Skill for verifying overall codebase quality. Covers architecture consistency, convention compliance, and potential issue detection. Triggers: code review, architecture review, quality check, refactoring, 코드 리뷰, コードレビュー, 代码审查
Core rules for bkit plugin. PDCA methodology, level detection, agent auto-triggering, and code quality standards. These rules are automatically applied to ensure consistent AI-native development. Triggers: bkit, PDCA, 개발, develop, implement, 기능, feature, 버그, bug, 코드, code, 설계, design, 문서, document
Performs comprehensive code reviews for Python files following PEP 8 and Google Python Style Guide standards. Checks code quality, best practices, security, performance, maintainability, and style compliance. Use when reviewing Python code or when asked to check, audit, or improve Python code quality.
Detect and resolve incoherence in documentation, code, specs vs implementation. Includes reconciliation phase for applying user-provided resolutions.
Skill for defining coding rules and conventions. Ensures consistent code style and specifies coding standards for AI collaboration. Triggers: convention, coding style, naming rules, 컨벤션, コンベンション, 编码风格
Run formatting, lint, typecheck, and tests for this repo; use when validating changes or investigating CI failures.
Reviews code for quality, security, and maintainability. Use after implementing features, completing significant work, or when user asks for code review.
Enforce semantic CSS variable theming in Tailwind projects. Prevents raw colors (hex, rgb) and non-theme Tailwind classes. Use when project has semantic tokens, CSS vars, or custom ESLint theming rules.
Senior engineer code review for PRs, diffs, and code snippets focusing on security vulnerabilities, OWASP compliance, performance bottlenecks, maintainability, error handling, and architectural patterns
Create protocol-compliant JSON session logs with verification-based enforcement. Autonomous operation with auto-incremented session numbers and objective derivation from git state. Use when starting any new session.
Comprehensive web application reconnaissance and mapping coordinator that orchestrates passive browsing, active endpoint discovery, attack surface analysis, and headless browser automation for complete application coverage.
Comprehensive guide for writing and running pytest tests in Python projects. Use when (1) Setting up pytest for a new project, (2) Writing test files and test cases, (3) Using fixtures, mocks, and parametrization, (4) Improving test coverage, (5) Debugging test failures, (6) Organizing test structure, or any Python testing tasks with pytest.
Workflow for fixing bugs in Ruby SDK integrations. Covers reproducing the bug, using appraisals, adding test cases, and TDD-based fixes.
Use when code changes touch database, cache, queue, or other service-dependent components - enforces testing against real local services instead of mocks
Visual QA gate for frontend code. ALWAYS use before delivering any UI changes - navigate, screenshot, verify console is error-free. Use for: responsive testing across viewports, form/interaction testing, debugging hydration and render issues. Catches visual bugs before users see them.
Run ExUnit tests with smart filtering, debugging options, and proper error reporting. Use when running tests, debugging failures, or validating specific test cases.
Execute comprehensive test suite (Vitest/Jest) with coverage reporting and failure analysis. Returns structured output with test counts (total/passed/failed), coverage percentage, duration, and detailed failure information. Used for quality gates and CI/CD validation.
使用 pytest + httpx 进行 API 接口自动化测试的工具包。支持 RESTful API 测试、JWT 认证、参数化测试、断言验证以及测试报告生成。
