productivity▌

Official API-based image generation. Supports OpenAI, Azure OpenAI, Google, OpenRouter, DashScope (阿里通义万象), MiniMax, Jimeng (即梦), Seedream (豆包) and Replicate providers.

Web-based game engine and game development using HTML5 Canvas, WebGL, and JavaScript. \n \n Covers 2D and 3D game creation with frameworks like Phaser, Three.js, Babylon.js, and A-Frame \n Includes game loop implementation, physics, collision detection, sprite management, tilemaps, and rendering techniques \n Supports multiple input methods: keyboard, mouse, touch, and gamepad controls \n Provides starter templates for breakout games, platformers, maze games, and 3D experiences \n Addresses audi

Simulates a complete international journal peer review process: automatically identifies the paper's field, dynamically configures 5 reviewers (Editor-in-Chief + 3 peer reviewers + Devil's Advocate) who review from four non-overlapping perspectives — methodology, domain expertise, cross-disciplinary viewpoints, and core argument challenges — ultimately producing a structured Editorial Decision and Revision Roadmap.

Available from the user's own Google Ads account:

Enterprise-grade Nest.js architecture guidance covering modules, dependency injection, testing, databases, and authentication. \n \n Diagnoses and resolves dependency injection issues, circular dependencies, and module configuration problems with proven solutions from 500+ real GitHub issues and Stack Overflow threads \n Covers full request lifecycle: middleware, guards, interceptors, pipes, and exception filters with correct execution order and async handling \n Provides testing strategies for

This skill enables precise extraction of tables from PDF documents using camelot - the gold standard for PDF table extraction. Handle complex tables with merged cells, borderless tables, and multi-page layouts with high accuracy.

Performant responsive images with srcset, sizes, lazy loading, and modern formats. \n \n Covers srcset width descriptors, sizes attribute patterns, and lazy loading rules optimized for Core Web Vitals (LCP, CLS) \n Includes picture element patterns for art direction, WebP/AVIF fallback chains, and fetchpriority configuration for hero images \n Provides six documented error patterns with fixes: missing width/height attributes, lazy-loading LCP images, density descriptors, missing alt text, aspect

Role: Portfolio Experience Designer

Real-user dogfooding with emotional friction tracking, click efficiency counting, and resilience testing to produce ranked audit reports. \n \n Supports three operating modes: UX Walkthrough (persona-based task completion), QA Sweep (systematic feature testing), and Targeted Check (focused area validation) \n Tracks emotional friction signals (trust, anxiety, confusion), click efficiency, form resilience (mid-navigation, back button, refresh), and asks \"would I come back?\" \n Three depth level

Creates comprehensive handoff documents that enable fresh AI agents to seamlessly continue work with zero ambiguity. Solves the long-running agent context exhaustion problem.