Skill UI

A comprehensive guide to architectural patterns for building scalable, production-ready backend services using Java and Spring Boot. Covers essential topics including RESTful API design, layered architecture (Controller, Service, Repository), data persistence (JPA), caching, asynchronous processing, robust error handling, and middleware filtering.

This pattern demonstrates how to build a robust, thread-safe data persistence layer in Swift using the 'actor' model. It combines fast in-memory caching with reliable file-backed storage, automatically eliminating data races and the need for manual locks. Ideal for offline-first applications and managing shared mutable state in modern Swift concurrency.

Generate executive-ready summaries of marketing performance, focusing on strategic business metrics like ROI, CAC, and LTV. This tool synthesizes complex data across single brands or entire portfolios into actionable, high-level insights. Use it when preparing board reports, assessing portfolio ROI, or determining strategic direction for C-suite decision-makers (CEO, CMO, Board).

Design comprehensive customer journeys using state machine logic. This tool maps out every touchpoint, defines transitions based on customer behavior, incorporates branching logic for personalization, and simulates expected outcomes across multiple communication channels (email, SMS, social, etc.) before implementation. Ideal for optimizing acquisition, retention, and advocacy strategies.

This tool performs deep, multi-touch attribution analysis to calculate comprehensive Return on Investment (ROI), Return on Ad Spend (ROAS), and Customer Acquisition Cost (CAC) across all marketing channels. It supports various attribution models (e.g., linear, time-decay) and projects long-term value using LTV, providing data for budget optimization, executive reporting, and identifying efficiency gaps.

A powerful skill designed to analyze raw ad campaign performance data from platforms like Google, Meta, and LinkedIn. It goes beyond simple metrics reporting, providing deep diagnosis by identifying underperforming ads, pinpointing budget waste, and calculating the true Customer Acquisition Cost (CAC). It generates concrete, actionable recommendations for what to cut, scale, or test next, optimizing your ad spend and maximizing ROAS.

A comprehensive guide for researchers submitting to ASE (Automated Software Engineering). It details mandatory requirements for ensuring research reproducibility, covering the Data Availability Statement, providing anonymized and runnable tools, pinning system provenance (commits, versions, SHAs), and managing cached LLM outputs. Essential for passing rigorous peer review.

This guide outlines best practices for designing and executing Computer Aided Verification (CAV) empirical evaluations. It emphasizes ensuring evidence matches claims by using standard, pinned benchmark sets, selecting fair baselines, respecting equal resource limits, and employing rigorous reporting methods like cactus and scatter plots to establish technical soundness and performance.

Comprehensive guidelines for structuring and submitting reproducible AI/ML research papers for top-tier conferences. It details two modes: Mode 1 for theoretical/KR work (requiring full, explicit proofs in the supplement), and Mode 2 for empirical/ML work (requiring fixed seeds, cached outputs, and rigorous provenance pinning for datasets, models, and environments). The guide also covers best practices for maintaining double-blind anonymity and properly dividing content between the main body and the supplementary material.

A comprehensive guide for structuring environmental economics manuscripts, specifically tailored for high-impact journals. It teaches authors how to maintain a 'welfare-economics prose' standard, ensuring the crucial link between the environmental problem, the economic mechanism, and the policy implication is clearly and authoritatively presented. This prevents the paper from sounding like advocacy while retaining scientific rigor.

A specialized guide for refining scholarly manuscripts intended for public policy and marketing journals. It teaches how to structure the introduction around the concrete policy problem, write an actionable 200-word abstract, and maintain a tone of evidence rather than advocacy. The goal is to ensure the prose is clear and highly readable for both academic experts and non-technical policy practitioners.

This diagnostic skill audits the entire local setup of Claude Code against several known, complex cache and cost bugs (CC#40524, B4, B5). It checks critical components including version compatibility, sentinel placeholders, session resuming logic, and attribution headers. Use this tool to ensure your development environment is optimized, stable, and minimizes unexpected operational costs and functional regressions.