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…
Scaffold a multi-repo Python workspace with models library, core library, Flask backend, and optional sub-projects.
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.
Release engineering for Python projects on uv — static versioning in pyproject.toml exposed via importlib.metadata, building the sdist and wheel with uv build, publishing to PyPI…
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…
Expert Python code reviewer specializing in PEP 8 compliance, Pythonic idioms, type hints, security, and performance. Use for all Python code changes.
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.
Maps Python list, dict, and set operations onto Scala List, Map, and Set: typed empty creation, map/filter/foldLeft, lift/getOrElse, groupBy, zipWithIndex field order, and local…
Guidelines for translating Python functional patterns and simulations to idiomatic Scala.
Rewrites Python-shaped Scala toward host idioms: val over var, expression-bodied match, camelCase, Option/Either instead of null or sentinels, smart constructors, and companion…
Ports Python classes, frozen dataclasses, ABCs, mixins, properties, static and class methods, dunders, enums, factories, and singletons onto Scala 3 class, case class, trait,…
Maps everyday Python syntax to idiomatic Scala 3 (val/var, Option vs None, for/yield, interpolation, operators, typed errors).
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).
Use when: writing Python code, designing software architecture in Python, learning best practices, or fixing Python bugs.
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…
Analyzes a Python project and configures 9-dimension quality methodology including hooks, CI, and tool configs.
How a Vis sandbox Python shim is built and linted: one lazy shim_*.clj per shim, Python in resources/vis-shims, the runtime handle registry every shim that hands out a host id…
Use when you have a Python webservice codebase (e.g., a Flask, Django, or FastAPI application) and need to document its HTTP API surface (endpoints, methods, parameters, schemas,…
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…
Maintains strict Python projects with Ruff, mypy, Pyright, pytest, editor, and package-script gates. Use when creating, auditing, or repairing strict lint, format, typecheck,…
Use when you need to serialize heterogeneous data (e.g., index integers and file offsets of different byte widths) into a compact binary format, or parse a binary file format…
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,…
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…
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.
Python工具箱(专业版)面向团队与企业,提供完整的Python编码规范、类型系统、异步优秀实践、测试金字塔、性能优化策略与CI/CD治理方案。核心能力: - 全规范覆盖:PEP 8 + 类型系统 + 异步 + 性能 + 安全 - 完整类型注解:泛型、Protocol、TypedDict、overload - asyncio异步优秀实践与并发控制 -…
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…
Add type hints where they catch real errors and document contracts, choosing Protocol, generics, or TypedDict deliberately and setting a checker strictness you can actually hold.
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.
Audita la coherencia de versión de Python en un repositorio (pyproject.toml requires-python + classifiers + target-version de ruff/mypy/black, Dockerfile FROM,…
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.
Use when you have raw LC/MS data in mzML format and need to execute a complete non-targeted screening workflow to extract and annotate chemical features.
Python workspace for MQL5 integration. TRIGGERS - MetaTrader 5 Python, mt5 package, MQL5-Python setup.
QECTOR release engineering, wheel-only distribution, the chunked base64 Rust-core delivery, feature flags in published wheels, the pre-flight gates, and the v2 token format.