Total 50,369 skills, Code Quality has 2287 skills
Showing 12 of 2287 skills
Use when ready to implement designed features - breaks design into TDD tasks (Red-Green-Refactor), tracks progress with checkboxes in tasks.md, enforces strict testing discipline. Activates when user says "implement this", "let's code", "start execution", mentions "tasks", "TDD", or uses /dev-workflow:spec commands (tasks, execute).
You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, C
Software engineering best practices for code review. Use when reviewing code, analyzing code quality, checking for bugs, security vulnerabilities, or providing feedback on code changes.
Code quality standards — lint (eslint/oxlint), type check (tsc), pre-commit hooks, and comment conventions. All comments must be in English.
Check code quality and formatting before committing changes
Use when formatting shell scripts with shfmt. Covers consistent formatting patterns, shell dialect support, common issues, and editor integration.
Language-agnostic coding principles for maintainability, readability, and quality. Use when implementing features, refactoring code, or reviewing code quality.
This skill provides expert-level guidance for debugging and fixing bugs in VS Code extensions. Use when investigating runtime errors, fixing memory leaks, resolving WebView issues, debugging activation problems, fixing TypeScript type errors, or troubleshooting extension communication failures. Covers systematic debugging workflows, common bug patterns, root cause analysis, and prevention strategies.
Non-negotiable code quality standards for testing, structure, naming, error handling, and documentation
Verify that a pull request fully implements the requirements described in its linked GitHub issue. Use when asked to "verify PR implementation", "check PR coverage", "does PR implement the issue", "verify PR against issue", "is PR complete", or "PR completeness check". Extracts the linked issue from the PR body or GitHub linked issues, analyzes the diff against issue requirements, and reports either missing items or confirms 100% coverage.
Improve code performance without changing behavior. Use when code fails latency/throughput requirements. Covers profiling, caching, and algorithmic optimization.
Review WooCommerce code changes for coding standards compliance. Use when reviewing code locally, performing automated PR reviews, or checking code quality.