Skill UI

This tool helps users manage and address review comments on open GitHub Pull Requests (PRs). It interacts with the GitHub CLI (gh) to fetch comments, guides the user through selecting which comments need fixes, and then applies the necessary changes, ensuring a structured approach to PR review.

A comprehensive guide to using the GitHub CLI (`gh`) for programmatic interaction with repositories. This tool allows users to list, manage, and review Pull Requests (PRs), create and triage issues, check CI/workflow status, and execute advanced API queries directly from the terminal, making it essential for scripting and automated DevOps workflows.

This comprehensive skill provides expert guidance for integrating with Google NotebookLM programmatically, covering both the `nlm` Command Line Interface (CLI) and Measurement/Control Plane (MCP) tools. Use it to automate workflows, manage notebooks, add diverse sources (URLs, YouTube, Drive), and generate various complex content types, such as reports, quizzes, mind maps, and videos. Essential for developers building upon NotebookLM's advanced research capabilities.

A specialized internal helper for deep meta-stack trace investigation in Python environments. This tool guides users through generating Python-specific root-cause checks, creating minimal reproducible test cases using pytest, and identifying precise targets for defensive patches (e.g., validation or guard clauses). It ensures robust debugging and testing practices.

This comprehensive guide and tool suite transforms web designs created in Stitch (HTML/CSS) into clean, production-ready React Native components. It meticulously maps HTML elements (like <div>, <button>) to native RN primitives (View, Pressable) and converts complex CSS styles (Flexbox, typography, shadows) into React Native's StyleSheet.create(). It guides developers to follow architectural best practices, including Atomic Design and data decoupling, for scalable cross-platform mobile development.

A comprehensive guide and tooling set for developing advanced custom visualizations in Power BI (PBIR) using Deneb. This skill guides users through authoring Vega and Vega-Lite specifications, handling complex JSON injection, data binding, and ensuring proper integration within Power BI reports. It is crucial for creating highly interactive and advanced BI dashboards.

A comprehensive guide for managing the entire lifecycle of tabular data models (Semantic Models) in Power BI/Analysis Services. It provides best practices and a tool cascade (CLI, TOM, TMDL) for designing, building, optimizing, refreshing, and auditing models. Use this skill when performing advanced model operations, optimizing performance, or ensuring data quality.

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.

Generates a comprehensive, structured audit based on WCAG 2.2 guidelines. This tool assesses UI and designs across perceivable, operable, understandable, and robust criteria, covering visual, motor, and cognitive accessibility. It produces a prioritized checklist with pass/fail assessments and specific, actionable remediation suggestions for developers and designers.

Generates comprehensive and structured developer handoff annotations for any Figma screen or component. This tool transforms raw visual designs into precise, buildable specifications, covering interactions, states (loading, error, success), accessibility requirements, and edge cases, ensuring developers receive everything needed for implementation.

Generates a complete, structured load and performance testing plan for any service. This skill guides the definition of test objectives, establishes measurable SLO thresholds (p99, error rate, throughput), and designs multi-scenario tests (Baseline, Stress, Spike, Soak). It is essential for teams needing to set clear pass/fail criteria, select appropriate tooling (k6, Locust), and integrate performance gates into CI/CD pipelines.

This comprehensive guide walks new engineers through setting up a complete local development environment from scratch. It covers all necessary prerequisites, including installing required tools (Git, Docker, Go, etc.), cloning repositories, configuring environment variables, and running initial tests. The goal is to ensure a consistent, working environment and allow new team members to start contributing code quickly and confidently.