Skill UI

Documented guidelines for running PowerShell and CMD commands reliably on Windows, covering encoding handling, path quoting, cmdlet substitutions, dotnet CLI best practices, environment variables, long paths, and troubleshooting common shell errors.

Automatically detects typosquatting in npm and PyPI by generating candidate variants from popular dependencies, querying each registry, and scoring matches with Levenshtein distance, publication recency, and download anomalies so teams can flag suspicious packages before installation.

Guides researchers through organizing assumptions, invariant objects, notation, and derivation maps to turn loose goals, messy notes, or partial formula chains into a coherent package suitable for paper-style theory drafts or blocker reports.

This tool meticulously measures whether AI coding agents adhere to predefined skills, rules, or architectural guidelines. It automatically generates expected behavioral sequences and runs scenarios with varying prompt strictness. It deeply analyzes tool call traces, classifies behaviors using LLMs, and generates detailed compliance reports, ensuring robust quality control and adherence to defined workflows.

Guidelines for Go code clarity covering line breaks, variable declarations, control flow, function design, and composite literals to keep code consistent during development or reviews.

A comprehensive toolkit for automating various Discord operations, including sending messages (DMs and channels), managing user roles, creating and executing webhooks, and controlling message reactions. It utilizes Rube MCP and dedicated `discord` and `discordbot` toolkits, providing deep programmatic control over Discord interactions and administrative tasks.

This guide outlines comprehensive best practices for documenting Java code using Javadoc comments. It covers how to properly document public, protected, package-private, and private members, along with the correct usage of various tags like @param, @return, @throws, @see, and specialized syntax for code snippets and versioning. Following these standards ensures API documentation is accurate, maintainable, and adheres to professional Java development norms.

This guide provides an expert resource for writing and debugging correct expressions within n8n workflows. It details how to use the {{...}} syntax to access dynamic data from various sources, including the current node output ($json), data from previous nodes ($node), environment variables ($env), and handling complex webhook payload structures. Essential for reliable workflow automation.

This expert guide provides comprehensive knowledge for interpreting and systematically resolving validation errors within n8n workflows. It covers various error types (e.g., missing required fields, type mismatches, invalid expressions) and outlines best practices for iterative validation, including understanding different validation profiles like 'runtime' and 'strict' for various deployment stages. Ideal for debugging complex automation logic.

This skill demonstrates how to use Playwright MCP to programmatically automate the process of inputting data into a web form. It covers various input types, including text fields, date selection, time setting, and file uploads. The process simulates realistic user interaction for data entry or form submission testing, emphasizing the ability to fill data without final submission for review purposes.

This tool provides comprehensive automation capabilities for managing cloud infrastructure on the Render platform via Rube MCP. Users can list, filter, and browse various services (web services, static sites, etc.), manually trigger new deployments, and continuously monitor the deployment status (e.g., checking for 'live' status or catching 'build_failed' errors). It is essential for streamlining CI/CD pipelines, managing projects, and ensuring reliable, automated service updates without manual intervention.

A comprehensive guide for writing and managing Python code specifically within n8n Code nodes. Learn how to perform complex data transformations, handle different execution modes (batch vs. item-by-item), and master various data access patterns (_input.all(), _input.item, _node). Note the critical limitations, such as relying only on the standard Python library and the general recommendation to use JavaScript for most n8n use cases.