Skills Directory

Elite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide

Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requ

Develop AI-powered applications using Genkit in Python. Use when the user asks about Genkit, AI agents, flows, or tools in Python, or when e

Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setti

Universal release workflow. Auto-detects version files and changelogs. Supports Node.js, Python, Rust, Claude Plugin, GitHub Releases, annot

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, opti

Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when

Python code style, linting, formatting, naming conventions, and documentation standards. Use when writing new code, reviewing style, configu

Convert existing projects into Apify Actors - serverless cloud programs. Actorize JavaScript/TypeScript (SDK with Actor.init/exit), Python (

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, con

Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when set

Python project organization, module architecture, and public API design. Use when setting up new projects, organizing modules, defining publ

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.

Use this skill when reviewing Python code for common anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing imple

Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing valida

Python type safety with type hints, generics, protocols, and strict type checking. Use when adding type annotations, implementing generic cl

Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.

Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for

Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Pyth

Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics

Python configuration management via environment variables and typed settings. Use when externalizing config, setting up pydantic-settings, m

Python background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, j

Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators. Use when adding retry

Python resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing