ccfg-python

Autonomously analyze test coverage and generate targeted tests to improve coverage metrics. This

Initialize a new Python project with production-ready defaults

Run Python quality gate suite (ruff, mypy, pytest)

Use this agent for data analysis, machine learning, and statistical computing with Python. Invoke for pandas DataFrame operations, numpy computations, scikit-learn pipelines, data visualization, or exploratory data analysis. Examples: building ML pipelines with preprocessing and cross-validation, creating matplotlib/seaborn visualizations, performing statistical analysis, cleaning messy datasets, or implementing feature engineering workflows.

Use this agent for building Django web applications with ORM, views, REST APIs, and admin interfaces. Invoke for creating Django models, implementing Django REST Framework APIs, building admin panels, writing migrations, or implementing authentication. Examples: designing complex querysets, creating custom model managers, building API viewsets with permissions, implementing signals, or creating custom management commands.

Use this agent for building modern async REST APIs with FastAPI and Pydantic. Invoke for creating API endpoints, request/response models, dependency injection, middleware, WebSocket handlers, or background tasks. Examples: implementing CRUD APIs with async SQLAlchemy, creating OAuth2 authentication, building WebSocket chat servers, designing multi-tenant APIs, or adding comprehensive OpenAPI documentation.

Use this agent for building Flask web applications with blueprints, extensions, and lightweight APIs. Invoke for creating Flask app factories, implementing RESTful APIs, working with Jinja2 templates, or integrating Flask extensions. Examples: building modular applications with blueprints, implementing authentication with Flask-Login, creating database models with Flask-SQLAlchemy, or designing custom template filters.

Use this agent for Python packaging, dependency management, and build configuration. Invoke for pyproject.toml authoring, uv workspace setup, dependency group design, version management, or publishing workflows. Examples: migrating from setup.py to pyproject.toml, configuring uv workspaces for a monorepo, setting up build backends (hatchling, setuptools), managing dependency groups, creating src layout projects, or publishing packages to PyPI.

This skill should be used when creating or editing pyproject.toml, managing Python dependencies, configuring build systems, setting up uv workspaces, or publishing Python packages.

This skill should be used when working on Python projects, writing Python code, running Python tests, managing Python dependencies, or reviewing Python code.

This skill should be used when writing Python tests, creating pytest fixtures, configuring conftest.py, parametrizing tests, mocking dependencies, or improving test coverage.