claudecodex

python-development

Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices

0 on GitHubby Curtis Blantonv1.3.0MITupdated 11 days agolanguages
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Plugin python-development from marketplace claude-code-workflows in shotcowboystyle/ag-skills. Commands read from the repo's manifest — 11 days ago.

What it installs

Skills (16)

  • async-python-patterns

    Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

  • python-anti-patterns

    Use this skill when reviewing Python code for common anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when debugging issues that might stem from known bad practices.

  • python-background-jobs

    Python background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles.

  • python-code-style

    Python code style, linting, formatting, naming conventions, and documentation standards. Use when writing new code, reviewing style, configuring linters, writing docstrings, or establishing project standards.

  • python-configuration

    Python configuration management via environment variables and typed settings. Use when externalizing config, setting up pydantic-settings, managing secrets, or implementing environment-specific behavior.

  • python-design-patterns

    Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when designing a new service or component from scratch and choosing how to layer responsibilities, when refactoring a God class or monolithic function that has grown

  • python-error-handling

    Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.

  • python-observability

    Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems.

  • python-packaging

    Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.

  • python-performance-optimization

    Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

  • python-project-structure

    Python project organization, module architecture, and public API design. Use when setting up new projects, organizing modules, defining public interfaces with __all__, or planning directory layouts.

  • python-resilience

    Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators. Use when adding retry logic, implementing timeouts, building fault-tolerant services, or handling transient failures.

  • python-resource-management

    Python resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing cleanup logic, or building streaming responses with accumulated state.

  • python-testing-patterns

    Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.

  • python-type-safety

    Python type safety with type hints, generics, protocols, and strict type checking. Use when adding type annotations, implementing generic classes, defining structural interfaces, or configuring mypy/pyright.

  • uv-package-manager

    Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.

Slash commands (1)

  • /python-development:python-scaffold

    Scaffold a Python project (FastAPI, Django, library, or CLI) with uv, type hints, testing, and dev tooling

Subagents (3)

  • python-development-django-pro

    Build or change one feature in a Django project (models and migrations, views or Django REST Framework endpoints, admin, background tasks) with tests, following the project's pinned Django version. Use when a task touches a Django codebase, an ORM query needs fixing (N+1, missing index), or a DRF AP

  • python-development-fastapi-pro

    Build or change one endpoint or feature in a FastAPI service (routes, Pydantic models, dependencies, async database access, background work) with tests, following the project's pinned versions. Use when a task touches a FastAPI codebase or an async Python API needs a new route, a validation fix or a

  • python-pro

    Write, fix or refactor one piece of general Python code (a module, script, CLI or library function) with type hints and tests, using the project's own tooling and pinned Python version. Use when a task is plain Python work not tied to Django or FastAPI. Not for Django (django-pro), FastAPI (fastapi-

View source on GitHub

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