Skill UI

This automated workflow performs a comprehensive review against the AWS Well-Architected Framework (WAF). It scans IaC definitions (Terraform, CloudFormation, CDK) and deployed resources to identify compliance gaps, security risks, and optimization opportunities across six core pillars. Findings are structured and automatically generated as actionable GitHub issues with remediation code examples.

Unship is a dedicated local workflow for front-end developers to compare multiple AI-generated UI alternatives (such as layouts, copy, or flows) directly within a running application environment. Instead of committing to one generated version, it adds temporary source-level variants, allowing for visual comparison. After the user selects the final version, the skill automatically cleans up all unused temporary code and attributes, ensuring a clean, production-ready codebase. Note: This tool is for local iteration only, not for production A/B testing or analytics.

This skill performs comprehensive governance auditing of Fabric and Power BI tenant settings. It compares current configurations against a defined baseline, surfaces critical configuration drift, enumerates delegated overrides at capacity, domain, or workspace scope, and investigates associated Entra security groups. It provides grounded, actionable intelligence for complex governance decisions.

This skill provides expert guidance on writing and executing C# scripts to manipulate Power BI semantic model metadata using Tabular Editor. It enables advanced automation for bulk operations, managing calculation groups, setting security roles (RLS/OLS), and automating complex model changes via the TOM API. Supports both TE2 and TE3 environments.

Provides expert guidance for connecting to a local Power BI Desktop tabular model using PowerShell's Tabular Object Model (TOM) and ADOMD.NET. This skill enables model enumeration, executing complex DAX queries, modifying metadata (fields, measures, parameters), and managing the report canvas state via the Desktop Bridge. It is critical for direct model interaction when external CLIs are unavailable.

Provides comprehensive skills and references for writing, debugging, and optimizing DAX within semantic models. It guides users through systematic performance tuning using a tiered framework, covering engine internals, best practices, and profiling techniques for both local and remote models.

This skill provides tools to audit, enforce, and standardize Power BI report themes. It addresses 'formatting debt' by centralizing bespoke visual overrides into the theme JSON, ensuring global consistency. Use it when reports suffer from formatting inconsistency, or when manual visual formatting has cluttered the visual JSON, allowing developers to maintain a clean, scalable report structure.

Details the PBIP (Power BI Project) format, which converts the opaque PBIX binary into a clear, structured, and editable set of text files. This guide covers project structure, cross-cutting operations (like renaming and forking), and the technical differences between Thick and Thin reports, enabling better Git integration and multi-author collaboration.

A comprehensive CLI tool for programmatically exploring, building, formatting, and managing Power BI reports. It supports the entire report lifecycle, including connecting to semantic models, running validations, creating mockups, and publishing reports to Fabric workspaces for reliable and structured report development.

A comprehensive reference for the Power BI Enhanced Report (PBIR) JSON format. This skill details the structure of report metadata, including visual configurations (visual.json), report-level settings, theme inheritance, and complex formatting rules. It is essential for developers needing to read, interpret, or programmatically interact with the internal workings and schema of Power BI reports.

A comprehensive guide for authors and developers on managing, writing, and validating Power Query M expressions within semantic model partitions. Covers critical concepts such as Query Folding for performance optimization, best practices for filtering and type handling, and advanced techniques for testing M code using the Power Query API.

This guide details how to integrate R code, primarily using the powerful ggplot2 library, into Power BI reports. It enables the creation of advanced, static, and publication-quality statistical visualizations. The process covers the technical workflow, including setting up the JSON structure, writing the mandatory R script (e.g., using `print(p)`), handling data injection, and adhering to best practices for professional BI reporting.