python-cli-patterns

Typer and Rich together enable building robust Python CLI applications with typed arguments, subcommands, and rich formatted output. This Skill provides patterns and templates for command registration, configuration management, error handling, and interactive prompts across simple commands to complex multi-level subcommand structures.

Modern Python CLIs use layered configuration combining environment variables, TOML files, and Pydantic models for validation. This Skill demonstrates composing state and context management, loading configuration from multiple sources, and organizing command groups and subcommands for maintainability in production applications.

Rich provides UI components for progress bars and styled output, while Typer's structured error handling enables graceful failures. This Skill covers implementing robust error handling patterns, interactive prompts, and rich terminal displays within CLI applications using these frameworks.

Yes. This Skill includes testable CLI templates and patterns that isolate command logic from framework concerns, enabling unit and integration testing of Typer-based applications. The provided templates structure code for dependency injection and test coverage.

Typer and Rich are modern, well-maintained choices for Python CLIs, but alternatives exist. This Skill specifically demonstrates patterns using Typer for command handling and Rich for output formatting; the underlying patterns are adaptable to other frameworks in the same category.

Use the included cli-template.py asset to scaffold a production-ready CLI foundation. It demonstrates command registration, argument typing, subcommand organization, configuration loading, and error handling—providing a ready-to-extend skeleton for real-world applications.