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Dev Server

skill-yugasun-skills-dev-server · by yugasun

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.

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Install

$ agentstack add skill-yugasun-skills-dev-server

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

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 | Add dependency | | uv add --dev | Add development dependency | | uv run | 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) |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.