mastering-python-skill
Modern Python coaching covering language foundations through advanced production patterns. Use when asked to "write Python code", "explain Python concepts", "set up a Python project", "configure Poetry or PDM", "write pytest tests", "create a FastAPI endpoint", "run uvicorn server", "configure alembic migrations", "set up logging", "process data with pandas", or "debug Python errors". Triggers on "Python best practices", "type hints", "async Python", "packaging", "virtual environments", "Pydantic validation", "dependency injection", "SQLAlchemy models".
Works with
--- name: mastering-python-skill description: Modern Python coaching covering language foundations through advanced production patterns. Use when asked to "write Python code", "explain Python concepts", "set up a Python project", "configure Poetry or PDM", "write pytest tests", "create a FastAPI endpoint", "run uvicorn server", "configure alembic migrations", "set up logging", "process data with pandas", or "debug Python errors". Triggers on "Python best practices", "type hints", "async Python", "packaging", "virtual environments", "Pydantic validation", "dependency injection", "SQLAlchemy models". license: MIT --- # Mastering Python Skill Production-ready Python patterns with runnable code examples. ## Contents - [Workflow](#workflow) - [Reference Files](#reference-files) - [Sample CLI Tools](#sample-cli-tools) - [When NOT to Use](#when-not-to-use) - [Full Table of Contents](TOC.md) --- ## Workflow ### Phase 1: Setup 1. Verify Python version ```bash python --version # Require 3.10+, prefer 3.12+ ``` 2. Create and activate virtual environment ```bash python -m venv .venv && source .venv/bin/activate ``` 3. Install dependencies ```bash poetry install # or: pip install -r requirements.txt ``` ### Phase 2: Develop 4. Reference appropriate patterns: - Types → [type-systems.md](references/foundations/type-systems.md) - Async → [async-programming.md](references/patterns/async-programming.md) - APIs → [fastapi-patterns.md](references/web-apis/fastapi-patterns.md) - DB → [database-access.md](references/web-apis/database-access.md) 5. Follow project structure from [project-structure.md](references/foundations/project-structure.md) ### Phase 3: Validate 6. Run quality checks ```bash ruff check . && ruff format --check . mypy src/ ``` 7. Run tests with coverage ```bash pytest -v --cov=src --cov-report=term-missing ``` ### Phase 4: Deploy 8. Build and verify package ```bash python -m build && twine check dist/* ``` 9. Deploy per [docker-deployment.md](references/packaging/docker-deployment.md) or [ci-cd-pipelines.md](references/production/ci-cd-pipelines.md) **Pre-Completion Checklist:** ``` - [ ] All tests pass - [ ] mypy reports no errors - [ ] ruff check clean - [ ] Coverage ≥80% - [ ] No security warnings in dependencies ``` --- ## Reference Files | Category | Files | Key Topics | |----------|-------|------------| | **Foundations** | [syntax-essentials](references/foundations/syntax-essentials.md), [type-systems](references/foundations/type-systems.md), [project-structure](references/foundations/project-structure.md), [code-quality](references/foundations/code-quality.md) | Variables, type hints, generics, src layout, ruff, mypy | | **Patterns** | [async-programming](references/patterns/async-programming.md), [error-handling](references/patterns/error-handling.md), [decorators](references/patterns/decorators.md), [context-managers](references/patterns/context-managers.md), [generators](references/patterns/generators.md) | async/await, exceptions, Result type, with statements, yield | | **Testing** | [pytest-essentials](references/testing/pytest-essentials.md), [mocking-strategies](references/testing/mocking-strategies.md), [property-testing](references/testing/property-testing.md) | Fixtures, parametrize, unittest.mock, Hypothesis | | **Web APIs** | [fastapi-patterns](references/web-apis/fastapi-patterns.md), [pydantic-validation](references/web-apis/pydantic-validation.md), [database-access](references/web-apis/database-access.md) | Dependencies, middleware, validators, SQLAlchemy async | | **Packaging** | [poetry-workflow](references/packaging/poetry-workflow.md), [pyproject-config](references/packaging/pyproject-config.md), [docker-deployment](references/packaging/docker-deployment.md) | Lock files, PEP 621, multi-stage builds | | **Production** | [ci-cd-pipelines](references/production/ci-cd-pipelines.md), [monitoring](references/production/monitoring.md), [security](references/production/security.md) | GitHub Actions, OpenTelemetry, OWASP, JWT | See [TOC.md](TOC.md) for detailed topic lookup. --- ## Sample CLI Tools Runnable examples demonstrating production patterns: | Tool | Demonstrates | Reference | |------|-------------|-----------| | [async_fetcher.py](sample-cli/async_fetcher.py) | Async HTTP, rate limiting, error handling | [async-programming.md](references/patterns/async-programming.md) | | [config_loader.py](sample-cli/config_loader.py) | Pydantic settings, .env files, validation | [pydantic-validation.md](references/web-apis/pydantic-validation.md) | | [db_cli.py](sample-cli/db_cli.py) | SQLAlchemy async CRUD, repository pattern | [database-access.md](references/web-apis/database-access.md) | | [code_validator.py](sample-cli/code_validator.py) | Run→check→fix with ruff and mypy | [code-quality.md](references/foundations/code-quality.md) | ```bash # Test examples python sample-cli/async_fetcher.py https://httpbin.org/get python sample-cli/config_loader.py --show-env python sample-cli/db_cli.py init --sample-data && python sample-cli/db_cli.py list python sample-cli/code_validator.py src/ ``` --- ## When NOT to Use - **Non-Python languages**: Use language-specific skills - **ML/AI model internals**: Use PyTorch/TensorFlow skills - **Cloud infrastructure**: Use AWS/GCP skills for infra (this covers code) - **Legacy Python 2**: Focus is Python 3.10+
More Testing skills
tdd
mattpocock/skills
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
setup-pre-commit
mattpocock/skills
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
agent-browser
vercel-labs/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

