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diegofisi
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python-fastapi-project-scanner

Scan Python FastAPI projects to extract patterns and generate reusable project templates.

Updated Mar 23, 2026
Search Tags:#architecture#templates#context#fastapi#patterns#repomix#code-generation
One-click install
npx skills add https://github.com/diegofisi/project-scanner --skill python-fastapi-project-scanner
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-fastapi-project-scanner
Source: https://github.com/diegofisi/project-scanner/tree/main/python-fastapi-project-scanner
Command: npx skills add https://github.com/diegofisi/project-scanner --skill python-fastapi-project-scanner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Scans a Python FastAPI backend project to extract its architecture, patterns, coding style, and conventions, then generates a self-contained skill that creates new projects from those patterns. It can optionally use Repomix to pack the codebase and outputs a .context/ directory for tool-agnostic compatibility (Cursor, Copilot, etc.).

Core Features & Use Cases

  • Scans a FastAPI codebase to produce two-layer pattern templates (architectural-agnostic + FastAPI-specific).
  • Generates a self-contained Skill that can recreate new projects from extracted patterns.
  • Produces a .context/ directory for Cursor, Copilot, Windsurf, and other tools to load the patterns.
  • Use cases include turning an existing FastAPI project into a generator/template, codifying coding standards, and creating production-ready templates from real code.

Quick Start

Scan a FastAPI project at /path to extract patterns and generate a reusable project template.

Frequently Asked Questions about python-fastapi-project-scanner

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn an existing FastAPI project into a reusable template?▼

Extracting FastAPI architecture generates a two-layer template: architecture-agnostic patterns for general structure and FastAPI-specific implementations for framework details. This separation allows broad reuse while preserving framework conventions.

Can I use the generated FastAPI patterns with Cursor or Copilot?▼

Yes, the scan outputs a .context/ directory containing tool-agnostic files. Cursor, Copilot, and Windsurf can load this context directory to apply extracted FastAPI patterns during code generation.

How do I extract architecture patterns from a large FastAPI backend?▼

Scanning a large FastAPI backend captures both architecture-agnostic patterns and FastAPI-specific implementations. An optional Repomix packing phase consolidates the codebase, and a validation loop ensures consistency across generated references.

Does the FastAPI pattern generator support projects of varying sizes?▼

Yes, the scanner works on FastAPI backends of varying sizes. It captures both architecture-agnostic patterns and Python-specific implementation details, scaling to accommodate different project complexities.

What is the best way to codify coding standards from a real FastAPI codebase?▼

Codifying coding standards involves scanning a real FastAPI codebase to extract conventions and generate a reusable skill. This creates a production-ready template that enforces project-specific architectural and implementation rules.

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