claude

impl-python

Python implementation specialist plugin with 8 specialized agents for code generation, testing, debugging, data persistence, platform integration, API development, releases, and environment management

3 on GitHubv2.0.1MITupdated 10 months agodevelopment
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Plugin impl-python from marketplace lucid-toolkit in rayk/lucid-toolkit. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (1)

  • python-dev-tools

Subagents (8)

  • python-api

    API development specialist for FastAPI, Django REST, authentication, rate limiting, and API design. Use when building REST/GraphQL endpoints, configuring auth, or designing API contracts.

  • python-coder

    Generates production-grade Python 3.12+ code with modern tooling (uv, ruff, pyright), strict typing, structured logging, and TDD. Use when user mentions Python, FastAPI, Pydantic, uv, ruff, or asks to generate Python code.

  • python-data

    Data persistence specialist for SQLAlchemy, PostgreSQL, Redis, migrations, and offline-first patterns. Use for database schema design, ORM configuration, caching, and data layer architecture.

  • python-debugger

    Expert debugging specialist using systematic root-cause analysis, defense-in-depth validation, and parallel investigation patterns. Use when facing bugs, test failures, unexpected behavior, or any issue requiring methodical diagnosis.

  • python-env

    Python environment specialist for setup, diagnosis, and repair. Use when uv/pip fails, pyright errors persist, Docker builds break, CI is slow, GCP deployment fails, Jupyter kernels misbehave, or Neo4j connection issues occur.

  • python-platform

    Platform integration specialist for native code, FFI, subprocess, multiprocessing, and OS integration. Use for C extensions, ctypes/cffi bindings, system calls, and cross-platform features.

  • python-release

    Release and distribution specialist for PyPI, Docker Hub, versioning, CI/CD, and changelogs. Use when publishing packages, configuring releases, or setting up distribution pipelines.

  • python-tester

    Python testing specialist for integration, e2e, property-based, and snapshot tests. Use when comprehensive test coverage is needed beyond inline TDD.

View source on GitHub

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