Skill UI

This tool diagnoses and validates complex cron expressions (e.g., crontab, Kubernetes CronJob) to prevent silent scheduling failures. It identifies five common pitfalls: impossible dates, misunderstood OR semantics, resource spikes, uneven step drift, and leap year issues. Users can check the syntax, understand the true meaning, and calculate future execution times reliably.

This skill provides comprehensive pull request (PR) code reviews that go beyond simple syntax checks. It aggressively surfaces deep-rooted decay risks, architectural design smells, and maintainability issues. Findings are reported using a structured Symptom → Source → Consequence → Remedy framework, drawing insights from classic engineering principles. Ideal for reviewing complex or crucial code modules.

This skill assists in generating robust Behavior Driven Development (BDD) tests. It supports writing feature files using Gherkin syntax (Given/When/Then) and automatically generates corresponding step definitions in multiple languages, including Java, JavaScript, and Ruby. Ideal for structuring and automating end-to-end functional tests.

This skill performs a deep comparison of two code versions to verify semantic equivalence, going beyond simple syntax diffing. It uses semi-formal tracing techniques to trace both versions against shared specifications and boundary conditions (e.g., null, zero, max/min). Ideal for confirming if a refactor, rewrite, or migration has unintentionally altered the code's behavior, answering the question: "Did I break anything?"

This skill provides comprehensive code review capabilities for analyzing git diffs or specific file scopes. It goes beyond simple syntax checks, assessing code for reuse opportunities, quality issues (e.g., redundant state, leaky abstractions), efficiency bottlenecks, and adherence to standards. It utilizes multiple specialized sub-agents (Reuse, Quality, Efficiency, Clarity) to perform parallel, read-only audits. Optionally, it can apply high-confidence, behavior-preserving fixes upon user request.

A fast, grep-based linter that checks for common design system violations in CSS and component code, such as hardcoded colors, raw pixel values, and deprecated syntax. It provides immediate automated feedback to ensure code adheres to established design tokens and best practices.

Utilizes Expo DOM components to render web code verbatim inside a webview on native platforms, while maintaining native rendering on the web. This enables developers to integrate web-only libraries (such as charting tools, syntax highlighters, or complex CSS layouts) and incrementally migrate existing web components into a React Native application without substantial rewriting.

This model provides an engineering operational framework for teams that leverage AI agents to generate large volumes of code. It shifts the focus from simple syntax to process quality, robust architecture design, rigorous testing, and systematic risk control, ensuring the development of highly stable and reliable systems in AI-assisted environments.

This tool is designed to validate the syntax, completeness, and correctness of network configuration files. It helps ensure that network devices are configured according to established standards and best practices, preventing deployment errors and ensuring reliable network operation. Ideal for network engineers and DevOps teams.

This skill provides a comprehensive guide for authors submitting theoretical linguistics manuscripts. It ensures the contribution is framework-neutral, highly generalizable, and makes a clear theoretical argument accessible to linguists across diverse subfields (e.g., phonology, syntax, semantics). It acts as a venue selection and framing aid for high-level academic publishing.

This skill provides expert guidance on positioning theoretical work for Linguistic Inquiry, a premier venue in generative grammar. It helps authors structure rigorous formal analyses of syntax and its interfaces (morphology, semantics, phonology). Use this when developing explicit, falsifiable theoretical proposals, crafting focused 'squibs,' or navigating the high standards required for top-tier academic linguistics publications.

This skill serves as a detailed guide for authors submitting theoretical articles in syntax or morphology to Natural Language & Linguistic Theory (NLLT). It outlines the journal's specific expectations, emphasizing that formal analyses must be deeply grounded and rigorously tested using rich, representative, and often cross-linguistic empirical data. Use this tool to assess the methodological rigor, scope fit, and structural requirements of your manuscript against NLLT's high academic standards.