Skill UI

This skill generates comprehensive unit and integration tests using Jest for JavaScript and TypeScript. It supports advanced testing patterns, including deep mocking, asynchronous handling, snapshot testing, and testing React components with Testing Library. Use it when the user needs to thoroughly validate application logic and behavior.

This skill provides comprehensive access to structured corporate content for listed stocks via Longbridge. Users can retrieve the latest news articles, analyze regulatory filings (such as 10-K, 10-Q, 8-K), check community discussions, and perform detailed SEC EDGAR document analysis. It supports querying risk factors, management discussions (MD&A), and regulatory rules.

This library provides a comprehensive framework for managing bounded AI workflows (loops). Users can analyze existing codebases or work histories to discover opportunities for repeating, automated agent processes. It guides the user through finding published templates, auditing and repairing weak agents, adapting parameters, or crafting entirely new, robust automation designs, ensuring clear triggers, verification, and mandatory stopping conditions.

This skill guides the entire lifecycle of repeatable AI agent loops. Use it to discover recurring work patterns within codebases, find established solutions in a library, or interview users to craft bounded, effective loops. It supports auditing, repairing, running, and preparing AI workflows for publication, treating the loop as a robust feedback system.

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.

Use this skill to pressure-test and de-risk a business or creative idea before committing time and capital. It simulates an adversarial panel of five independent experts—The Critic, The Champion, The Analyst, The Investigator, and The Customer—to attack, support, and validate your concept from every possible angle. The final Judge provides a decisive GO/RESHAPE/KILL verdict.

A comprehensive skill for generating keyword-driven automated test scripts using Robot Framework. It supports front-end UI testing via SeleniumLibrary, robust API integration using RequestsLibrary, and complex custom keywords. Ideal for building end-to-end and functional test suites.

A comprehensive skill for generating production-grade, robust automation scripts and end-to-end tests using Selenium WebDriver. Supports multiple languages (Java, Python, JS, C#, etc.) and execution environments, including local machines and TestMu AI cloud for cross-browser compatibility. It guides users on best practices like explicit waits, Page Object Model (POM), and stable locator strategies, acting as a senior QA automation architect.

This skill generates comprehensive visual regression test configurations using SmartUI for accurate screenshot comparison on cloud platforms. It is framework-agnostic, supporting major tools like Playwright, Selenium, Cypress, and Puppeteer. Use it when detecting UI changes, ensuring visual consistency, or running automated visual tests across multiple viewports and browsers.

This skill helps generate comprehensive and structured TestNG test cases for Java. It supports advanced testing features crucial for enterprise automation, including method grouping, data-driven testing using @DataProvider, parallel execution setup, XML suite configuration, and custom listeners. Use it when building robust, scalable, and maintainable automated test suites.

This skill provides expert capabilities for training and fine-tuning transformer language models using the TRL (Transformers Reinforcement Learning) library. It supports state-of-the-art post-training methods, including Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), Group Relative Policy Optimization (GRPO), and Reward Model training. Use this skill to align and customize foundation models for advanced tasks via CLI commands.

This skill generates comprehensive unit and component tests using Vitest, a fast testing framework built for Vite. It supports JavaScript and TypeScript, offering a Jest-compatible API with advanced features like ESM support, HMR, advanced mocking (vi.mock), snapshot testing, and React component rendering. Use it when dealing with unit testing, TDD, or configuring vitest.config.ts.