claudecodex

pythonica

Comprehensive Python development -- patterns, testing, async, error handling, packaging, configuration, type safety, resilience, observability, Pydantic, and more

3 on GitHubby Jartan LLCv1.1.3MITupdated 2 days agodevelopment
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Plugin pythonica from marketplace grimoire in Jartan-LLC/grimoire. Commands read from the repo's manifest — 2 days ago.

What it installs

Skills (17)

  • async-python-patterns

    Python asyncio, concurrent programming, and async/await patterns for high-performance applications.

  • pydantic

    Python data validation using type hints and runtime type checking with Pydantic v2's Rust-powered core.

  • python-anti-patterns

    Common Python anti-patterns and a pre-merge review checklist.

  • python-api-docs

    Render Python docstrings into a browsable, published API reference with Sphinx, autodoc, napoleon, and MyST.

  • python-code-style

    Python code style, linting, formatting, naming conventions, and documentation standards.

  • python-configuration

    Python configuration management via environment variables and typed settings.

  • python-error-handling

    Python error handling patterns including input validation, exception hierarchies, and partial failure handling.

  • python-observability

    Python observability patterns including structured logging, metrics, and distributed tracing.

  • python-packaging

    Create distributable Python packages with proper project structure, pyproject.toml, and publishing to PyPI.

  • python-patterns

    Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.

  • python-performance-optimization

    Profile and optimize Python code using cProfile, memory profilers, and performance best practices.

  • python-project-structure

    Python project organization, module architecture, and public API design.

  • python-resilience

    Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators.

  • python-resource-management

    Python resource management with context managers, cleanup patterns, and streaming.

  • python-testing

    Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.

  • python-type-safety

    Python type safety with type hints, generics, protocols, and strict type checking.

  • uv-package-manager

    The uv package manager for fast Python dependency management, virtual environments, and modern project workflows.

View source on GitHub

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