Skill UI

This workflow systematically analyzes deployed AWS resources and Infrastructure-as-Code (IaC) definitions. It collects usage metrics from CloudWatch and Cost Explorer to identify over-provisioning, unused resources, and inefficient configurations (e.g., right-sizing EC2, S3 lifecycle policies). It generates actionable cost optimization recommendations and creates structured GitHub issues for tracking and implementing savings.

This comprehensive workflow analyzes the health status of various AWS resources (EC2, Lambda, RDS, DynamoDB, etc.). It uses AWS CLI to diagnose potential issues by analyzing CloudWatch logs, metrics, and performance data. The process culminates in classifying root causes and generating actionable, tiered remediation plans (Immediate, Short-term, Long-term) to ensure system resilience and stability.

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 local development workflow designed to allow users to compare multiple temporary UI alternatives (variants) generated by AI coding agents directly within a running application's source code. It injects temporary source-level variants and provides a local browser picker for judgment. After the user selects a winner, it cleans up the losing code, ensuring a clean codebase before shipping. This tool is for local iteration, not production A/B testing or analytics.

This skill provides a comprehensive, step-by-step workflow for generating complete Power BI reports from scratch. It guides the user through model discovery, KPI selection, page layout, visual placement, data binding, and publishing, offering rich control over the entire reporting lifecycle using the pbir command-line interface.

This comprehensive guide provides advanced skills and references for writing, debugging, and systematically optimizing DAX in semantic models. It covers deep architectural topics, including engine internals, multi-tiered optimization workflows, and best practices for performance profiling. Use it to troubleshoot slow queries and ensure robust data model performance across Power BI Desktop and Fabric Service.

Deneb is a certified custom visual for Power BI, enabling users to embed and author complex, declarative data visualizations using Vega and Vega-Lite specifications. This skill guides the entire PBIR workflow, covering spec writing, data binding rules, complex JSON injection (including escaping), and validation, allowing for advanced control beyond standard Power BI charts.

A comprehensive guide and reference for using the Fabric Command Line Interface (`fab`) to programmatically manage all aspects of Fabric and Power BI service workspaces, items, and configurations. Covers authentication, searching, data querying, permission management, and advanced deployment workflows.

This skill traces downstream dependencies from a core semantic model to all connected reports and assets across multiple Fabric workspaces. It is essential for impact analysis before making structural changes, auditing data flow, or mapping cross-workspace report connections. Use it to identify which reports rely on a specific dataset, ensuring minimal disruption during development or maintenance.

This skill enables the creation of advanced, highly customized visualizations directly within Power BI reports (PBIR). By utilizing powerful Python libraries like Matplotlib and Seaborn, users can process data via pandas DataFrames and render complex statistical charts (e.g., bar charts, line graphs) into static PNG images. It provides a structured workflow, covering script injection, validation, and best practices, significantly enhancing the depth and professionalism of business reports.

This skill guides the creation of advanced, publication-quality statistical visualizations within Power BI using the R programming language, primarily leveraging the ggplot2 package. It details the entire workflow, from structuring the visual JSON (using `pbir-format`) to writing the mandatory `ggplot2` script and correctly injecting it into the report. Ideal for data scientists needing to render complex, customized charts that surpass standard Power BI visuals. Static PNG output is generated, ensuring high fidelity for reports.

This guide provides a comprehensive workflow for managing the refresh lifecycle of semantic models and datasets in Power BI/Fabric. It details how to use the enhanced REST API and Fabric CLI to trigger specific refresh types (e.g., full, dataOnly, calculate), validate data baselines, monitor status, and handle post-refresh validation, ensuring data integrity and proper pipeline orchestration.