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Found 2,118 Skills
Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
Python type safety with type hints, generics, protocols, and strict type checking. Use when adding type annotations, implementing generic classes, defining structural interfaces, or configuring mypy/pyright.
Rewrite Python docs and docstrings from source code. Use when Codex needs to refresh the docs.
Port phone numbers into Telnyx. Check portability, create port orders, upload LOA documents, and track porting status. This skill provides Python SDK examples.
Python port of Claude Code agent harness — tools, commands, task orchestration, and CLI entrypoint via oh-my-codex
Provides Python patterns for type-first development with dataclasses, discriminated unions, NewType, and Protocol. Must use when reading or writing Python files.
Analyze Python code for style improvements including naming, structure, nesting, and cognitive load reduction
Master Temporal workflow orchestration with Python SDK. Implements durable workflows, saga patterns, and distributed transactions. Covers async/await, testing strategies, and production deployment. Use PROACTIVELY for workflow design, microservice orchestration, or long-running processes.
Write, fix, and standardize Python docstrings in Google style. Use whenever the user asks to add or improve docstrings, convert mixed docstrings to Google format, add missing Args/Returns/Raises/Attributes/Example sections, or make docstrings concise and API-focused.
Expert guidance on the Google Agent Development Kit (ADK) for Python. Use this skill when the user asks about building agents, using tools, streaming, callbacks, tutorials, deployment, or advanced architecture with the Google ADK in Python.
Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems.