Skill UI

This utility converts a single, high-level objective into a comprehensive, step-by-step build plan suitable for complex, multi-agent, or multi-session engineering projects. It automatically handles dependency mapping, detects parallel steps, and structures each step with self-contained context briefs, ensuring any new agent can execute it without prior knowledge. Ideal for large-scale refactoring or feature development spanning multiple PRs.

A comprehensive framework for creating structured, clean, and highly accessible design systems. It defines foundational constraints, typography scales, color tokens, and component-level rules, ensuring consistency and usability across engineering and design teams. Focuses on achieving WCAG 2.2 AA compliance and implementation readiness.

A comprehensive guide for optimizing latency-critical systems, such as market data feeds, real-time dashboards, and streaming agents. It details structured methods for mapping 'hot paths,' tracking key metrics (p95, p99 latency, throughput, freshness), and implementing architectural improvements like caching and batching to ensure high performance and data freshness under load.

A comprehensive guide detailing advanced performance optimization patterns for React 18/19 and Next.js. Adapted from Vercel Engineering's best practices, this skill organizes 70+ critical rules across eight categories—including eliminating waterfalls, optimizing bundle size, improving server-side rendering, and managing client-side re-renders. Use this when developing, reviewing, or refactoring high-performance React applications.

This skill acts as an expert guide for creating comprehensive, implementation-ready design system documentation. It structures guidelines by defining foundational tokens (color, typography, spacing), detailing component anatomy, interaction states, and adhering to strict accessibility standards (WCAG 2.2 AA). Use it to ensure your design standards are consistent, technically sound, and actionable for engineering and design teams.

An interactive tool designed to discover, select, and assemble specialized teams of AI agents. It supports structured agent collections across different domains (e.g., Engineering, Marketing). Users select multiple roles for a specific task, and the skill launches them in parallel, synthesizing their independent findings into a unified report, including consensus and conflict analysis.

This skill provides comprehensive strategies for implementing sustainable business growth loops. It covers Product-Led Growth (PLG) optimization, designing viral loops, optimizing referral programs, and improving user retention mechanics. Use this when planning product launches, scaling user bases, or building complex acquisition funnels.

A comprehensive guide for authors targeting the ACM International Conference on the Foundations of Software Engineering (FSE). It helps assess manuscript fit, refine the scientific narrative, strengthen empirical evidence, and understand venue-specific requirements for SE foundations, tools, and AI applications. Use this to strategically position your research for top-tier SE conferences.

This comprehensive guide helps authors strategically position and refine manuscripts for top-tier UI/CS conferences like UIST. It covers core fit areas—including interactive techniques, AR/VR, and UI engineering—and provides detailed advice on structuring evidence, framing contributions, and meeting rigorous academic standards to maximize the paper's acceptance chances.

This skill guides authors in evaluating whether their chemical engineering manuscript meets the high standards of the AIChE Journal. It helps authors re-frame application-specific work into generalizable principles, focusing on fundamental scientific advances, rigorous modeling, and comprehensive experimental validation, ensuring the contribution transcends a single process.

This guide details the required process for authors responding to ASE (Automated Software Engineering) reviews. It distinguishes between the initial rebuttal and the formal, criteria-bound summary-of-changes required during a revision round. Key principles include maintaining double-anonymity, systematically addressing every reviewer criterion, and focusing on decision-critical points.

A comprehensive guide for researchers and reviewers designing or auditing Automated Software Engineering (ASE) evaluations. It outlines the necessary rigor, including the use of real subject systems, establishing fair and runnable tool baselines, performing targeted ablations (especially for LLMs), defining explicit oracles, and ensuring full data and model provenance to guarantee reproducible and scientifically sound results.