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Implementing Python | Skills Pool

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Implementing Python

Implements concise, streamlined Python code matching exact architect specifications. Use when writing Python code, creating modules, or when the user asks to implement features in Python.

qte770 星標2026年1月31日

職業
分類: 框架內部結構

技能內容

Python Implementation

Target: $ARGUMENTS

Creates focused, streamlined Python implementations following architect specifications exactly. No over-engineering.

Python Standards

See docs/best-practices/python-best-practices.md for comprehensive Python guidelines.

Workflow

Read architect specifications from provided documents
Validate scope - Simple (100-200 lines) vs Complex (500+ lines)
Study existing patterns in src/ structure
Implement minimal solution matching stated functionality
Create focused tests matching task complexity
Run make validate and fix all issues

Implementation Strategy

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Implementing Python

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作者: qte77
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更新時間: 2026年1月31日
職業

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01Python Implementation

Simple Tasks: Minimal functions, basic error handling, lightweight dependencies, focused tests

Complex Tasks: Class-based architecture, comprehensive validation, necessary dependencies, full test coverage

Always: Use existing project patterns, pass make validate

Output Standards

Simple Tasks: Minimal Python functions with basic type hints Complex Tasks: Complete modules with comprehensive testing All outputs: Concise, streamlined, no unnecessary complexity

Quality Checks

Before completing any task:

make validate

All type checks, linting, and tests must pass.

02

Python Standards

04Implementation Strategy

05Output Standards

06Quality Checks

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