·dignified-python
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dignified-python

dagster-io/erk

Python coding standards with automatic version detection. Use when writing, reviewing, or refactoring Python to ensure adherence to LBYL exception handling patterns, modern type syntax (list[str], str | None), pathlib operations, ABC-based interfaces, absolute imports, and explicit error boundaries at CLI level. Also provides production-tested code smell patterns from Dagster Labs for API design, parameter complexity, and code organization. Essential for maintaining erk's dignified Python standards.

8Installs·2Trend·@dagster-io

Installation

$npx skills add https://github.com/dagster-io/erk --skill dignified-python

SKILL.md

Identify the project's minimum Python version by checking (in order):

Core files above cover 80%+ of Python code patterns. Only load these additional files when you detect specific patterns:

The references/ directory contains detailed guidance for specialized topics. Load these on-demand when you encounter relevant patterns:

Python coding standards with automatic version detection. Use when writing, reviewing, or refactoring Python to ensure adherence to LBYL exception handling patterns, modern type syntax (list[str], str | None), pathlib operations, ABC-based interfaces, absolute imports, and explicit error boundaries at CLI level. Also provides production-tested code smell patterns from Dagster Labs for API design, parameter complexity, and code organization. Essential for maintaining erk's dignified Python standards. Source: dagster-io/erk.

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Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/dagster-io/erk --skill dignified-python
Category
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Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is dignified-python?

Python coding standards with automatic version detection. Use when writing, reviewing, or refactoring Python to ensure adherence to LBYL exception handling patterns, modern type syntax (list[str], str | None), pathlib operations, ABC-based interfaces, absolute imports, and explicit error boundaries at CLI level. Also provides production-tested code smell patterns from Dagster Labs for API design, parameter complexity, and code organization. Essential for maintaining erk's dignified Python standards. Source: dagster-io/erk.

How do I install dignified-python?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/dagster-io/erk --skill dignified-python Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/dagster-io/erk