Skill UI

Guides Python authors from commit to release with end-to-end steps for structuring src layouts, choosing setuptools/hatchling/flit/poetry backends, enforcing SOLID+type-hinting patterns, orchestrating lint/test/CI, managing PEP 440 semantics, and publishing trusted releases to PyPI.

Refactors a specified method into smaller helper routines so the cognitive complexity stays below a given threshold while keeping validation, error handling, and behavior intact.

A comprehensive template for planning large-scale, multi-file refactoring tasks. It enforces a systematic approach by requiring developers to map out the current state, target state, affected files, and execution phases (Types, Implementation, Tests). Crucially, it mandates detailed verification and a robust rollback plan to ensure code stability during major changes.

This micro-prompt guides AI agents to adopt the mindset of an interactive programmer. It emphasizes using the REPL (Read-Eval-Print Loop) for systematic system exploration and modification, treating the system state as the ultimate source of truth. It also reminds the agent to utilize structural editing tools and maintain todo lists, significantly improving the accuracy and efficiency of the development workflow in live coding environments.

Acts as a senior software engineer to meticulously review and refactor entire codebases. This skill ensures that the code is clean, highly maintainable, and strictly adheres to defined coding standards and best practices specified across multiple project instruction files. It guarantees the integrity of the existing file structure and ensures all unit tests remain passing after modifications.

Installs npm packages inside virtiofs-mounted Docker workspaces by copying package files to a container-local ext4 directory, running npm ci there, and symlinking node_modules back so native binaries avoid virtiofs crashes.

Generates a complete, compilable xUnit integration test project structure for validating complex database migrations, specifically from Oracle to PostgreSQL, within .NET solutions. This scaffolding includes a transaction-rollback base class and a seed data manager, ensuring a robust environment for writing migration integration tests without requiring test cases. Ideal for setting up testing infrastructure before migration validation.

Guides agents to attach to existing Chrome instances via CDP, scan local ports, or expose a fixed endpoint for sharing when explicit remote debugging is requested, while highlighting privacy precautions and workspace limits.

This skill allows fine-grained control over how the browser environment is initialized. It manages two primary modes: the default managed CDP connection and a dedicated Playwright management mode (activated by setting private_mode=true). Users can also control the visibility of the browser window using the 'headed' parameter. This is crucial for scenarios requiring specific browser detection bypass or when switching between CDP-managed and Playwright-managed sessions.

Manages scheduled or recurring workflows through explicit qwenpaw cron commands, covering creation, listing, state checks, and lifecycle operations while always requiring an --agent-id to ensure the task targets the right agent workspace.

Conducts a comprehensive audit of website images, focusing on both Search Engine Optimization (SEO) and Core Web Vitals performance. Checks include alt text quality, file size efficiency, modern format usage (WebP, AVIF), responsive image implementation (srcset), lazy loading strategy, and Cumulative Layout Shift (CLS) prevention by ensuring proper dimensions. Use this when optimizing media assets for maximum web performance and search visibility.

Skillshare is a comprehensive CLI tool designed to manage and synchronize AI Command Line Interface (CLI) skills across dozens of AI tools and repositories. It provides a single source of truth for skill configurations, enabling users to install, update, audit, analyze, and share skills globally or within specific projects. Use it for streamlining AI workflow setup, managing cross-tool dependencies, setting up CI/CD audit pipelines, or building specialized skill hubs.