yugasun/skills · Archived

dev-server

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.

First seen Jan 29, 2026

Installation

$ npx skills add yugasun/skills --skill dev-server

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 1
License LICENSE
Default branch main
Open issues 0
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Version2026.01.29
More metadata
author
Yuga Sun
version
2026.01.29

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,309 B
  • docs SUMMARY.md 205 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 7 installs

SKILL.md

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.

References

Setup & Configuration

Topic Description Reference
Project Setup Using uv, strict python versioning, and environment variables [setup](references/setup.md)
API Development FastAPI structure, error handling, and validation [api](references/api.md)

Data & Architecture

Topic Description Reference
Database Access Async SQLAlchemy strategies and Alembic migrations [database](references/database.md)
AI Integration using LiteLLM and Docling for AI features [ai](references/ai.md)