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modular-monolith-architecture-fastapimodular monolith 架构 FastAPI

Agent Skill

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。它适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令、生成脚本或分析数据处理逻辑。使用时需要确认项目虚拟环境、依赖版本和测试入口;涉及执行脚本、读写文件、访问数据库或调用外部 API 时,应先明确运行目录和输入输出范围,避免误改生产数据。

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本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

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最后核验

2026-05-01

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通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:modular-monolith-architecture-fastapi(modular monolith 架构 FastAPI)
来源仓库:https://github.com/azzam-almatrafi/skills
仓库路径:skills/modular-monolith-architecture-fastapi
安装命令:
npx skills add https://github.com/azzam-almatrafi/skills --skill modular-monolith-architecture-FastAPI
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

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skills.shnpx skills
npx skills add https://github.com/azzam-almatrafi/skills --skill modular-monolith-architecture-FastAPI

简介

modular-monolith-architecture-fastapi 用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。

  • 适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令、生成脚本或分析数据处理逻辑。
  • 使用时需要确认项目虚拟环境、依赖版本和测试入口;涉及执行脚本、读写文件或调用外部 API 时应明确运行目录和输入输出范围。
  • 避免误改生产数据,尤其在访问数据库或调用外部服务时需格外谨慎。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 确认具体用法。

SKILL.md

FastAPI Modular Monolith Architecture — Project Scaffolder

Generate production-ready Modular Monolith projects with FastAPI, featuring proper module boundaries, async-first design, dependency injection, shared kernel, and infrastructure following industry best practices.

Overview

A Modular Monolith is a single deployable application organized into loosely coupled, highly cohesive modules — each representing a bounded context. FastAPI's speed, async capabilities, dependency injection system, and automatic API documentation make it an ideal framework for this architecture.

This skill scaffolds complete FastAPI projects with:

  • Module isolation: Each module owns its models, repositories, services, routes, schemas, and dependencies
  • Async-first design: All I/O operations use async/await (SQLAlchemy async, aiosmtplib, aiocache)
  • FastAPI dependency injection: Loose coupling via Depends() and Annotated types
  • Generic repository pattern: Base CRUD with pagination, filtering, sorting, and soft deletes
  • Inter-module communication: Via gateway contracts and domain events (fastapi-events)
  • Shared kernel (core): Cross-cutting concerns — base models, config, services, exception handling
  • Database-per-module schema: Logical isolation within a single PostgreSQL database via Alembic
  • Production-ready: Docker, Redis caching, task queues (Taskiq), structured logging, rate limiting
  • Migration-ready boundaries: Modules can be extracted to microservices later

Workflow

Step 1: Gather Requirements

If the user hasn't specified, ask for:

  1. Project name (e.g., conduit, saas-platform, ecommerce-api)
  2. Business modules (e.g., Auth, Articles, Comments, Payments, Notifications)
  3. Database preference (PostgreSQL recommended, MySQL supported)
  4. Additional features: Event bus, caching (Redis), task queue, email, Docker, CI/CD
  5. Authentication method: JWT (default), OAuth2, API keys

If the user provides $ARGUMENTS, parse them: $ARGUMENTS[0] = project name, remaining = module names.

Step 2: Generate Project Structure

Read the architecture references for FastAPI:

Generate the project following these critical rules:

Module Rules

  1. Each module gets its own directory with internal layers: models/, schemas/, repositories/, services/, routes/, dependencies/
  2. Modules communicate ONLY through gateway contracts — never import another module's internal types
  3. Each module has its own Alembic migration files
  4. Each module registers its own dependencies via Depends() functions
  5. No circular dependencies between modules
  6. Each module has its own routers.py that aggregates its versioned route files

Shared Kernel (Core) Rules

  1. Contains ONLY cross-cutting concerns: base models, configuration, database session, generic repository, API response schemas, service interfaces (cache, mail, queue, log, events), exception handlers, middlewares
  2. Must be thin — if it grows large, something belongs in a module
  3. Never contains business logic specific to any module

Infrastructure Rules

  1. Single entry point: app/main.py (FastAPI app initialization)
  2. Composition root: app/core/routers.py wires all module routers together
  3. Database session is shared but models/schemas are isolated per module
  4. Domain events via fastapi-events for async inter-module communication (upgradeable to Kafka/RabbitMQ)
  5. Background tasks via Taskiq with Redis backend

Step 3: Generate Code

For each module, generate:

  • Models layer (models/): SQLAlchemy ORM models with soft delete support
  • Schemas layer (schemas/): Pydantic v2 request/response/DTO schemas
  • Repository layer (repositories/): Data access extending BaseRepository with custom queries
  • Service layer (services/): Business logic with event dispatch and cross-cutting service calls
  • Routes layer (routes/v1/): Versioned API endpoints with FastAPI routers
  • Dependencies layer (dependencies/): DI setup for repositories, services, and auth guards
  • Gateway (gateway.py): Public interface exposing module functionality to other modules
  • Events (events.py): Domain event definitions
  • Exceptions (exceptions.py): Module-specific custom exceptions
  • Config (config.py): Module-specific configuration

