Do I need to run another command before using this skill?

Yes, you must run /parallel-ready-django first to generate the .claude/readiness-report.md file which this skill uses to identify specific architectural blockers.

How does it handle complex refactoring like splitting models?

It provides a guided process for splitting 'God Apps,' including creating new apps, moving models incrementally, and updating imports to ensure domain isolation.

Can I see what changes will be made before applying them?

Yes, you can use the --dry-run flag to preview all proposed architectural and code changes without modifying your files.

What coding standards does this skill enforce?

It configures Ruff for linting, Mypy for type checking, and Pytest for testing, aligning your Django project with modern industry standards for high-scale development.

Django Parallelization Fixer

Name: Django Parallelization Fixer
Author: jpoutrin

byjpoutrin

•

API Development

Prepares Django codebases for multi-agent parallel development by automatically remediating architectural blockers and infrastructure gaps.

The parallel-fix-django skill is designed for engineering teams looking to scale development through parallel execution. It analyzes reports from the /parallel-ready-django command to automatically resolve complex Django-specific issues, such as decomposing 'God Apps,' fixing circular dependencies, converting implicit signals to explicit services, and establishing robust testing and type-checking configurations. By streamlining the transition to a modular, contract-first architecture, this tool ensures a codebase is ready for high-velocity, multi-agent workflows without manual refactoring overhead.

Key Features

01Automated refactoring of oversized Django apps into domain-specific modules

02Automated migration squashing and dependency pinning for environment stability

03Conversion of ModelSerializers with __all__ to explicit field definitions for better API contracts

04Standardized infrastructure setup including Pytest, Mypy, Ruff, and OpenAPI documentation

05Resolution of circular imports and replacement of implicit signals with explicit service patterns

068 GitHub stars

Use Cases

01Enabling AI-driven development by creating clear app boundaries and explicit service layers

02Modernizing a legacy Django monolith to support multiple developers or agents working simultaneously

03Cleaning up architectural technical debt before a major scaling or refactoring phase

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jpoutrin/product-forge parallel-fix-django

For use in Claude.ai and ChatGPT

Download Skill