Skill UI

A guide to the Swift 6.2 concurrency model, which mandates default single-threaded execution to eliminate accidental data races. Learn how to use MainActor for isolated consistency and utilize the @concurrent attribute for explicitly offloading CPU-intensive tasks to background threads, ensuring safe and predictable application architecture.

A comprehensive guide to building high-performance, scalable UIs using the latest SwiftUI best practices. Covers advanced state management with @Observable, type-safe navigation using NavigationStack, view composition techniques, and crucial performance optimization tips for iOS and macOS development.

This guide details the architectural and implementation patterns for building modular applications or microservices using the tinystruct Java framework. It covers core concepts like using the @Action annotation for dual routing (CLI/HTTP), managing request state with Context, and using native Builder for JSON serialization, ensuring a lightweight and structured development environment.

A comprehensive guide covering best practices for the Vite build tool. Learn how to configure advanced features such as environment variables, plugins, HMR, dependency pre-bundling, and optimizing the final production build for modern web applications.

A comprehensive guide covering modern Vue.js 3 development patterns. It details using the Composition API, structuring components, implementing reusable composables, managing global state with Pinia, handling routing, and adopting SSR patterns for Vue, Nuxt, and Vite projects.

This skill provides comprehensive integration with the X (Twitter) API, enabling users to programmatically post, read, search, and analyze tweets and timelines. It covers essential authentication patterns (OAuth 2.0 and OAuth 1.0a), rate limit handling, and best practices for building robust X integrations and bots.

This utility is designed to reconcile the ADR (Architecture Decision Record) index when source files have been deleted or modified, preventing the accumulation of stale or dangling reference rows. Unlike simple upserts, this tool performs a hard purge of the entire index namespace (adr-patterns and adr-edges) and then fully rebuilds the index from the files currently present on disk. It is crucial for maintaining data integrity after deletions.

Hallmark is a specialized design skill for AI coding assistants, designed to ensure that generated UIs look genuinely crafted, not machine-generated. It combats the 'AI-slop' aesthetic by mandating structural variety. Users can leverage it for fresh greenfield page builds, auditing existing designs against anti-patterns, redesigning visuals while preserving component architecture, or extracting core design DNA from URLs and screenshots. It is a comprehensive tool for professional UI/UX refinement.

This skill generates detailed, multi-dimensional buyer personas that go far beyond basic demographics. It captures psychographic drivers, jobs-to-be-done (JTBD), behavioral patterns, and purchase objections. Use it to inform comprehensive marketing strategies, content creation, and product positioning for B2B or B2C audiences.

This tool performs deep customer cohort analysis to understand retention patterns, lifetime value (LTV), and the long-term impact of various acquisition channels and initial behaviors. Users can segment customers by time, source, or revenue tier to identify high-value groups, optimize onboarding, and improve overall customer retention strategies. Ideal for SaaS, eCommerce, and B2B businesses tracking customer lifecycle.

This guide provides a rigorous framework for defending causal identification claims in empirical microeconomics, tailored for top-tier journals like AEJ: Applied. It covers modern techniques and anti-patterns for RCTs, Difference-in-Differences (DiD), Regression Discontinuity (RDD), and Instrumental Variables (IV), ensuring the mapping from variation to the causal estimand is explicit, defensible, and falsifiable.

This comprehensive guide details the structured method for drafting author responses to peer reviewers' comments for major conferences like AISTATS. It covers best practices for addressing statistical validity, novelty, and technical concerns in a constrained, anonymous, text-only format. Learn how to triage objections, anchor claims to existing evidence, and handle specific statistical pushback patterns.