- STRUCTURAL
- TYPE
- REFACTOR
- HUMAN
Short answer
How do I make my AI follow specific Python patterns?
Your agent uses the validate_python_excellence tool to audit your code against structural rules like Service or Repository layers. It checks for type consistency and design integrity. You get a clear breakdown of where your code deviates from your intended architecture.
Where the results land.
The outcomes of an audit.
The AI processes your files and categorizes findings into these four areas.
STRUCTURAL
Pattern compliance
The AI identifies where logic leaks out of the Service layer or where Repositories are missing. You get a list of specific files that break your architectural rules.
TYPE
Type safety checks
It catches missing type hints or incompatible types that violate your design. You receive feedback to fix type errors before they hit production.
REFACTOR
Code improvement suggestions
The agent proposes specific changes to bring messy modules back into alignment with your patterns. You can review these before applying them.
HUMAN
Design decisions
The AI flags complex architectural conflicts that require your judgment. You decide if a pattern change is actually needed or if the current structure is acceptable.
The workflow
What your AI does when the code arrives.
The AI evaluates your files against a strict set of structural requirements.
Map structure
The agent scans your directory to see how your classes and functions are organized.
validate_python_excellenceVerify layers
It checks if business logic is isolated in Service layers and data access stays in Repositories.
validate_python_excellenceValidate types
The AI looks for type hint violations that break your structural contracts.
validate_python_excellenceIdentify gaps
The agent flags exactly which files or functions fail to meet your excellence standards.
validate_python_excellence
Try it
Copy these to start.
Use these prompts to kick off an audit or a refactor.
Starting points
Swap the bracketed text for your actual file paths or specific pattern names.
Python Excellence Prover Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_rmaVY1F2AkSlXT3y0Nm6hINpvMmIfsivm0LNvOTI/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Python Excellence Prover capabilities are ready to use.
{
"mcpServers": {
"python-excellence-prover-mcp": {
"url": "https://edge.vinkius.com/vk_preview_rmaVY1F2AkSlXT3y0Nm6hINpvMmIfsivm0LNvOTI/mcp"
}
}
}Audit the /src/services directory to ensure all classes follow the Service pattern.
Check my /models/repositories folder for strict type enforcement and proper inheritance.
Review the current implementation of the User module and flag any logic that doesn't belong in the Repository layer.
Validate that all type hints in my core logic files match the defined architectural standards.
Claude
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How this task behaves.
- 01
Can the AI automatically rewrite my files?
No. The AI identifies issues and suggests changes, but you must manually review and apply any code modifications.
- 02
Does it check for PEP 8 compliance?
It focuses on architectural patterns and type enforcement rather than basic linting or style guides.
- 03
Can it enforce custom patterns I made up?
Yes, if you describe your specific pattern requirements in the prompt, the AI will use them as the baseline for validation.
- 04
Will it delete any of my code?
No. The AI only reads your code and provides feedback. It has no capability to delete files or code blocks.
- 05
Does it work with any Python project?
It works with any project where your AI client has access to the file system and the validate_python_excellence tool is active.
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