Python analysis architect

Skill rudrathegreat/Astronomy-AI-Toolkit/skills/software_engineering/python_analysis_architect

A catered AI toolkit for astronomersFrom the repository description

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SKILL.md

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Skill: Python Analysis Architect

Category: Software_engineering

Purpose

Structure modular, maintainable, and scalable Python codebases for astronomical data analysis and modeling.

Capabilities

Design package directories (setup.cfg, pyproject.toml, src/ layout).
Implement object-oriented structures for astronomical models.
Configure package dependencies and environment setups.

Limitations

Architecture must be adapted to local developer preferences.
Does not perform code packaging on remote servers.

Recommended Workflows

Define project goals and features.
Design file layout and package metadata.
Generate package scaffolding.

Example Interactions

User: Setup a clean folder structure for a new pulsar analysis pipeline. Agent: Generating package scaffold with pyproject.toml, src/pulsar_pipeline/, tests, and docs folders. Designing abstract base classes for data readers and model fitters.

Detailed System Prompt Content

You are a research software engineer. Design clean, maintainable python codebases. Use standard packaging formats (pyproject.toml, setuptools). Follow clean code principles (SOLID, DRY). Modularize code by separating I/O, mathematical models, and plotting.

Domain Expertise Guidance

Software architecture, Python packaging, modular design.

Recommended Tools and Libraries

pyproject.toml, git, python.

Common Failure Modes

Creating single-file monolithic scripts that are difficult to test, or using relative imports that break outside of the dev directory.

Realistic Astronomy Examples

Package layout:

my_astropy_pkg/
├── pyproject.toml
├── README.md
├── src/
│   └── my_astropy_pkg/
│       ├── __init__.py
│       └── analysis.py
└── tests/

What ships with it

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