parallel-ready-django

Audit Django project codebases for parallelization readiness and generate remediation plans.

14|1|Updated Dec 5, 2025
One-click install
npx skills add https://github.com/jpoutrin/product-forge --skill parallel-ready-django
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel-ready-django
Source: https://github.com/jpoutrin/product-forge/tree/main/plugins/python-experts/skills/parallel-ready-django
Command: npx skills add https://github.com/jpoutrin/product-forge --skill parallel-ready-django

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solves?

Preparing a Django codebase for parallel development by multiple AI agents requires a thorough audit of app boundaries, shared state, and adherence to best practices to avoid conflicts and ensure smooth integration. This Skill provides tools and guidance for this complex task.

Core Features & Use Cases

  • Automated Analysis: A Python script (analyze-readiness.py) to automatically audit Django project structure, app organization, shared state, API contracts, tests, documentation, and dependencies.
  • Assessment Dimensions: Detailed scoring and identification of issues across critical areas like app boundaries, shared mutable state, API contracts, and test infrastructure.
  • Remediation Actions: Practical steps to fix common blockers, such as splitting "god apps," refactoring cross-app signals, and improving serializer definitions.
  • Infrastructure Setup: Guidance on establishing project conventions (CLAUDE.md) and contract definitions for multi-agent collaboration.
  • Use Case: Auditing an existing Django project for parallelization readiness, generating a report on codebase health, setting up a new Django project for multi-agent work, or identifying and fixing circular imports and tight coupling.

Quick Start

Use the parallel-ready-django skill to run the automated analysis script on the current Django project and generate a readiness report.

Frequently Asked Questions about parallel-ready-django

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

FAQPage Schema
How do I audit a Django project for parallel multi-agent development readiness?

Parallel-ready-django audits Django codebases to assess readiness for multi-agent execution by analyzing app boundaries, shared state, API contracts, tests, and dependencies. Run the automated analysis script on your project to generate a readiness report with scoring and remediation guidance.

What makes a Django app unsuitable for parallel agent collaboration?

Tight coupling between apps, circular imports, global mutable state, undefined API contracts, and weak test coverage block parallel development. The audit identifies these issues across app boundaries, shared state, and contract enforcement so you can refactor before multi-agent work begins.

Can I use this to prepare an existing Django project for multiple agents, or only new ones?

This works on existing Django projects and repositories. The analysis evaluates your current structure, detects blockers like god apps and cross-app signals, and provides specific remediation steps to establish conventions and explicit contracts for multi-agent collaboration.

What does the readiness report include?

The report scores your Django project across assessment dimensions—app boundaries, shared mutable state, API contracts, and test infrastructure—identifies circular imports and tight coupling, and delivers an orchestration scaffold and setup guidance for safe parallel agent execution.

Do I need to understand multi-agent orchestration to use this audit?

No. The audit focuses on Django codebase health: app isolation, dependency clarity, and test robustness. You provide your project; the analysis identifies refactoring needs and generates infrastructure setup guidance without requiring orchestration knowledge upfront.

Why should I audit before letting agents work on my Django code in parallel?

Parallel agents can conflict on shared state, violate implicit contracts, and break poorly isolated apps. Auditing catches these risks early—circular imports, god apps, missing serializers, weak tests—so agents work safely within clear boundaries and explicit API contracts.