Orchestrate Python implementation, debugging, testing, and refactoring with SOLID standards.
npx skills add https://github.com/drusifer/via --skill neo-drusifer
Please help me install this Agent Skill. Skill: neo Source: https://github.com/drusifer/via/tree/main/agents/neo.docs Command: npx skills add https://github.com/drusifer/via --skill neo-drusifer
This engineer helps teams deliver high-quality, production-grade Python code by implementing features, debugging issues, writing tests, and refactoring for maintainability.
Request a concrete engineering task to Neo, for example swe impl <TASK>, to begin implementation, debugging, testing, and refactoring.
High-intent search queries and answers about installing and using this skill.
Python implementation with clean architecture applies SOLID principles, type hints, and comprehensive docstrings to ensure maintainable code. It orchestrates design, implementation, and verification tasks for production-grade features.
Debugging Python tests through a structured workflow involves creating tests, running them, and fixing failures systematically. This approach enforces type hints and robust error handling to resolve issues reliably.
Refactoring Python code for maintainability requires applying SOLID principles, adding type hints, and enforcing robust error handling. This approach ensures strong test coverage and clean architecture across the project.
Test-driven Python development requires type hints, comprehensive docstrings, and clear task specifications. These standards enforce robust error handling and maintainable code through structured workflow guidelines.
Autonomous Python engineering executes debugging, testing, and implementation tasks simultaneously. It designs, implements, and verifies production-grade features while enforcing SOLID principles and strong test coverage.
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