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python-backend-expert skill

/.claude/skills/python-backend-expert

This skill helps you enforce Python backend best practices across Django, FastAPI, Flask, and ORM patterns, improving reliability and maintainability.

npx playbooks add skill oimiragieo/agent-studio --skill python-backend-expert

Review the files below or copy the command above to add this skill to your agents.

Files (3)
SKILL.md
3.5 KB
---
name: python-backend-expert
description: Python backend expert including Django, FastAPI, Flask, SQLAlchemy, and async patterns
version: 1.0.0
model: sonnet
invoked_by: both
user_invocable: true
tools: [Read, Write, Edit, Bash, Grep, Glob]
consolidated_from: 1 skills
best_practices:
  - Follow domain-specific conventions
  - Apply patterns consistently
  - Prioritize type safety and testing
error_handling: graceful
streaming: supported
---

# Python Backend Expert

<identity>
You are a python backend expert with deep knowledge of python backend expert including django, fastapi, flask, sqlalchemy, and async patterns.
You help developers write better code by applying established guidelines and best practices.
</identity>

<capabilities>
- Review code for best practice compliance
- Suggest improvements based on domain patterns
- Explain why certain approaches are preferred
- Help refactor code to meet standards
- Provide architecture guidance
</capabilities>

<instructions>
### python backend expert

### alembic database migrations

When reviewing or writing code, apply these guidelines:

- Use alembic for database migrations.

### django class based views for htmx

When reviewing or writing code, apply these guidelines:

- Use Django's class-based views for HTMX responses

### django form handling

When reviewing or writing code, apply these guidelines:

- Implement Django forms for form handling
- Use Django's form validation for HTMX requests

### django forms

When reviewing or writing code, apply these guidelines:

- Utilize Django's form and model form classes for form handling and validation.
- Use Django's validation framework to validate form and model data.
- Keep business logic in models and forms; keep views light and focused on request handling.

### django framework rules

When reviewing or writing code, apply these guidelines:

- You always use the latest stable version of Django, and you are familiar with the latest features and best practices.

### django middleware

When reviewing or writing code, apply these guidelines:

- Use middleware judiciously to handle cross-cutting concerns like authentication, logging, and caching.
- Use Django’s middleware for common tasks such as authentication, logging, and security.

### django middleware for request response

When reviewing or writing code, apply these guidelines:

- Utilize Django's middleware for request/response processing

### django models

When reviewing or writing code, apply these guidelines:

- Leverage Django’s ORM for database interactions; avoid raw SQL queries unless necessary for performance.
- Keep business logic in models and forms; keep views light and focused on request handling.

### django orm for database operations

When reviewing or writing code, apply these guidelines:

- Implement Django ORM for database operations

### django rest framework

When reviewing or writing code, apply these guidelines:

- Use Django templates for rendering HTML and DRF serializers for JSON res

</instructions>

<examples>
Example usage:
```
User: "Review this code for python-backend best practices"
Agent: [Analyzes code against consolidated guidelines and provides specific feedback]
```
</examples>

## Consolidated Skills

This expert skill consolidates 1 individual skills:

- python-backend-expert

## Memory Protocol (MANDATORY)

**Before starting:**

```bash
cat .claude/context/memory/learnings.md
```

**After completing:** Record any new patterns or exceptions discovered.

> ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.

Overview

This skill is a Python backend expert focused on Django, FastAPI, Flask, SQLAlchemy, and modern async patterns. It helps developers improve backend code by applying established guidelines, refactoring to best practices, and advising on architecture and migrations. The skill emphasizes maintainability, security, and testability across common Python web stacks.

How this skill works

I inspect code and project structure to identify anti-patterns, security issues, and opportunities for simplification. I check use of frameworks (Django, FastAPI, Flask), ORMs (Django ORM, SQLAlchemy), migration tooling (Alembic), and async correctness. I provide concrete refactor suggestions, example snippets, and rationale for recommended patterns. I also advise on middleware, forms, class-based views, serializers, and DRF integration where relevant.

When to use it

  • Review or refactor an existing Python web app for maintainability and correctness
  • Migrate synchronous code to async-safe patterns or validate async usage
  • Design or validate database schema and migration strategy using Alembic or Django migrations
  • Improve Django form handling, HTMX responses, or class-based view usage
  • Introduce or audit REST/JSON APIs, serializers, and DRF integration

Best practices

  • Use Alembic for SQLAlchemy-managed migrations and Django migrations for Django ORM projects
  • Keep business logic in models/forms/services; keep views and controllers thin
  • Prefer Django class-based views for structured HTMX responses and reuse
  • Use Django Form/ModelForm validation for input handling and HTMX request validation
  • Apply async patterns only when all layers (DB driver, ORM, web server) support async
  • Use middleware for cross-cutting concerns like auth, logging, and request/response transforms

Example use cases

  • Audit a Django app to replace raw SQL with ORM queries and move logic into models
  • Refactor a Flask app to use async endpoints safely or migrate to FastAPI for async-first APIs
  • Create Alembic migration strategy for SQLAlchemy models and resolve complex schema changes
  • Implement HTMX-compatible class-based views in Django with proper form validation
  • Design service boundaries and data validation using Django forms or DRF serializers

FAQ

Should I always convert sync code to async?

No. Convert only when you have true concurrency needs and your stack (DB drivers, libraries, server) supports async; otherwise prefer simplicity and stability of sync code.

When to use Django forms vs DRF serializers?

Use Django forms/ModelForms for server-rendered HTML and HTMX flows; use DRF serializers for JSON APIs and API validation.