Skill UI

This comprehensive guide provides expert strategies for structuring and auditing the "Related Work" section for top-tier NLP conferences (like ACL). It covers citation hygiene (Anthology vs. arXiv), maintaining temporal freshness against rapidly evolving baselines, and articulating clear technical contrasts to prove the novelty of your research. Essential for high-stakes academic publishing.

This guide provides comprehensive strategies for drafting and revising highly technical academic papers for top-tier conferences like ASPLOS. It focuses on structuring the core argument around cross-layer insights, ensuring claims are quantifiable and bounded, and optimizing the entire manuscript to survive rapid peer review and strict page limitations.

This comprehensive guide outlines established best practices for developing robust, high-quality applications using Helidon 4 (SE and MP) in Java 21+. It covers API migrations, project structure, dependency management, and architectural patterns for both MicroProfile and standalone services, ensuring adherence to modern Jakarta EE standards and scalable web development patterns.

This tool guides researchers in evaluating whether their economic project topic is suitably specialized and ambitious for elite, growth-focused academic journals. It helps users frame their research question around core growth mechanisms, such as human capital accumulation, endogenous growth theory, or institutional dynamics, ensuring the work meets the standard of a "first-order growth question."

A comprehensive guide for authors submitting to top-tier journals, detailing how to structure policy implication sections for open economies. It emphasizes shifting the focus from generic domestic policy lists to specific, evidence-based recommendations concerning international mechanisms such as trade tariffs, exchange rate elasticity, capital account management, and global value chains (GVCs).

This specialized tool analyzes Git diffs against a stated development intent to detect scope creep. It identifies overly broad pull requests, unrelated files, dependency additions, public API renames, or configuration changes. It guides users on whether changes should be kept, split into separate commits, or if the connection requires explicit justification, ensuring clean and focused code merges.

webmcpify is a specialized pipeline designed to make existing web applications agent-ready. It extracts user-facing functionality and exposes it as WebMCP tools, allowing AI agents to interact with the application via structured, reliable tool calls rather than fragile DOM scraping. The tool guides developers through detection, inventory, integration, verification, and healing phases to ensure robust AI interoperability.