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Found 1,258 Skills
[Testing] Use when creating or enhancing unit tests, integration tests, or defining test strategies for backend and frontend code.
The human project owner and final authority. Does not write code or run tools -- resolves tie-breaks, approves or denies major decisions, and unblocks deadlocks.
Best practices for doing quick exploratory data analysis with minimal code and a Pandas .plot like API using HoloViews hvPlot.
We review Claude Code Skills based on official best practices and provide specific improvement suggestions. It is triggered by requests such as 'Review this skill', 'Check skill quality', 'Validate SKILL.md', 'I want to improve this skill'.
Infrastructure as Code best practices for Terraform, Docker, Ansible, and CloudFormation. Covers secure-by-default configurations, multi-stage builds, state management, and modular patterns. Use when working with .tf, Dockerfile, docker-compose.yml, .yaml/.yml Ansible files, CloudFormation templates, or when asking about IaC, containers, or infrastructure automation.
Use when writing or running Unity tests, including EditMode tests, PlayMode tests, performance testing, and code coverage
QML and Qt Quick — declarative UI language for modern Qt applications. Use when building a QML-based UI, embedding QML in a Python/C++ app, exposing Python/C++ objects to QML, creating QML components, or choosing between QML and widgets. Trigger phrases: "QML", "Qt Quick", "declarative UI", "QQmlApplicationEngine", "expose to QML", "QML component", "QML signal", "pyqtProperty", "QML vs widgets", "QtQuick.Controls", "Item", "Rectangle"
Cloud infrastructure design and deployment patterns for AWS, Azure, and GCP. Use when designing cloud architectures, implementing IaC with Terraform, optimizing costs, or setting up multi-region deployments.
Design, implement, and maintain high‑value TypeScript test suites using popular JS/TS testing libraries. Use this skill whenever the user is adding tests, debugging failing tests, or refactoring code that should be covered by tests.
Multi-agent quality improvement review with constructive feedback. Provides suggestions for best practices, code quality, alternatives, and performance optimization.
Enterprise Skill for advanced development
Comprehensive pytest testing skill for Python projects. Write efficient, maintainable tests with fixtures, parametrization, markers, mocking, and assertions. Use when: (1) Writing new tests for Python code, (2) Setting up pytest in a project, (3) Creating fixtures for test dependencies, (4) Parametrizing tests for multiple inputs, (5) Mocking/patching with monkeypatch, (6) Debugging test failures, (7) Organizing test suites with markers, (8) Any Python testing task.