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 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.

An interactive skill designed to guide users through the process of generating, auditing, and improving Best Practice Analyzer (BPA) rules for Power BI semantic models. It follows a double-diamond discovery process, first gathering deep organizational context and model details, and then recommending tailored rules for validation, governance, and compliance.

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.

A comprehensive command-line interface (CLI) for the full lifecycle management of Power BI reports. This tool enables users to explore, create, format, validate, and publish reports using programmatic commands, supporting both Power BI Desktop integration and seamless publishing to Fabric. It is essential for automating report generation and ensuring data model integrity.

This skill acts as a comprehensive technical reference guide for the Power BI Enhanced Report (PBIR) JSON format. It meticulously details the complex internal schemas, patterns, and hierarchical rules governing report components, including `visual.json`, theme inheritance, field references, and report structure. It is essential for advanced developers who need to read, interpret, and generate valid PBIR metadata for deep report customization.

This skill acts as a goal-integrity governance layer for complex, high-risk, and multi-phase tasks. It ensures the agent remains strictly aligned with the user's original objective by generating formal Goal Contracts, Phase Checks, Deviation Notices, and Final Audits. Essential for robust backend development, API calls, and validation workflows, preventing silent goal drift.

Dep handles the entire journey from local code to production deployment. This skill automates containerization using Docker and docker-compose, establishes robust CI/CD pipelines (linting, testing, security scanning, deployment), manages environment variables and secrets, and generates Infrastructure as Code (Terraform/Pulumi) configurations. It ensures observability and provides rollback procedures.

This skill maps engineering changes (code diffs, architecture designs, IaC) to specific financial compliance controls, such as PCI-DSS v4.0 and MAS TRM. It generates an auditable report detailing compliance gaps, required evidence, and concrete remediation steps, helping teams catch violations before formal audits.

Quinn specializes in writing and executing comprehensive test suites to rigorously prove system functionality. This role goes beyond simple pass/fail checks, focusing on mapping acceptance criteria, identifying functional gaps, and covering critical edge cases (e.g., nulls, boundary values, error paths). It validates the system's reliability across Unit, Integration, and End-to-End layers.

This guide helps developers audit and clean up Vite + React projects initialized using the Lovable scaffolding tool. It systematically removes all boilerplate artifacts, including placeholder assets, dedicated dependencies (like lovable-tagger), generated documentation, and unnecessary components (e.g., unused Radix deps). The goal is to deliver a clean, fully owned, and production-ready codebase.