Skill UI

Automatically analyzes unfamiliar codebases to generate a comprehensive, structured onboarding guide. It systematically detects package manifests, framework fingerprints, architecture maps, key entry points, and coding conventions. Ideal for new developers joining a project or setting up a repository for the first time.

This comprehensive guide establishes foundational coding standards and best practices for enhancing code quality, readability, and maintainability across all projects. It covers naming conventions, immutability patterns, error handling, and core design principles like KISS, DRY, and YAGNI, applicable to TypeScript, JavaScript, and React development. Use it when starting a new module or performing code reviews.

A comprehensive tool designed to audit and validate the structural integrity of a Domain-Driven Design (DDD) codebase. It detects cross-context import violations, checks for violations of aggregate invariant rules, and enforces naming conventions for domain events and repositories. Ideal for CI/CD gates and pre-merge code reviews to prevent architectural decay.

This skill analyzes existing legacy codebases to detect implicit coding conventions across four meta-architectural dimensions (File Anatomy, State & Control Flow, Infrastructure, Error Handling). It resolves conflicts one by one with the user, generating a structured rules file (.ai-style-rules.md) and optionally installing persistent hooks to prevent AI-generated code style drift in future development.

A comprehensive guide detailing best practices for writing clean, maintainable, and type-safe Java code, specifically tailored for Spring Boot services. It covers naming conventions, prioritizing immutability, proper use of Optional, stream API best practices, and modern project structuring.

This comprehensive guide outlines an opinionated set of conventions for building robust Ruby on Rails applications. It covers core architectural principles, including rich models, state-as-records, minimal dependencies, and best practices for CRUD operations and testing. It is mandatory to consult these guidelines whenever designing, writing, reviewing, or refactoring any Rails code.

This skill acts as an advanced orchestration protocol for reviewing GitHub pull requests. It is stack-agnostic, meaning it does not enforce its own rules. Instead, it dynamically discovers the project's existing standards—such as the test runner, architectural conventions, and requirement specifications—before running six specialized subagents in parallel. It provides a comprehensive, context-aware review and summary directly on GitHub.

This comprehensive guide serves as a critical pre-submission checklist for academic papers targeting high-tier journals, such as *Accounting Research*. It meticulously details complex formatting conventions, including footnote practices, author-date citation styles, abstract length limits, and required article length. The guide also emphasizes critical steps like ensuring double-blind anonymity and adhering strictly to the journal's online submission system, helping authors avoid common rejection reasons related to format and identity leakage.

A comprehensive guide for formatting research exhibits, including Impulse Response Functions (IRFs), fan charts, and econometric tables, specifically for submissions to the American Economic Journal: Macroeconomics (AEJ: Macro). This ensures all figures are self-contained, meet rigorous standards for clarity, and adhere to the latest macro conventions, allowing reviewers to quickly assess the quantitative evidence.

Provides comprehensive guidelines for structuring theoretical economics manuscripts for submission to AEJ: Micro. It enforces the theory-first approach, ensuring the introduction immediately presents the economic question and states the main result in words, thus maximizing impact for a broad micro audience. It also covers specific AEA house style conventions, such as reporting standard errors and structuring the abstract.

A comprehensive guide for preparing academic exhibits (tables, figures, appendices) for the American Journal of Sociology (AJS). This skill ensures strict compliance with journal house conventions, covering consecutive numbering, lettered appendices, mandatory alt text, and proper post-text placement. It helps authors structure their arguments visually and pass through rigorous peer review and production stages.

A comprehensive guide for finalizing empirical tables and figures for high-level academic journals. It mandates moving beyond mere statistical significance by requiring deep economic interpretation (magnitude analysis). Covers three-line table conventions, proper event-study plot construction (CI and time markers), and precise variable sourcing (formula and database name) to ensure publication readiness.