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Found 2,142 Skills
This skill should be used when the user asks to "validate a finding", "check if a vulnerability is real", "triage a security finding", "confirm a vulnerability", "determine if a finding is a true positive or false positive", or provides a security finding for review. It validates security vulnerability findings by tracing data flows, verifying exploit conditions, analyzing security controls, and optionally testing attack vectors against a live application.
First-principles thinking; identify what everything else builds on. Use when a learner feels like they're memorizing rather than understanding, wants to distinguish foundational from derived concepts, or needs to reconstruct knowledge from basics. This skill guides through dependency testing (elimination, reconstruction, abstraction descent) while enforcing human-only reasoning about what's core vs. derived. Triggers on phrases like "I'm memorizing not understanding", "what's really foundational", "I can use it but don't understand why", "distinguish core from derived", or when a learner wants deeper understanding of first principles.
Set up uv (Rust-based Python package manager) in CI/CD pipelines. Use when configuring GitHub Actions workflows, GitLab CI/CD, Docker builds, or matrix testing across Python versions. Includes patterns for cache optimization, frozen lockfiles, multi-stage builds, and PyPI publishing with trusted publishing. Covers GitHub Actions setup-uv action, Docker multi-stage production/development builds, and deployment patterns.
Designs and implements custom Textual widgets with composition, styling, and lifecycle management. Use when creating reusable widget components, composing widgets from built-in components, implementing widget lifecycle (on_mount, on_unmount), handling widget state, and testing widgets. Covers custom widgets extending Static, Container, and building complex widget hierarchies.
Sets up async tests with proper fixtures and mocks using pytest-asyncio patterns. Use when testing async functions, creating async fixtures, mocking async services, or handling async context managers. Covers @pytest_asyncio.fixture, AsyncMock with side_effect, async generator fixtures (yield), and testing async context managers. Works with Python async/await patterns, pytest-asyncio, and unittest.mock.AsyncMock.
Playwright E2E testing patterns. Trigger: When writing E2E tests - Page Objects, selectors, MCP workflow.
Python single-file script development using uv and PEP 723 inline metadata. Prevents invalid patterns like [tool.uv.metadata]. Use when creating standalone Python utilities, converting scripts to uv format, managing script dependencies, implementing script testing, or establishing team standards for script development.
Create comprehensive unit tests, integration tests, and end-to-end tests using pytest for Python projects. Specializes in FastAPI testing with TestClient, async testing with pytest-asyncio, SQLModel/SQLAlchemy database testing, fixture generation, and test configuration setup. Use when you need test coverage, want to implement TDD/BDD, create test suites for functions or API endpoints, add edge case testing, or improve code quality with automated testing. Triggers include requests like "write tests for this module", "create pytest fixtures", "test this FastAPI endpoint", "setup pytest configuration", or "generate test file".
Test pyramid and testing strategy — unit, integration, and end-to-end test ratios, mocking strategies, test isolation, and what to test. Reference when planning test coverage or evaluating test quality.
Test application performance, scalability, and resilience. Use when planning load testing, stress testing, or optimizing system performance.
Quality Assurance & Advanced Testing
Orchestrates the release process - Testing, Documentation, and Tagging. Use when preparing a new version release.