Also generate:

  • Shared kernel (app/core/): Base classes, database setup, generic repository, API schemas, service interfaces, exception handlers, middlewares, dependency injection
  • Entry point (app/main.py): FastAPI app with lifespan, middleware registration, exception handlers
  • Tests: Unit tests, integration tests, factories, and architecture boundary tests — see references/testing-strategies.md
  • Docker (if requested): Dockerfile + docker-compose with PostgreSQL, Redis, Taskiq worker, and Mailhog — see references/deployment-scaling.md
  • Alembic: Migration configuration with alembic.ini and migrations/env.py
  • pyproject.toml: Dependencies managed with UV or pip
  • README.md: Architecture overview, how to run, how to add modules (use examples/README-template.md)

Step 4: Validate

After generation:

  1. Verify no module directly imports another module's internal types (only gateways)
  2. Confirm each module has its own models and migration support
  3. Check that the shared kernel (app/core/) contains no business logic
  4. Ensure the project runs successfully with uvicorn app.main:app --reload
  5. Run any generated tests with pytest

Validation scripts are available in scripts/ for CI integration:

  • scripts/validate-boundaries.sh <app-dir> — detects cross-module boundary violations in Python imports
  • scripts/validate-shared-kernel.sh <core-dir> <modules-dir> — ensures core doesn't reference modules
  • scripts/check-circular-deps.sh <app-dir> — detects circular dependencies between modules

Step 5: Migration Guidance

If the user asks about extracting modules to microservices:

  • Replace gateway contracts (in-process function calls) with HTTP/gRPC clients
  • Swap fastapi-events for Kafka/RabbitMQ for that module's events
  • Migrate module's database tables to a separate database
  • Deploy the extracted module as a standalone FastAPI service
  • Keep remaining modules as a monolith (no need to extract everything)

Key Principles to Enforce

PrincipleWhat It MeansHow to Enforce in FastAPI
High CohesionModule contains everything for its domainmodels + schemas + repos + services + routes per module
Low CouplingModules don't depend on each other's internalsCommunication only via gateway contracts
Dependency InjectionAll dependencies are explicit and injectableFastAPI Depends() with Annotated types
Async-FirstAll I/O operations are non-blockingasync def for routes, services, repositories
Repository PatternData access is abstracted behind interfacesBaseRepository[Model, Create, Update] generic class
Schema SeparationRequest/response/DTO schemas are distinctPydantic v2 models in schemas/ per module
Event-Driven CommunicationAsync inter-module messagingfastapi-events with domain event dispatch
Encapsulated DataModule owns its dataPer-module SQLAlchemy models, no cross-module FKs

Example Invocations

/modular-monolith-architecture-FastAPI conduit Auth Articles Comments
/modular-monolith-architecture-FastAPI ecommerce-api Auth Products Orders Payments
/modular-monolith-architecture-FastAPI saas-platform Auth Tenants Billing Notifications
/modular-monolith-architecture-FastAPI social-api Auth Users Posts Messages

When NOT to Use This

Suggest microservices instead if the user describes:

  • Teams needing completely independent deployment cadences
  • Requirements for polyglot tech stacks (Python ML + Go APIs + Java enterprise)
  • Extreme per-service scaling requirements
  • Already having Kubernetes infrastructure and DevOps maturity

Suggest a simple FastAPI monolith if:

  • Solo developer or very small team (1-3 devs)
  • Prototype/MVP with unclear domain boundaries
  • Application with fewer than 3 distinct business domains
  • Simple CRUD API without complex business logic

Technology Stack

CategoryTechnologyPurpose
FrameworkFastAPIWeb framework with async support
ORMSQLAlchemy 2.0 (async)Database ORM with async session
ValidationPydantic v2Request/response validation and serialization
DatabasePostgreSQLPrimary relational database
CacheRedis + aiocacheCaching with async Redis backend
MigrationsAlembicDatabase schema migrations
AuthPyJWT + Passlib (Argon2)JWT tokens + password hashing
Eventsfastapi-eventsIn-process domain event dispatcher
Task QueueTaskiq + RedisAsync background job processing
Emailaiosmtplib + Jinja2Async email with templates
LoggingstructlogStructured async logging
Testingpytest + httpx + faker + factory-boyComprehensive test suite
Package ManagerUVFast Python dependency management
LintingRuffCode linter and formatter
Type CheckingMyPyStatic type analysis
ContainerizationDocker + docker-composeDevelopment and deployment

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