Code Quality & Testing
Code Quality & Testing is a skill that automates code quality checks and testing using npm commands to ensure high test coverage and resolve styling errors
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Code Quality & Testing is a skill that automates code quality checks and testing using npm commands to ensure high test coverage and resolve styling errors
Code Quality & Testing is a skill that automates the process of resolving styling and standard linting errors, and executing core logic and end-to-end browser tests.
Apply modern web development best practices for security, compatibility, and code quality. Use when asked to apply best practices, security audit, modernize code, code quality review, or check for vulnerabilities.
Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.
scientific-schematics is a skill that generates scientific diagrams and schematics using AI, streamlining the publication process.
Review is a code analysis skill that evaluates individual files to identify areas for improvement and provides targeted suggestions.
Perform code reviews following Sentry engineering practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.
Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.
run-quality-checks is a skill that executes code quality checks, including linting, type checking, and formatting, to ensure high-quality code in React applications.
Scientific-schematics is a skill that uses AI to generate publication-quality diagrams and schematics for scientific publications and research.
code-auditor is a hybrid skill that combines mechanical and semantic analysis for comprehensive code auditing and improvement.
Coding-standards is a set of universal principles and best practices for writing clean, readable, and maintainable code, emphasizing simplicity, reusability, and self-documentation.