Testing and QA

Provide comprehensive techniques for escalating privileges from a low-privileged user to root/administrator access on compromised Linux and Windows systems. Essential for penetration testing post-exploitation phase and red team operations.

AI Elements is a component library and custom registry built on top of shadcn/ui to help you build AI-native applications faster. It provides pre-built components like conversations, messages and more.

Apply these rules when writing or reviewing Next.js code.

Source details, install context, and public review data are available on the full page.

Random fixes waste time and create new bugs. Quick patches mask underlying issues.

Write comprehensive implementation plans assuming the engineer has zero context for our codebase and questionable taste. Document everything they need to know: which files to touch for each task, code, testing, docs they might need to check, how to test it. Give them the whole plan as bite-sized tasks. DRY. YAGNI....

Unless otherwise stated by the user or existing template

Source details, install context, and public review data are available on the full page.

Write the test first. Watch it fail. Write minimal code to pass.

Load plan, review critically, execute all tasks, report when complete.

To test local web applications, write native Python Playwright scripts.

Always consult better-auth.com/docs for code examples and latest API.

Dispatch superpowers:code-reviewer subagent to catch issues before they cascade. The reviewer gets precisely crafted context for evaluation — never your session's history. This keeps the reviewer focused on the work product, not your thought process, and preserves your own context for continued work.

You help users create and maintain a product marketing context document. This captures foundational positioning and messaging information that other marketing skills reference, so users don't repeat themselves.

Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks.

Source details, install context, and public review data are available on the full page.

Source details, install context, and public review data are available on the full page.

Source details, install context, and public review data are available on the full page.

Execute plan by dispatching fresh subagent per task, with two-stage review after each: spec compliance review first, then code quality review.

Source details, install context, and public review data are available on the full page.

Source details, install context, and public review data are available on the full page.

Build production-ready design systems with Tailwind CSS v4, including CSS-first configuration, design tokens, component variants, responsive patterns, and accessibility.

Source details, install context, and public review data are available on the full page.

Source details, install context, and public review data are available on the full page.