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Found 4,088 Skills
AI-powered penetration testing assistant using local LLM (metatron-qwen via Ollama) on Parrot OS Linux
XSLT injection testing: processor fingerprinting, XXE and document() SSRF, EXSLT write primitives, PHP/Java/.NET extension RCE surfaces. Use when user-controlled XSLT/stylesheet input or transform endpoints are in scope.
Vitest unit testing patterns with React Testing Library. Trigger: When writing unit tests for React components, hooks, or utilities.
Research methodologies, user interviews, surveys, usability testing, persona creation, and insight extraction
Implement, debug, refactor, migrate, review, or explain Effect TypeScript code. Use when a task touches `effect` or `@effect/*` APIs, especially services, layers, schemas, runtime wiring, platform or CLI packages, Effect testing, or Promise-to-Effect migration.
Use when creating specialized subagents for Claude Code plugins or the Task tool - covers description writing for auto-delegation, tool selection, prompt structure, and testing agents
Build, refactor, debug, test, and package Python terminal user interfaces with Textual. Use when the user wants a TUI, terminal dashboard, admin console, multi-screen workflow, keyboard-first tool, data explorer, file browser, markdown or log viewer, editor, command palette, browser-served console app, or a migration from curses/Rich-only UI to Textual—even if they never say “Textual”. Covers TCSS and themes, built-in widgets, screens and modes, reactive state, workers, browser delivery APIs, and pytest Pilot or snapshot testing.
Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, available recipes, and multi-GPU examples.
Flutter development with Riverpod state management, Freezed, go_router, and mocktail testing
Conduct usability tests and identify UX issues through systematic observation. Use when testing user flows, validating designs, identifying friction points, or ensuring users can complete core tasks. Covers test planning, think-aloud protocol, task scenarios, and severity rating.
Python testing with pytest covering fixtures, parametrization, mocking, and test organization for reliable test suites
General software development best practices covering code quality, testing, security, performance, and maintainability across technology stacks