your organizational standards, model structure, and business goals before generating tailored, reusable data validation and governance rules.

A comprehensive guide for using C# scripting within Tabular Editor to programmatically manipulate and automate Power BI semantic models. This skill supports bulk metadata operations, creating calculation groups, managing security roles, and advanced data model restructuring using the TOM API and LINQ.

This skill provides comprehensive guides and references for writing, debugging, and systematically optimizing DAX formulas within semantic models. It covers advanced topics including systematic performance optimization workflows, engine internals (like xmSQL), and best practices for both local (Power BI Desktop) and remote (Fabric/XMLA) model environments, ensuring efficient data calculation and query performance.

This skill provides comprehensive, expert guidance for utilizing the Fabric Command Line Interface (CLI) using the `fab` tool. It enables programmatic interaction with the entire Fabric and Power BI service cloud environment, including workspaces, semantic models, data assets, and configurations. Use it to automate tasks like authentication, metadata retrieval, data querying (DAX, T-SQL, DuckDB), and resource management, ensuring best practices and error handling are maintained.

This tool analyzes and maps the downstream dependencies of a semantic model across multiple Fabric workspaces. It is crucial for performing impact assessments before making modifications, auditing connected reports, or mapping cross-workspace data flows. It automates the lineage discovery process, providing comprehensive visibility into which reports rely on a specific data source.

PBIP is the developer-mode file format for Power BI, transforming the opaque PBIX binary into a human-readable, folder-based structure. This structure is crucial for enabling robust source control (Git diffing), external editing using specialized tools like VS Code, and seamless multi-author collaboration. It standardizes how reports and semantic models are structured for professional BI development pipelines.

A comprehensive guide to authoring, optimizing, and validating Power Query M expressions used within semantic model partitions. This resource covers crucial topics such as maintaining query folding for performance, applying early filtering and column pruning, and leveraging the Power Query API for robust data validation and debugging.

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.

Design, build, refresh, and audit Power BI / Analysis Services tabular semantic models from the terminal: star schema, relationships, measures, calculation groups, RLS roles, incremental refresh, VertiPaq optimization, and Copilot readiness.

An interactive workflow for auditing and standardizing naming conventions (tables, columns, measures) in Power BI semantic models (TMDL). It ensures names are human-readable, consistent, and aligned with core business terminology, addressing technical issues like abbreviations, mixed casing, and inappropriate technical prefixes.