Izangi2714
UserBoost Claude Code for Python with ready-made rules, tests, and QA automation for consistent, secure development
Categories
Indexed Skills (20)
allure-reporting
Allure Report integration with pytest — decorators, steps, attachments, severity levels, test categorization, CI/CD integration, and custom report plugins.
api-testing-patterns
API test automation patterns — httpx/requests client wrappers, response validation with Pydantic, test data factories, retry/polling utilities, schema testing, and contract testing.
async-http-patterns
Async HTTP client patterns for Python — httpx, aiohttp, retry strategies, connection pooling, streaming, and testing with respx.
celery-patterns
Celery patterns for distributed task queues — task definitions, retry strategies, scheduling, chains/groups, monitoring, and production configuration with Redis/RabbitMQ.
clickhouse-io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
database-migrations
Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments. Covers Alembic, Django, and raw SQL.
deployment-patterns
Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies for Python applications.
django-patterns
Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.
django-security
Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.
django-tdd
Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.
docker-patterns
Docker and Docker Compose patterns for Python development, container security, networking, and multi-service orchestration.
fastapi-patterns
FastAPI patterns for building production-grade APIs — routing, Pydantic models, dependency injection, middleware, async patterns, WebSockets, and background tasks.
postgres-patterns
PostgreSQL database patterns for query optimization, schema design, indexing, and security.
pydantic-patterns
Pydantic v2 patterns — models, validators, serialization, computed fields, discriminated unions, settings management, and integration with FastAPI/SQLAlchemy.
pytest-oop-patterns
OOP-based pytest patterns for API test automation — base classes, service layers, fixtures hierarchy, parametrization, markers, parallel execution, and test isolation.
python-patterns
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
python-testing
Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
redis-patterns
Redis patterns for Python — caching, sessions, pub/sub, rate limiting, distributed locks, and integration with Django/FastAPI.
sqlalchemy-patterns
SQLAlchemy 2.0 patterns — ORM models, async sessions, relationships, queries, Alembic migrations, repository pattern, and performance optimization.
django-verification
Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks.
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