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Found 45 Skills
SQLAlchemy 2.0 async patterns with AsyncSession, async_sessionmaker, and FastAPI integration. Use when implementing async database operations, connection pooling, or async ORM queries.
Implementing Entity Framework Core repositories and migrations for PostgreSQL, MySQL, and SQLite at Bitwarden. Use when creating or modifying EF repositories, generating EF migrations, or working with non-MSSQL data access in the server repo.
Implement trees in Umbraco backoffice using official docs
在 CleanDDD 项目中落地已建模的需求（聚合/命令/查询/API 端点（Endpoints）/事件/仓储/配置/测试）的编码指南；用于编写或修改业务功能、端点与数据访问时
バックエンドコード規約とパターン集。APIルート、Repository、バリデーション等の実装パターン。 使用タイミング: (1) 新しいAPIルート作成時 (2) Repository実装時 (3) バリデーション設計時 (4) エラーハンドリング実装時 (5) バックエンドのベストプラクティス確認時。 トリガー例: 「APIルートを作って」「Repositoryパターンで」「バックエンドのパターン」 「Zodでバリデーション」「エラーハンドリングのパターン」
Backend architecture patterns and best practices for scalable server-side applications.
Repository pattern for pre-approved financial disclosures and claim language.
Handles Entity Framework Core database access, migrations, and repository patterns for PostgreSQL. Use when: Creating DbContext classes, writing migrations, implementing repositories, configuring entity relationships, or optimizing database queries.
Node.js backend patterns with Express/Fastify, repositories
7-layer architecture design guidelines for Laravel applications. Covers layer responsibilities, dependency rules, and Laravel-native patterns. Reference this skill when planning backend architecture decisions during Phase 1 (Planning & Review).
Create and manage Dexie/IndexedDB repositories with type-safe interfaces, converters, and standardized CRUD operations. Use when (1) adding entity storage, (2) implementing save/load/delete operations, (3) designing database schema and indexes, (4) converting between database (Db*) and domain types, (5) handling database errors or migrations, (6) using existing repositories (SettingsRepository, WorkoutsRepository, TemplatesRepository, CustomExercisesRepository, BenchmarksRepository, ActiveWorkoutRepository). Triggers include "database", "repository", "save data", "fetch from database", "delete from storage", "database schema", "database table", "indexes", "migration", "persist", "convert workout", "converter", "buildPartialUpdate", "mock repository", "database error", "bulk operations", "import/export", or specific repository names.
Automatically generate complete Python project deliverables from natural language requirements through collaboration among four virtual roles: autonomous learning, PM, architect, and senior programmer. Supports feature expansion, project refactoring, and skill invocation. Also supports web search, knowledge integration, version control, Python 3.11+ features, UV package management, loguru logging, and project size adaptation (folder/single file). It provides support for database design and implementation (SQLite, PostgreSQL, MongoDB, vector databases, graph databases), data layer abstraction (Repository pattern), and database switching. Suitable for scenarios such as software requirement clarification, rapid prototyping, project initialization, feature expansion, and code refactoring.