Community Plugin

aeo-python

Python development skills covering CLI engineering, data pipelines, and terminal UI development with Textual

0.3.0

Updated 23 days ago

AI Insight

A plugin providing Python development skills for building command-line tools, data processing pipelines, and interactive terminal user interfaces using the Textual framework.

Why this plugin

Offers specialized, battle-tested Python automation skills for CLI engineering and data workflows within a larger marketplace, saving time over building from scratch. Integrates seamlessly with other development and automation plugins.

Prerequisites

Requires the AEO Skill Marketplace plugin to be added first. Then install via '/plugin install aeo-python@aeo-skill-marketplace'. Python environment needed for development.

python

cli

automation

Install

Add the repository(one-time)

/plugin marketplace add aeyeops/aeo-skill-marketplace

Install the plugin

/plugin install aeo-python@aeo-skill-marketplace

Components

Skills

agent-tui-expert

inherits

11 assets

Construct rich terminal interfaces using Textual for multi-pane dashboards with CSS styling and Python Prompt Toolkit for interactive line editing with completions. Covers widget composition, key bindings, TUI testing strategies, and WSL2 layout quirks. Engage when building IDE-style interfaces, REPL shells, or dashboard applications.

python-cli-engineering

inherits

11 assets

Engineer production-grade Python CLI tools with UV for package management, Ruff for linting, Pyright for strict typing, Typer for commands, and Rich for polished output. Addresses fail-fast patterns, pydantic-settings configuration, modular code organization, and professional UX conventions. Apply when creating admin utilities, data processors, or developer tooling.

python-data-engineering

inherits

14 assets

Implement data pipelines with SQLAlchemy 2.0 patterns (TypeDecorator, hybrid properties, events) and warehouse architectures (Kimball star schemas, medallion layers, SCD handling). Covers ETL/ELT design, dim_/fact_/stg_ conventions, and orchestration with dbt, Airflow, or Dagster. Reference for API-to-database flows or dimensional modeling with Python and PostgreSQL.

Stats

Stars0

MaintenanceGood

Last Commit23 days ago

Community Promotion

Collections

Links

View on GitHub

View README

Plugin Marketplace JSON

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