Skill UI

This skill helps optimize and verify latency-sensitive systems such as real-time dashboards, market data feeds, and streaming agents. It involves tracking p50/p95/p99 latency, freshness age, and queue depth. You will map hot paths and run live readbacks to ensure performance. Use this when throughput or data freshness matters in engineering contexts.

This skill acts as an expert design system guideline author for the Roku brand. It provides structured, implementation-ready guidance covering style foundations, component anatomy, accessibility (WCAG 2.2 AA), and advanced authoring workflows. It ensures consistent, developer-first UX/UI design principles for modern dashboards.

This skill guides the creation of C-suite level marketing dashboards. It translates complex operational data (like ad spend, channel performance) into clear, actionable business outcomes (revenue influence, market share). Ideal for CMO reports, board presentations, and strategic decision-making, ensuring senior leaders can make fast, informed choices without being overwhelmed by detail.

Automatically creates and configures live Google Looker Studio dashboards by connecting diverse marketing data sources (GA, Ads, CRM, etc.). The system adapts the layout, KPIs, and visualizations based on the specified business model (SaaS, eCommerce, B2B, Agency), providing real-time, self-service visibility into key performance indicators.

A comprehensive tool for distributing marketing tasks to team members. It intelligently matches tasks based on roles, channel expertise, regional alignment, and current capacity. Features include assigning new tasks with smart matching, viewing assignments, and generating workload dashboards to prevent resource bottlenecks and skill mismatches.

This guide provides strict guidelines for designing, auditing, and reporting empirical or simulation experiments, particularly for theoretical machine learning and statistics papers. It emphasizes mapping every empirical claim to specific evidence, ensuring statistical rigor (e.g., reporting uncertainty, baselines, seeds), and validating theoretical assumptions rather than optimizing for leaderboards. Essential for research reproducibility.

This skill guide teaches how to use a CLI tool to programmatically create, modify, and validate complex Excel (.xlsx) files. It covers everything from building robust financial models and dashboards to parsing raw data and ensuring the output adheres to professional standards, including zero formula errors and proper print layouts. Ideal for data engineering and business intelligence workflows.

Turns product data, packaging evidence, platform, audience and visual references into executable ecommerce visual plans: conversion strategy, style lock, main-image and detail-page storyboards, in-image copy, design briefs, image-gen prompts, plus evidence and compliance checks. Covers Taobao, JD, Amazon, Shopify, TikTok Shop and more; no fabricated claims or auto-publishing.

Researches US employment law across federal, state, and city levels. Produces structured research notes that separate primary law sources from secondary reporting. Covers enacted laws, pending legislation, litigation, and multi-state trackers. Supports scoping by jurisdiction and recency, ideal as a precursor to memos or dashboards.

Use to clarify distinctions between accounting and finance concepts such as cash flow vs profit, EBIT vs EBITDA, CapEx vs OpEx, debt vs equity, and ROI vs ROE. Ideal for calculators, due diligence, dashboards, investor memos, and client-facing financial explanations.

A comprehensive guide to building responsive and navigable user interfaces (UIs) in Godot 4.x. Learn to utilize Control nodes, Anchors for adaptive layout, various Container nodes (VBox, HBox, Grid), and Theme resources for consistent styling. This skill covers anchoring, layout management, focus navigation for controllers/keyboards, and signal handling for HUDs, menus, and dialog boxes.

This skill analyzes local Q&A session JSONL files to produce a complete, auditable weekly report in Markdown format. It supports generating routine weekly summaries, comparing performance across consecutive time windows, and identifying key trends and risks. The output is a single, self-contained Markdown file designed to provide sufficient aggregates and structure for downstream documentation rendering (e.g., Feishu or whiteboards), without needing external data sources or APIs.