A specialized tool for analyzing and refactoring Python project structures to align with modern industry best practices.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install python-arch-optimizer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install python-arch-optimizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Python Architecture Optimizer?
The Python Architecture Optimizer is a sophisticated tool within the Openclaw Skills ecosystem designed to evaluate and transform Python codebases. It focuses on improving project maintainability by auditing directory structures, dependency management, and code organization according to PEP 8 and community standards.
By leveraging automated analysis and migration scripts, it helps developers move away from monolithic or disorganized layouts toward modular, testable, and production-ready architectures. It ensures that concerns like business logic, configuration, and testing are properly decoupled, making the project easier to scale and integrate into modern CI/CD pipelines.
Python Architecture Optimizer Use Cases
- Evaluating existing project architectures for technical debt.
- Refactoring messy directory structures into functional modules.
- Optimizing dependency management with pyproject.toml or Poetry.
- Establishing robust testing frameworks and coverage reporting.
- Configuring professional-grade engineering tools like ruff, black, and pre-commit hooks.
How Python Architecture Optimizer Works
- Architecture Analysis: Runs an analysis script to identify circular dependencies, deep nesting, missing
__init__.pyfiles, and hardcoded configurations. - Recommendation Generation: Compares current project state against a library of best practices to generate a tailored optimization report.
- User Confirmation: Presents a migration plan to the user, requiring explicit consent before any file operations occur.
- Execution & Backup: Performs the refactoring while simultaneously creating a timestamped backup and supporting dry-run previews.
- Validation: Executes linting and test suites to verify that the functional integrity of the application remains intact after restructuring.
Python Architecture Optimizer Setup
To begin using this tool from the Openclaw Skills collection, ensure you have your Python environment active and navigate to your project root:
# Analyze your current project structure
python scripts/analyze_project.py <project-path>
# Review the best practices reference
cat references/best-practices.md
Python Architecture Optimizer Data Schema & Taxonomy
The skill organizes its operations through a specific set of scripts and reference files:
| Component | Description |
|---|---|
scripts/analyze_project.py |
Audits the current directory and code health. |
scripts/generate_structure.py |
Proposes a new, optimized directory layout. |
scripts/migrate_project.py |
Handles file movements, backups, and rollbacks. |
references/best-practices.md |
The core logic source for Python architectural standards. |
migration-plan.json |
A generated intermediate file used for user review before execution. |
Python Architecture Optimizer Advanced Features
- Safety First Rollback: Automatically restores the project from a backup folder if a migration fails mid-process.
- Dry-Run Preview: Use the
--dry-runflag to see exactly which files will be moved or modified without changing the disk. - Automated Engineering Suite: Configures advanced linting tools including ruff, black, and mypy for static type checking.
- CI/CD Integration: Generates ready-to-use templates for automated workflows and pre-commit hooks to maintain architecture quality.
SKILL.md
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