refactor-code
Systematically refactor code based on analysis, applying improvements while maintaining functionality. Use when the user asks to "refactor this code", "improve code quality", "apply improvements", "fix anti-pat...
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Systematically refactor code based on analysis, applying improvements while maintaining functionality. Use when the user asks to "refactor this code", "improve code quality", "apply improvements", "fix anti-pat...
Analyzes and refactors code changes in the current git working tree (staged, unstaged, or recent commits). Ensures changes follow best practices, coding standards, and maintain code quality. Use when the user a...
Analyse Python code for refactoring opportunities using functional programming principles, code quality checks, and manual refactoring guidance. Use when user wants to improve code quality, check for code smell...
Analyze large codebases using Gemini CLI's massive context window. Use when analyzing entire codebases, comparing multiple large files, understanding project-wide patterns, verifying feature implementations, or...
Automated style and structure validation for Odoo documentation. Use when creating or modifying RST files to ensure compliance with Odoo's heading hierarchy, line length limits, image metadata requirements, and...
Review code for Visual Layout Builder quality standards including TypeScript patterns, React 2025 best practices, accessibility, and performance. Use when reviewing PRs, checking code quality, or ensuring compl...
Analyzes code complexity metrics and identifies areas that are too complex for developers to easily understand
Reviews code for unnecessary complexity and suggests simplifications that make it easier for developers to understand
コードレビュースキル。コーディング規約、テスト配置、ファイル構造、ドキュメント品質の観点から確認する。 使用ケース:実装完了後のコードレビュー、PR作成前の最終確認
コード品質チェックスキル。ビルド、リント、フォーマット、テストを実行してエラーがないことを確認する。 使用ケース:コーディング完了後の品質確認
コードレビューを実施するスキル(SDD仕様書整合性・コーディング規約・セキュリティ・テスト品質)
Code review checklist and best practices for thorough quality assessment.
Testing patterns, strategies, and best practices for comprehensive test coverage.
Quickly index and understand a codebase's architecture. Use at session start to get up to speed fast. Finds entry points, API routes, classes, models, configs, and patterns.
Diagnose and fix CI/CD failures related to Lint errors and test failures. Use when: (1) User mentions CI/CD failures, lint errors, or test failures, (2) User asks to fix code quality issues or make tests pass,...
Anti-premature-coding protocol. MANDATORY pre-coding checkpoint: execute BEFORE writing ANY code (new features, bug fixes, refactoring, optimization, tests). Use when user requests: "implement/add/fix/refactor/...
Comprehensive code review for pull requests and commits. Reviews code against associated stories/tasks, checks naming conventions, linting, clean code practices, readability, maintainability, and security vulne...
檢驗日文學習卡片的結構完整性和格式正確性。 使用時機: - 當需要檢查卡片的 YAML frontmatter 格式 - 當需要驗證卡片區塊(解釋、例句、相關連結)是否完整 - 當卡片顯示異常需要診斷 - 當批次建立完成後想抽查品質 關鍵字:...
Create well-formatted git commit messages following conventional commits standard. This skill should be used after completing coding tasks to create clear, descriptive commit messages that accurately reflect ch...
Identify and remove unused code, commented blocks, unreachable code, and unused imports. This skill should be used during Phase 1 cleanup tasks to improve codebase maintainability.
Format Python code using black, ruff, and isort to ensure consistent style. This skill should be used before committing code to maintain code quality standards and pass CI/CD checks.
Run comprehensive quality checks including linting, type checking, and tests. Use before committing or when validating code changes.
Code review assistant. Use to review code changes, identify issues, and provide improvement suggestions with priority levels.
John Carmack-level implementation review via rp-cli for current branch changes. Use when reviewing code changes, PRs, or implementations. Triggers on mentions of code review, implementation review, or PR review...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.