Skill UI

This skill produces a step-by-step execution trace for specific code inputs, resolving names and tracking type transitions. It clarifies code behavior when users are confused about outputs or logic, highlighting non-obvious behaviors like implicit coercions and side effects without evaluating code quality. It helps users understand exactly what the code does.

This skill performs an autonomous repository-wide audit and fix pipeline. It audits code health, reviews logic, locates issues, explains findings, applies fixes, verifies diffs, and iterates until clean. It requires initial consent but runs hands-free afterwards, suitable for comprehensive code quality improvement and bug resolution.

Luna is an automated code reviewer focused on correctness, security, and reliability. She evaluates code against blueprints and checklists, identifying critical vulnerabilities like injection flaws, authentication bypasses, and race conditions. Luna acts as a quality gate, ensuring no unresolved high-risk issues proceed to QA or deployment. She excludes style preferences, focusing only on measurable risks to maintainability and safety.

A comprehensive toolset to scaffold, build, sign, and package SwiftPM-based macOS applications entirely without requiring an Xcode project. It guides users through the end-to-end process, including setting up the project, running the app, performing code signing, notarization, and generating update appcasts for robust, reproducible releases.

Maintain a review-first engineering wiki with provenance, citation-aware queries, explicit capture and promotion, and deterministic checks. Helps teams capture durable lessons and verify knowledge before turning it into rules.

A diagnostic reference for Makepad development, covering common build errors, widget redraw, layout issues, and API lookups. Provides quick fixes, debugging tips, and resources for resolving runtime problems and improving code quality.

MockHunter is an advanced skill designed to audit live web pages, providing a comprehensive reality check on visible data. It analyzes every element to determine its true source: whether it is REAL (from the database), MOCK (simulated data), LLM-generated, HARDCODED, BROKEN (broken endpoints), or UNKNOWN. Ideal for auditing AI-generated UIs or reviewing proof-of-concept MVPs before customer sign-off.

This comprehensive guide covers advanced topics in modern JavaScript (ES6+), focusing on functional programming patterns and industry best practices. It is ideal for developers looking to refactor legacy code, optimize performance, manage asynchronous operations (Promises/async-await), and build highly maintainable, scalable web applications.

A comprehensive skill for building and maintaining efficient, scalable monorepositories. This involves strategies for enabling code sharing, ensuring consistent tooling across multiple packages and applications, and managing atomic changes. Use this skill for setting up new monorepo architectures, migrating existing repositories, and optimizing complex CI/CD pipelines.

This skill provides expert guidance for writing JavaScript code within n8n Code nodes. It covers using $input, $json, and $node syntax, making HTTP requests with $helpers, and working with dates using DateTime. It helps with troubleshooting Code node errors and choosing between Code node modes. Use this for complex transformations, custom calculations, recursive operations, and data aggregation that simple nodes cannot handle.

This skill guides users on writing Python code within n8n Code nodes, focusing on standard library usage. It details critical limitations regarding external packages, offering workarounds for HTTP requests and data analysis. Users learn when to prefer Python over JavaScript and how to handle specific syntax requirements safely within the n8n environment.

This skill guides users on writing and debugging JavaScript or Python code for the n8n Custom Code Tool, which is invoked by AI agents via LangChain. It covers input schemas, sandbox limits, return formats, and security best practices. Unlike standard Code nodes, this tool requires string returns and specific input handling for AI interaction.