Skill UI

This skill guides the detection and recovery of exposed version-control system (VCS) metadata, including paths for Git, SVN, and Mercurial, as well as common backup and configuration files. It is essential for authorized penetration testing when assessing an application's security posture against information leaks. Techniques include probing specific directories (e.g., /.git/HEAD) and analyzing status codes (e.g., 403 vs 404) to confirm exposure.

This playbook provides expert techniques for reverse engineering custom virtual machines and proprietary bytecode. It guides users through identifying dispatchers (switch/table), mapping unknown opcodes, reconstructing custom ISAs, and writing dedicated disassemblers. Essential for solving complex CTF challenges, analyzing protected software, or tackling custom runtime environments.

This skill provides a comprehensive framework for auditing and improving the efficiency of GitHub Codespaces environments. It helps users identify waste sources like oversized devcontainers, inefficient machine types, and poorly scoped prebuilds. By following a structured workflow, users can reduce monthly cloud spending, drastically cut startup times, and maintain optimal development throughput.

This skill transforms raw API specifications, Postman collections, or verbal descriptions into clean, developer-facing documentation. It produces comprehensive guides including detailed endpoints, parameters, request/response schemas, standardized error codes, and runnable code examples, making it ideal for developer portals or README files.

This skill is designed to accurately convert complex, Hugo-managed documentation sites and content into standard Markdown format. It goes beyond generic knowledge by inspecting the entire local Hugo repository structure, including `hugo.toml`, custom shortcodes, layouts, and content files. It preserves the original content's semantic meaning while materializing Hugo-specific constructs into clean Markdown.

This comprehensive guide outlines industry best practices for designing robust and consistent REST APIs. It covers proper resource naming conventions, standardized HTTP method semantics, detailed HTTP status codes (e.g., 201, 404, 422), structured response formats (including pagination and links), and advanced strategies like cursor-based pagination. Essential for building scalable and maintainable APIs.

This guide outlines a systematic methodology for conducting comprehensive literature reviews in economics. It moves beyond simple summarizing by teaching researchers how to build an evidence matrix, ensuring systematic coverage by sweeping databases (JEL codes, keywords, working papers). It is essential for preparing high-impact academic reviews that must prove exhaustive coverage and synthesize complex, often conflicting, findings.

This skill provides a comprehensive guide for authors targeting top-tier Chinese academic journals, such as the Chinese Review of Financial Studies. It analyzes the journal's specific academic scope (finance theory, capital markets, etc.), required manuscript structure, submission formatting (abstract length, JEL codes, reference rules), and common pitfalls. Use it pre-submission to ensure your paper meets the high academic standards required for CSSCI-level publication.

A comprehensive guide for authors preparing manuscripts for submission to The Economic Journal (EJ). It covers format requirements, single-blind review guidelines, author-date referencing, JEL codes, data/code policy (Zenodo), and the detailed submission process via Editorial Express. Use this checklist for the final mechanical gate check before submission.

A detailed guide for authors preparing manuscripts for the IMF Economic Review (IMFER). This checklist ensures compliance with strict academic publishing standards, including double-blind anonymization, proper formatting (Chicago style, JEL codes), and the correct separation of author-identifying information before final submission via Editorial Manager.

This guide provides comprehensive instructions for structuring and refining manuscripts intended for IMFER, ensuring the prose resonates with both academic referees and policy readers. It covers the structure of the introduction, the format of the abstract (including JEL codes and italicization), and maintains consistency in style, tone, and quantification.

This comprehensive guide provides authors with a step-by-step workflow for submitting manuscripts to the Journal of Accounting and Economics (JAE) via Elsevier's Editorial Manager. It details crucial requirements, including executing double anonymization, formatting specific metadata (Highlights, JEL codes, Keywords), managing submission fees, and ensuring all files are correctly sequenced for the final review PDF.