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name: dev-server description: Create and manage Python backend services using uv, FastAPI, Pydantic, SQLAlchemy, and AI libraries. Use this skill when the user asks to build a backend, API, or server-side application. metadata: author: Yuga Sun version: "2026.01.29"

Server Development Skill

Instructions

Use this skill to scaffold and maintain backend services in the server/ directory. Follow the stack preferences and configuration details below.

Quick Start

1. Initialize: uv init.
2. Manager: Use uv for all dependency operations.
3. Framework: Setup FastAPI with Pydantic.
4. Database: configure SQLAlchemy (Async) + Alembic.

Core Stack Preferences

Project Management (uv)

Use uv for all Python project management (scaffolding, dependency management, virtual environments).

| Command | Description | |---------|-------------| | uv init | Initialize a new project | | uv add <pkg> | Add dependency | | uv add --dev <pkg> | Add development dependency | | uv run <cmd> | Run command in virtual environment | | uv venv | Create virtual environment |

Project Location

The backend project should be initialized in the server/ directory.

Framework (FastAPI)

Use FastAPI for building APIs.

• Use APIRouter for modularizing routes.
• Use pydantic-settings for configuration management.

Database (SQLAlchemy + Alembic)

Use SQLAlchemy 2.0+ with AsyncIO support. Use Alembic for database migrations.

AI & LLM (LiteLLM + Docling)

• LiteLLM: For standardized access to various LLM providers.
• Docling: For parsing and processing documents.

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References

Setup & Configuration

| Topic | Description | Reference | |-------|-------------|-----------| | Project Setup | Using uv, strict python versioning, and environment variables | setup | | API Development | FastAPI structure, error handling, and validation | api |

Data & Architecture

| Topic | Description | Reference | |-------|-------------|-----------| | Database Access | Async SQLAlchemy strategies and Alembic migrations | database | | AI Integration | using LiteLLM and Docling for AI features | ai |