Detailed PEP 8 guide for Python code — layout, imports, names, whitespace, comments, programming recommendations (None comparisons, exceptions, return, strings).
Python performance profiling and optimization: bottleneck detection, memory tuning, benchmarking
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improvi — from…
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improvi — from…
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improvi — from…
Python data processing pipelines with modular architecture. Use when building content processing workflows, implementing dispatcher patterns, integrating Google Sheets/Drive APIs,…
Instructs the agent on Polars reshaping methods, including pivot, unpivot, transpose, explode, and partition_by.
Generate PowerPoint decks programmatically from data using the python-pptx library. Best for templated decks — per-customer reports, weekly metrics, batched architecture summaries…
Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices.
Expert Python developer specializing in Python 3.11+ features, type annotations, and async programming patterns.
Python-specific idioms, philosophy, and expert-level patterns. Use when working with Python code, including Jupyter notebooks (.ipynb).
Expert-level skill for Python programming (Python 3.12+). Covers type safety, async/await, FastAPI/SQLAlchemy, packaging (uv/Poetry), linting (Ruff), and testing with pytest in…
Modern Python project architecture guide for 2025. Use when creating Python projects (APIs, CLI, data pipelines). Covers uv, Ruff, Pydantic, FastAPI, and async patterns.
Generates a universal `config/` folder (paths.py, files.py, dotenv.py, settings.py, __init__.py, .env.example) that works across any Python project — FastAPI, CLI, scripts, or AI…
Creates Python projects with proper structure, virtual environments, and dependency management. Use when users request to create a new Python project, set up a Python development…
Universal project scaffolding toolkit — drops pre-built, battle-tested layers (config, helpers) into any Python project with a single command.
Python project organization, module architecture, and public API design. Use when setting up new projects, organizing modules, defining public interfaces with __all__, or planning…
Resolves Python package dependencies using the PyPI JSON API and pip resolver algorithm. Generates locked requirements files and checks compatibility across Python version markers…
End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI.
Indexes Python package documentation using the PyPI JSON API and Read the Docs API. Builds searchable reference catalogs with function signatures, type hints, and usage examples.
pytest testing patterns for Python. Triggers on: pytest, fixture, mark, parametrize, mock, conftest, test coverage, unit test, integration test, pytest.raises.
pytest testing patterns for Python. Triggers on: pytest, fixture, mark, parametrize, mock, conftest, test coverage, unit test, integration test, pytest.raises.
Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators.
Python resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing cleanup logic, or building streaming…
Python coding rules from ai-toolkit: coding-style, frameworks, patterns, security, testing. Triggers: .py, .pyi, pyproject.toml, requirements.txt, Pipfile, FastAPI, Django, Flask,…
Use when building or reviewing service, job, or CLI runtime behavior in Python — designing startup validation, shutdown sequences, observability, and structured logging.
Guidelines for translating Python functional patterns and simulations to idiomatic Scala.
Create robust Python automation with full logging and safety checks. Use when tasks need complex data processing, authenticated API work, conditional file operations, or error…
Python SDK for inference.sh - run AI apps, build agents, and integrate with 150+ models. Package: inferencesh (pip install inferencesh).
Python patterns for CLI tools, async concurrency, and backend services. Use when working with Python code, building CLI apps, FastAPI services, async with asyncio, backgr — from…
Python language expert -- debugging, packaging (PyInstaller/Nuitka/cx_Freeze), testing (pytest/unittest), type checking (mypy/pyright), async/concurrency patterns, performance…
Systematic Python debugging workflow for spreadsheet tasks to isolate environment issues from script logic
Python 3.11 のコーディング規約を適用する。src/erre_sandbox/ 配下の .py ファイルを書く・修正する・レビューする時に必須参照。 asyncio を使った非同期コードを書く時、Pydantic v2 の BaseModel を定義する時、 FastAPI エンドポイントを実装する時、schemas.py…
Python coding style enforcement (PEP standards, type hints, docstrings, modern patterns). Auto-loads when writing or reviewing Python code.
Comprehensive Python programming guidelines based on Google's Python Style Guide. Use when Claude needs to write Python code, review Python code for style issues, refactor Python…
Review Python support scripts and dev tooling that live alongside Rust crates on changed code or whole-repo baseline audits when explicitly requested: changelog generators,…
Evaluate Python tests and Python code for meaningful pytest coverage, behavior assertions, fixture quality, CLI/file I/O boundaries, parser/date-time edge cases, and error-path…
Use this when authoring integration tests against a real backend (PostgreSQL, Redis, Kafka, MinIO, NATS, MongoDB), debugging slow or flaky container-backed tests, gating tests on…
Python testing patterns: pytest setup, fixtures, TDD, mocking, async tests, and integration tests
Advanced Python testing — async testing with pytest-asyncio, exception/side-effect testing, test organization, common patterns (API, database, class methods), pytest…
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development.
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development.
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development.
Use when managing Python packages, virtual environments, or linting and formatting Python code
Align Python formatting, linting, type checking, pytest configuration, dependency groups, local tooling, and CI validation around uv without overriding repo-local conventions.
Measures and improves Python type annotation coverage using mypy --html-report and pyright type completeness scoring.
Python type safety with type hints, generics, protocols, and strict type checking. Use when adding type annotations, implementing generic classes, defining structural interfaces,…
Use when building or structuring Python CLI commands with Typer, including commands, options, and multi-command apps.
Use when defining or evolving public interfaces, schema boundaries, or pydantic usage in Python. Also use when annotations are missing on public APIs, pydantic models appear…
Python type hints and type safety patterns. Triggers on: type hints, typing, TypeVar, Generic, Protocol, mypy, pyright, type annotation, overload, TypedDict.
Python type hints and type safety patterns. Triggers on: type hints, typing, TypeVar, Generic, Protocol, mypy, pyright, type annotation, overload, TypedDict.
Plan and validate Python version, dependency, uv lockfile, FastAPI, FastMCP, Pydantic, Ruff, mypy, pytest, and package metadata upgrades with staged checks.
Guidelines for Python dependency management using uv, the fast Python package installer and resolver.
Python virtual environment management, dependency handling, and project setup automation.
Enforce Python execution through `uv` instead of direct interpreter calls. Use when Codex needs to run Python scripts, modules, one-liners, tools, test runners, or package…
Use when preparing branches, commits, or PRs for Python changes — scoping work, running validation gates, and ensuring merge readiness.
Python workspace for MQL5 integration. TRIGGERS - MetaTrader 5 Python, mt5 package, MQL5-Python setup.
Use when working with Python tooling — uv package management, Hatchling build backend, ty or mypy type checker configuration, ruff linting, pre-commit hook setup, TOML read-write…
answer questions about pythongo code, docs, callbacks, errors, modules, functions, marketcenter, paramsmap, instrument_id, exchange, kline data, and strategy examples.
UTF-8 JSON file I/O utilities to avoid Windows encoding issues (CP-1252 vs UTF-8)